WO2000055782A2 - Demand aggregation through online buying groups - Google Patents

Demand aggregation through online buying groups Download PDF

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Publication number
WO2000055782A2
WO2000055782A2 PCT/US2000/003814 US0003814W WO0055782A2 WO 2000055782 A2 WO2000055782 A2 WO 2000055782A2 US 0003814 W US0003814 W US 0003814W WO 0055782 A2 WO0055782 A2 WO 0055782A2
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WO
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Prior art keywords
product
buying
price
buyer
processing system
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PCT/US2000/003814
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French (fr)
Other versions
WO2000055782A8 (en
Inventor
Tom Van Horn
Niklas Gustafsson
Dale Woodford
Original Assignee
Mercata, Inc.
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First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=23030407&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=WO2000055782(A2) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Mercata, Inc. filed Critical Mercata, Inc.
Priority to AU33645/00A priority Critical patent/AU3364500A/en
Publication of WO2000055782A2 publication Critical patent/WO2000055782A2/en
Publication of WO2000055782A8 publication Critical patent/WO2000055782A8/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0605Supply or demand aggregation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0609Buyer or seller confidence or verification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0633Lists, e.g. purchase orders, compilation or processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0641Shopping interfaces

Definitions

  • the present invention relates to demand aggregation for goods and services and the computerized operation of global buying groups conducted over electronic networks such as the Internet.
  • This invention provides a method and apparatus to globally locate, encourage and enable all buyers wishing to purchase a particular product or service within a given time frame to join forces in a buying group ("co-op") formed specifically to accomplish the desired purchase.
  • the co-op will enable individual buyers to leverage their combined purchasing power to achieve an economic bargain far superior to that attainable by any one buyer acting alone. This superior bargain most often will be reflected in terms of a lower price.
  • the invention also provides a method and apparatus that allows each buyer an opportunity to increase the volume of any given co-op in order to further increase group buying power within a co-op. It also includes a mechanism through which buyers can form any number of special interest groups, provide their collective wisdom to dictate which products are featured in future co-ops, or even make a market for a given product or service.
  • Other key aspects of the invention include a means to allow unprecedented access to certain market and pricing information derived from co-op member input during the life of each co-op. For example, all buyers wishing to join a co-op must submit a binding offer guaranteeing their willingness to purchase the featured item at or below some maximum price determined by each individual member. This collection of purchase offers provides valuable quantitative data regarding price sensitivity for the featured item.
  • the invention permits real time yield management decisions that often will benefit both buyers and suppliers.
  • the invention provides data from which a supplier can be informed that if the product price is reduced by a specified amount, the co-op's pool of accepted offers - i.e., final sales - will increase by a specific quantity. The guaranteed increase in volume due to a reduced price would improve its overall yield. Under this scenario, both the co-op buyers and the product supplier benefit from the indicated price reduction.
  • auction sales format permits buyer interaction, it too vests most of the bargaining power in the seller by permitting him or her to select the item to be sold and the time at which it will be offered for sale. Auctions also typically permit the seller to specify a minimum price at which the item may be sold. Moreover, the auction model further deteriorates the power of each individual buyer by pitting him or her against similarly situated buyers, all competing to pay the highest price for the item.
  • a store 10 is simply a collection of products 12.
  • a mall 14, of course is a collection of stores 10.
  • buyers 16 have had to come to the seller's pre-selected and pre-priced collection of products 12 in order to make a purchase.
  • This invention represented in Figure 3, turns the point of sale into a collection of buyers 16 (the "co-op"), rather than products 12. It further permits these co-ops to be located among any number of other co-ops at an Internet or other network site provided by a business entity implementing the invention.
  • This fundamental shift in structure provides many advantages each discussed in detail below.
  • this invention enables a tremendous shift in power from the seller of goods and services to the buyer of goods and services. Rather than permitting the product seller to establish the product's sales price, it permits each buyer to establish a maximum price at which he or she will purchase the product. (Notwithstanding this specification of a maximum acceptable price, all co-op members enjoy the full measure of price reductions achieved through the co-op. Hence, each member ' s offer will be accepted at the co-op's lowest —i.e., the ending ⁇ price.) Co-op members are further empowered by certain other features of the invention.
  • each member after joining a given co-op each member will be given an opportunity to drive volume to further reduce prices by e-mailing people he or she knows who might be interested in joining the co-op. In this way, every member can help the co-op attain its critical mass (which guarantees the success of the co-op) and surplus volume (which serves to drive prices below previously anticipated levels).
  • the invention permits buyers to help choose which products and brands will be featured in future co-ops. Through this feature, buyers also can actually create a market for a particular product. For example, this input feature would permit a general query regarding whether there is sufficient buyer interest for a particular style of wristwatch (in which one or more buyers had previously inquired).
  • a business entity implementing the invention could then seek out a jewelry manufacturer willing to make a large volume of the watches and then offer such items to those who expressed interest and potentially others in a future co-op.
  • the invention's method presents a buying model far superior (from the standpoint of the buyer) to that of the auction sales model.
  • the invention provides an effective method for focused aggregation of purchasing power (1 e., all people currently w ll ng and able to purchase a featured product without regard to their geographic location, profession, or any conflicting or specific personal interests of the individual buyers withm the group) This method of aggregation will generate far greater participation and purchasing power than any traditional co-op To illustrate this point, consider a typical "small business" co-op It likely would generate some demand for a particular premium brand computer p ⁇ nter However, it normally would be limited in its geographic reach And even if the co-op were operated globally via the internet, its demand would not encompass all people using the internet who might be interested m buying that particular p ⁇ nter.
  • the method and apparatus of this invention further provides a means through which individual buyers can aggregate on the basis of broader interest groups for any purpose including access to the latest product and other information of interest to the group. (Benefits to suppliers)
  • each buyer In order to join a co-op, each buyer must determine the maximum p ⁇ ce at which (or below) he or she is willing to purchase the featured item Such amount is specified in his or her binding purchase offer That offer is guaranteed by the buyer's credit card. All offers including the va ⁇ ous amounts at which they are submitted are collected and summa ⁇ zed in a database This process enables accurate, real-time yield management decisions which can be used to advocate a lower per unit p ⁇ ce For example, the business entity implementing the invention would be able to represent to a supplier that if the p ⁇ ce were lowered by $X, the sales volume will increase by an additional 1,000 units. Although the per unit p ⁇ ce would drop, the supplier ' s overall profit yield may increase due to the substantial increase m volume Hence, this invention eliminates the uncertainty that often makes suppliers reluctant to lower p ⁇ ces
  • the p ⁇ cmg data desc ⁇ bed above represents an extraordma ⁇ ly complete picture of the p ⁇ ce sensitivity with respect to a given product because it captures not only actual sales data, but also price specific data on potential sales that were not completed because of price.
  • this invention enables the feasible collection of various other types of market data such as geographic distribution and other characteristics of the buyers interested in a given product. In addition, it enables a superior way to gauge interest in future products and services.
  • this invention's method of globally creating buying groups on a purchase by purchase basis brings a vast number of potential buyers to the bargaining table. Consequently, it provides a superior method of quickly moving large quantities of specific products.
  • This will be useful to product suppliers in many ways.
  • a supplier might utilize the invention's sales platform to sell a substantial volume of one product for the specific purpose of increasing its market share. It even would be possible under this example for the supplier to specify a minimum sales volume so that no sales are made unless its market share objectives are met.
  • a supplier could utilize this invention as a platform for unloading a large volume of specific products nearing the end of their product life cycle.
  • Suppliers might also utilize this invention as a means to accomplish swift inventory leveling for cash flow or financial reporting purposes. While there are existing channels through which suppliers can sell closeout products or accomplish inventory leveling, none provide the ability to quickly move a substantial volume of inventory while still maximizing profit yield in the manner described above.
  • membership of any given broader special interest groups that can be created through this invention (e.g., camera enthusiasts) might epitomize the target customer for a particular product or service of a supplier. Possible ready access to such group, as possibly limited by each group membership, could be extremely valuable to suppliers for general marketing, product testing, and other purposes.
  • Browser A specific type of client system, referring to an HTTP client enabling the display of various forms of information originating at the server; also capable of sending information, such as requests and personal data, to the server at the request of the end user.
  • a browser is not the only possible or intended client system. Our method and apparatus apply only to the server, and are not dependent on what form of client is used, only that some client exists as the means of input.
  • Co-op For the purposes of this application, the term 'co-op' as used throughout is not intended to refer to the traditional cooperative form of business which is owned by all of its members. A business organization implementing this invention need not be organized as a cooperative. Instead, we use the term 'co-op' to refer to the online manifestation of buying groups who have committed to purchase a certain product within a specified price (i.e., at or below a maximum price). Co-ops are also occasionally refe ⁇ ed to herein as 'buying groups,' 'buying co-ops' and 'product co-ops. '
  • Critical Mass The volume of acceptable offers necessary before any purchase offers will be accepted.
  • the critical mass may be specified by a supplier. It may also be the sales volume at which the starting co-op price is justified.
  • Cu ⁇ ent Price The price stated as current at any given time during the co-op. One significance of the current price is that availability is guaranteed for offers at or above such price after critical mass is achieved.
  • E-commerce server Is here used to refer to a specific server software system, residing on a set of CPUs, that is used to send information to the client system(s) and accepting input from said clients for the sole purpose of taking orders, whether they are for co-ops or not.
  • Ending Price The price specified at the end of the co-op, which represents the price at which all offers are accepted.
  • Featured Product Any product or product variant identified for sale through a co-op.
  • the term 'featured product' includes any services which might be identified for sale through a co-op.
  • HTTP The Hyper-Text Transfer Protocol.
  • HTTP server A specific server software system, residing on a set of CPUs, which is used to communicate with client systems such as HTTP browsers.
  • the HTTP server is only one means of communication between the client and server, and its inclusion in this discussion of our invention is not meant to imply that it is the only means of implementation of the invention.
  • Offer or Purchase Offer A binding, non-cancelable offer to purchase a featured product within a price range the maximum of which is specified by the buyer. Each such offer is guaranteed by the respective buyer's credit card at the time it is offered. Making an offer is a condition precedent to joining a co-op. The offer is either accepted or rejected at the close of the co-op.
  • Price Curve A description of price as a function, in the mathematical sense, of the number of units. See Figure 6.
  • Product and Product Variant A product is a set of items for sale, which all has a certain set of significant characteristics in common. For example, a particular brand and style of in-line skates, each having the same characteristics, such as design, brand, color, a left and a right skate sold together, etc.
  • a product variant is a subset of a product. For example, size 5 and size 8 of a particular pair of in-line skates are different variants of the same product.
  • a product can be a tangible or intangible object or a service.
  • server The term 'server' is here used to refer to the set of hardware and software systems that are used to implement co-ops in accordance with this invention. These systems are to be distinguished from the client systems that are used by buyers to participate in co-ops. See Figures 4 and 5.
  • Server process A computer program that is part of the server software systems, and which executes in its own address space, communicating with other processes via means defined by the operating system(s) of the hardware platforms. Unfortunately, it is necessary to use the term 'process' to describe other things than computer programs executing in their own address space in this application, so care has been taken to always use the term 'server process' when the latter is meant.
  • a system for an on-line buying co-op includes an e-commerce server data processing system.
  • the e-commerce server data processing system has e-commerce server software executable on the e-commerce server data processing system.
  • the e-commerce server software is configured to define a buying co-op for a product by specifying the product for the co-op, a time interval within which members can join the co-op, the point at which critical mass is reached, any minimum or maximum quantity of the product available through the co-op, and one or more price curves for the featured product.
  • the e- commerce server software is further configured to accept inputs from buyers to take orders for the product.
  • a buyer client data processing system is coupled to the e-commerce server data processing system.
  • the buyer client data processing system includes first client software executable on the buyer client data processing system.
  • the first client software is configured to receive data from said e-commerce data processing system describing the buying co-op for the product, to display the data describing the buyer's co-op for the product on the buyer client data processing system, to receive buyer order inputs for the product and to transmit buyer order inputs for the product to the e-commerce server data processing system.
  • an e-commerce server data processing system for implementing a buying co-op has e-commerce server software executable on the e-commerce server data processing system.
  • the e-commerce server software is configured to define a buying co-op for a product by specifying the product for the co-op, a time interval during which the co-op is available, the point at which critical mass is reached, any minimum or maximum quantity of the product available through the co-op, and one or more price curves for the featured product.
  • the e-commerce server software is further configured to accept inputs from buyers in the form of binding purchase offers to purchase the featured product.
  • a process for operating an on-line buying coop includes defining a buying co-op for a product at an e-commerce server data processing system by specifying the product for the co-op, a time interval during which the co-op is available, any minimum or maximum quantity of the product available through the co-op, and one or more price curves for the featured product.
  • Data describing the buying co-op for the product is transmitted from the e-commerce data processing system to a buyer's data processing system.
  • the data describing the buyer's co-op for the product is displayed on the buyer's data processing system.
  • a buyer order input for the product is received on the buyer's data processing system.
  • a buyer order input for the product is transmitted from the buyer's data processing system to the e-commerce server data processing system.
  • the buyer order input is accepted in the e-commerce data processing system to record a purchase offer for the product.
  • a process for defining an on-line buying coop for a product in an e-commerce server data processing system includes specifying the product for the co-op.
  • a time interval is specified during which the co-op is available.
  • the point at which critical mass is reached is specified, which is usually a minimum quantity of the product specified either by a supplier or by the entity implementing the invention for a given p ⁇ ce Any maximum quantity of the product available through the co-op is specified
  • One or more p ⁇ ce curves are defined for the product available through the co-op
  • an article of manufacture comp ⁇ ses a computer readable storage medium having stored therein a computer program for operating va ⁇ ous product co-ops simultaneously.
  • the computer program includes a first code segment for defining a buying co-op for a product at an e-commerce server data processing system by specifying the product for the co-op, a time interval du ⁇ ng which the co-op is available, the point at which c ⁇ tical mass is reached, usually a minimum quantity of the product for a given p ⁇ ce, established as above, any maximum quantity of the product available through the co-op, and one or more p ⁇ ce curves for the featured product.
  • a second code segment is for transmitting data desc ⁇ bing the buying co-op for the product from the e-commerce data processing system to a buyer's data processing system.
  • a third code segment is for receiving purchase offer input in the e-commerce data processing system to record an offer for the product.
  • an article of manufacture comp ⁇ ses a computer readable storage medium having stored therein a computer program for defining an on-line buying co-op.
  • the computer program includes a first code segment which, when executed m a computer, specifies the product for the co-op.
  • a second code segment when executed in the computer, specifies a time interval for which the co-op is available.
  • a third code segment when executed in the computer, specifies any minimum or maximum quantity of the product available through the co- op.
  • a fourth code segment when executed in the computer, defines one or more p ⁇ ce curves for the product available through the co-op.
  • a co-op for a g ⁇ en product or product va ⁇ ant is defined by placing onto the e-commerce server a set of data desc ⁇ bmg the co-op in terms of its p ⁇ ce curve(s), the featured product, the time interval du ⁇ ng which the co-op is available, the point at which c ⁇ tical mass is reached, and the minimum and maximum quantities available Some of these defining properties of a co-op may not be revealed to the buyer
  • a further contingency may be placed on a buyer's offer based on p ⁇ ce Specifically, should any given buyer indicate that he does not find the cu ⁇ ent p ⁇ ce acceptable, but nevertheless wishes to buy it at a lower p ⁇ ce, his offer is made contingent upon the co-op reaching the lower p ⁇ ce However, should his offer be deemed to fall withm reasonable range of the cu ⁇ ent p ⁇ ce, as defined separately for each co-op, it may be considered part of the market dynamics around the product offered in the co-op As such, it may reduce the p ⁇ ce of the co-op As more offers are made, and the cu ⁇ ent p ⁇ ce drops to a level at or below the contingent p ⁇ ce specified, the contingency based on p ⁇ ce is removed Offers may be increased up to the cu ⁇ ent p ⁇ ce any time du ⁇ ng the co-op should buyers wish to improve their chance of success or ensure availability of the item However, offers may not be cancelled nor may buyers reduce their offered p ⁇ ce
  • a co-op is further defined by the 'price curve visibility window,' which is the difference in price that is deemed interesting to a buyer of a given product.
  • the visibility window is in essence the granularity at which the actual price curve is displayed to buyers.
  • Merchandising and yield management personnel will define each co-op by means of data entry. Such data entry is not limited to time prior to the opening of a co-op.
  • the definition of a co-op, including its price curve, is subject to modification during its lifetime. In fact, the ability to modify the co-op definition based on data gathered from offers to participate in a co-op is an essential aspect of the invention. Once a buyer joins a particular co-op, he or she will be permitted to initiate e- mail messages designed to increase buyer volume, thereby further reducing the price available to all.
  • the recipient of such e-mail will be directed back to the specific coop by either a reply function or a link within the e-mail message. If he or she joins, he or she can then send messages to his or her friends and so on. Once a co-op is closed, either because the prescribed time limit is met, or any maximum number of available items is sold, all offers at or above the closing price are accepted and final sales information is communicated to other server processes, which handle the orders' fulfillment via traditional means of hard and digital goods transportation. Buyers who made successful offers are notified of acceptance and product shipment, and those buyers whose offers were not successful are notified of the result.
  • buyers may utilize an input feature to suggest products or product categories for which they have an interest in a co-op being created. Further information is gathered regarding the buyers preferences including acceptable price, and such person is then notified at the time his or her items are sold by co-op.
  • Other aspects of this function include a focal point or community for buyers to suggest and organize a wide variety of co-ops designed to suit their every need, including the ability to create sufficient demand to support purchases, the specific manufacture of particular products suggested by the various buyers, or the creation of broader interest groups around a category of products.
  • Figures 1 and 2 are simplified diagrammatic representations of prior art sales models, useful for understanding the present invention.
  • Figure 3 is a co ⁇ esponding simplified diagrammatic representation of a sales model in accordance with the invention.
  • Figure 4 is a block diagram of an mternetworked computer system for implementing the invention.
  • Figure 5 is a block diagram of software components for implementing the invention.
  • Figure 6 is a graph of a price curve useful for understanding operation of the invention.
  • Figure 7 is a more detailed block diagram of a portion of the software components in Figure 5 for implementing the invention.
  • Figure 8 is a flow chart illustrating operation of a prefe ⁇ ed form of a process in accordance with the invention.
  • Figure 9 is a graph including a price curve and other relationships useful for understanding operation of a price change and the price visibility window in accordance with the invention.
  • merchandising and yield management staff 20 defines a co-op in accordance with the invention using client computer 22 and client software 24, comprised of a set of tools, including but not limited to a pricing tool.
  • the tools 24 communicate with the server processes 26, including but not limited to the database process, to enter the data relevant to each co-op.
  • the consumer 28 accesses all aspects of the co-op using a client computer 30 running a browser 32 or some other type of client computer program.
  • the client computer program 32 communicates via some means of physical communication layer 34, e g. the Internet, with a server 36, i.e the HTTP server, or a server with similar purpose.
  • the HTTP server 36 further communicates, using public or prop ⁇ etary protocols, with an e-commerce server 38, which contains the p ⁇ ncipal software for implementing this invention.
  • the e-commerce server 38 software and related components is compnsed of a set of server processes 40, a means 42 of communication between the server processes 40, and a database 44 to hold data significant to the process of taking orders and otherwise interacting with the consumer 28.
  • the capabilities of the e-commerce server software and related components extend far beyond the ability to handle co-ops.
  • the present invention is directed to the capabilities that pertain to co-op management.
  • the other capabilities of the e-commerce server 38 software and related components are implemented with software modules and routines known in the art and will not be desc ⁇ bed beyond that necessary to understand the invention.
  • co-ops are p ⁇ ma ⁇ ly manifested by a set of database tables 50 that define the essential properties of the co-ops, a set of program subroutines 52 and server processes 54 and 56 defining the logical processing necessary to manage co-ops and their interaction with buyers, and data contained m the database tables 50 defining the values of the essential properties that define each co-op.
  • the merchandising staff being generally responsible for product offe ⁇ ngs, identifies the product to be featured in co-op at 100. They create a new co-op at 102 using a set of computer programs acting as their data entry tools. Numerous co-ops will be featured simultaneously at any given time Essential characte ⁇ stics of the coop in this prefe ⁇ ed implementation are: start time, end time, any minimum number of units offered, any maximum number of units available for sale, starting price, and product cost curve including a price curve visibility window.
  • the co-op receives further definition by having its price curve and price curve visibility window defined at 104 using the pricing tool.
  • the defined co-op is then made available at 106.
  • the co-op is modified at 108 using the pricing tool, so as to take into account the market data in the definition of the price curve.
  • the buyer accesses e-commerce server 38 ( Figure 4) at 110, and is presented a number of co-op choices at 112. How the navigation and presentation of general product information pertaining to the co-op is done is not essential to this invention and is done in a conventional manner known to those skilled in the art.
  • the buyer browses all product co-ops in order to choose a particular co-op of interest at 114.
  • the buyer is presented with the following essential co-op information: cu ⁇ ent price, closing time, next price level (as defined by the price curve visibility window and the price curve), sufficient for the buyer to determine the urgency of an offer.
  • the system acknowledges his offer at 120. 3.
  • the system authorizes his credit card for the maximum price specified in his offer.
  • the cu ⁇ ent price may be affected as defined by the price curve, and any new price is displayed. 5. If the offer is below what is deemed reasonable, the offer is still recorded, but it is disregarded from the pool of offers allowed to impact cu ⁇ ent price.
  • the reasonable range may be derived from the price curve or external merchandising factors.
  • the buyer makes a non-cancelable offer to purchase the featured product at the cu ⁇ ent price at 128.
  • Inventory is allocated to fulfill the order at 126 once the co-op closes at 124. 3.
  • the system acknowledges the offer, and indicates to the buyer that his offer is accepted at 130.
  • a co-op will only close if the required critical mass is met. Assuming critical mass is achieved, the steps taken upon closing of a co-op are as follows:
  • the final price is fixed and applied to all offers at or above the final price.
  • the quantity of messages sent by any one buyer, and his or her ability to alter text desc ⁇ bing the e-mail, may be limited
  • the buyer may be able to type a personal message to be included within the fixed text of the message
  • the buyer After identifying a specific product or a feature set common to several specific products, the buyer indicates to the system at 134 that he is interested in purchasing the product if it were to be offered at a low p ⁇ ce under a co-op 2 The buyer might further indicate what p ⁇ ce he considers to be fair for the product, the brands he finds acceptable in order of preference
  • the system accepts the suggestion at 136, and accumulation and organization of this data by product, feature set, brand, general product category, and/or any number of other c ⁇ teria to permit meaningful utilization of the data adds it to its database
  • the invention provides a method and apparatus to permit the quick and convenient formation of any number of special interest groups wherein membership c ⁇ tena can be defined in the manner most beneficial to the group For example, those showing an interest in digital cameras, by joining a specific digital camera co-op or otherwise, could be asked whether they'd like to join a special interest group compnsed of camera enthusiasts
  • membership c ⁇ tena can be defined in the manner most beneficial to the group For example, those showing an interest in digital cameras, by joining a specific digital camera co-op or otherwise, could be asked whether they'd like to join a special interest group compnsed of camera enthusiasts
  • the formation of such special interest groups is implemented as follows
  • Buyer or potential buyer expresses interest in a certain type of featured product through browsing such product or joining a co-op or otherwise 2 Buyer will be offered an opportunity to join one or more related special interest groups wherein he might be able to maximize access to related information of interest through global aggregation of similarly situated individuals
  • the system might notify all members of a given group via available communication means of information of interest, including any future co-op likely to be of interest to such group
  • the server systems are compnsed of the following hardware and software components
  • the server programs consist of
  • the apparatus is further comprised of a set of database tables 50, including, but not limited to:
  • PRODUCT ID The unique ID for the product being offered
  • MC_COOP_FINISH_DATETIME The date/time that the co-op is scheduled to close (might close early if sell all products)
  • MC_COOP_ORDER_QUANTITY_LIMIT The limit on the # of items that can be ordered by a single customer
  • MC_COOP_PRICING_SCHEME Defines whether price curve is line segments or step-wise
  • MC_COOP_COST_SCHEME Defines whether cost curve is line segment or step-wise
  • MC_COOP_IGNORE_SCHEME Defines whether ignore curve is line segments or step-wise
  • MC_COOP_WINDOW_PRICE Height of price window (used to encourage customers to notify their friends)
  • OID A unique identifier for the offer
  • MC_OFFER_USER_ID The unique identifier for the user who submitted the offer
  • Coop_ID The co-op identifier that this price curve point is relevant for.
  • Threshold_Quantity The quantity coordinate for the price curve point.
  • Threshold_Price The price coordinate for the price curve point.
  • the program logic of this invention consists of several components, shown in
  • Co-op display components 150 having the purpose of presenting information to the users via the HTTP servers and client browser software, and further interpreting the inputs of the users (merchandising staff as well as buyers) and translating those inputs into new presentation of information and/or manipulations of the data stored in the system.
  • the display components that are primarily relevant to this invention are:
  • MC Product List Display a list of products, showing co-op information
  • Co-op offer & checkout Accept an offer from the user E-mail a friend Encourage participants to add to the co-op by sending e-mail to the friends
  • the product list and product details modules show the co-op product descnption, p ⁇ ce (with an animated image in the background to show that the p ⁇ ce may fall even further), product features, etc
  • the co-op offer & checkout accepts an offer from a customer regardless of whether the offer is at the cu ⁇ ent p ⁇ ce or at some lower p ⁇ ce We take the customer's name, e-mail address, shipping destination, credit card information, and the amount of the offer We also show some legal text which informs the customer that this offer is binding and may be converted to a real order if the co-op pnce meets their offer amount, etc
  • Data access components 26 having the purpose of translating database information into data that can be used to display information to buyers These components are also responsible for updating information m the database based on interactions with the users via the vanous clients 24 and 32, HTTP servers 36, and co- op display components 150
  • the data access components 26 that are p ⁇ manly relevant to this invention include, but are not limited to
  • Manipulation actions include changing the cu ⁇ ent p ⁇ ce, adding offers at or below the cu ⁇ ent p ⁇ ce, modifying the pnce curve and the p ⁇ ce curve visibility window
  • *MCI_Co-opManager responsible for information regarding, and manipulation of, sets of co-ops This manipulation includes finding co-ops with certain characte ⁇ stics, creating new co-ops, and deleting co-ops that already exist

Abstract

An online buying group (referred to herein as a "co-op") is formed for the specific purpose of purchasing a particular product at (102) by defining a start time, end time, critical mass, any minimum number of units offered, any maximum number of units offered, starting price and product cost curve. As data is gathered from buyers, by means of their making binding purchase offers, the co-op is modified at (108) using a pricing tool, so as to take into account for this market data in the definition of the price curve. A buyer chooses a product co-op of interest at (114). The buyer is presented with the following essential co-op information: current price, closing time, next price level (as defined by a price curve visibility window and the price curve) sufficient to entice the buyer to make an offer. Once a buyer has made up his mind, the decision must be made at (116) to offer a purchase price which includes the current price, guaranteeing availability if critical mass has been achieved, or to make an offer at a lower price range that can be accepted only if the co-op price drops to that level, which may not occur. Given a decision to make an offer at such lower price, the buyer enters such maximum price at which he is willing to purchase to product at (118). Should the current price drop to the level at which the offer was made, the price contingency is removed from such offer and assuming critical mass is achieved, the offer is accepted at at the close of the co-op at (122), and processed accordingly. Inventory is allocated to fulfill the accepted offer at (126) following the closing of the co-op at (124).

Description

DEMAND AGGREGATION THROUGH ONLINE BUYING GROUPS
BACKGROUND OF THE INVENTION
1. Field of the Invention.
The present invention relates to demand aggregation for goods and services and the computerized operation of global buying groups conducted over electronic networks such as the Internet.
2. Introduction to the Invention.
This invention provides a method and apparatus to globally locate, encourage and enable all buyers wishing to purchase a particular product or service within a given time frame to join forces in a buying group ("co-op") formed specifically to accomplish the desired purchase. The co-op will enable individual buyers to leverage their combined purchasing power to achieve an economic bargain far superior to that attainable by any one buyer acting alone. This superior bargain most often will be reflected in terms of a lower price.
The invention also provides a method and apparatus that allows each buyer an opportunity to increase the volume of any given co-op in order to further increase group buying power within a co-op. It also includes a mechanism through which buyers can form any number of special interest groups, provide their collective wisdom to dictate which products are featured in future co-ops, or even make a market for a given product or service. Other key aspects of the invention include a means to allow unprecedented access to certain market and pricing information derived from co-op member input during the life of each co-op. For example, all buyers wishing to join a co-op must submit a binding offer guaranteeing their willingness to purchase the featured item at or below some maximum price determined by each individual member. This collection of purchase offers provides valuable quantitative data regarding price sensitivity for the featured item. In addition, it permits real time yield management decisions that often will benefit both buyers and suppliers. Specifically, the invention provides data from which a supplier can be informed that if the product price is reduced by a specified amount, the co-op's pool of accepted offers - i.e., final sales - will increase by a specific quantity. The guaranteed increase in volume due to a reduced price would improve its overall yield. Under this scenario, both the co-op buyers and the product supplier benefit from the indicated price reduction.
Other ways in which this invention provides unique benefits to buyers and suppliers of goods and services in electronic commerce are set forth in various parts of this document below.
3. Background. (Prior art)
(Buyer problems to be solved by the invention) The vast majority of retail methods of commerce do not permit any give and take between buyer and seller regarding terms of purchase. Instead they employ a seller-controlled format whereby the seller determines which items are to be offered for sale, when each item will be offered for sale, and the non-negotiable fixed price at which each item will be sold. Traditional stores (including most on-line stores), catalog sales, telemarketing sales, and classified ads all represent examples of this prevalent seller-controlled sales environment.
While the auction sales format permits buyer interaction, it too vests most of the bargaining power in the seller by permitting him or her to select the item to be sold and the time at which it will be offered for sale. Auctions also typically permit the seller to specify a minimum price at which the item may be sold. Moreover, the auction model further deteriorates the power of each individual buyer by pitting him or her against similarly situated buyers, all competing to pay the highest price for the item.
Historically, individual buyers have sought to achieve collective buying power, among other things, by joining a traditional, true "co-op" - i.e., an organization that is actually owned by and operated for the benefit of those using its services. Such organizations usually are comprised of individual members with common business, occupational, or recreational interests. Members of these true coops pay annual membership fees (typically sufficient to cover the operating costs of the co-op entity) for the privileges of membership, which often include access to information, products and services related to the co-op's defined purpose.
Traditional buying co-ops (including those emerging on the Internet up to the date of this invention) have been organized around a common set of interests much broader than a particular product (e.g., a digital camera), or even a narrowly defined product category (e.g., cameras). As a result, the extent to which they can aggregate demand for any given product or service is limited by the organization's defined membership base and topical focus. Historically, this breadth of member commonality was required. Otherwise, the benefits achieved through the co-op would be vastly outweighed by the amount of time, money and energy expended to join and maintain the membership.
At the time of this invention, buying groups organized globally on a purchase by purchase basis do not exist. In addition, there is no single mechanism through which people can quickly and conveniently create or join any special interest group of their choosing for purchasing products through a global electronic network such as the Internet.
(Supplier problems to be solved by the invention)
Traditionally, market data regarding the price buyers are willing to pay for a given product or service has been derived primarily from actual sales data. These estimates fail to capture data regarding instances in which sales were rejected by those deciding not to buy the given product. Obviously, the universe of buyers seriously considering purchasing a new flat screen TV includes not only those who will decide to purchase the item, but any number of people who will conclude the current unilaterally fixed price for the item is too high. Under traditional sales models, there is no practical way to capture the number of potential buyers who rejected the sale based on price. Moreover, there is no way to capture the actual price point at which the potential buyer would have purchased the item. If an invention were to permit access to this data globally for a large pool of potential buyers, the invention would be extremely valuable to suppliers of goods and services in that it would permit better pricing, yield management and marketing decisions.
Further, historically there has been no way for a supplier to predict with certainty the price at which a product must be sold in order to increase sales volume by a specified amount. Under traditional sales models, pricing decisions are made based on estimates, such as anticipated product demand and presumed price sensitivity, in the hope that supply will approximate demand at the selected price. If a supplier of a particular item could rely on guaranteed purchase offers to increase volume at varying levels of acceptable sales prices, such information would be extremely valuable to the supplier. Among other things, it would permit instantaneous, accurate yield management decisions that often would encourage win- win price reductions. The supplier wins by improving his overall yield based on volume, and the buyer wins by getting a lower per unit price.
Further, existing sales models do not offer suppliers a clearly superior means of quickly reducing large quantities of specific product inventory (such as a close out item) in a way that will permit both maximization of yield and fast movement of an extremely large quantity of product. Similarly, there exists no clearly superior sales channel through which a supplier can readily turn to swiftly create an extremely large, global market for a specific product such that the supplier's market share for that product literally could substantially increase overnight. Finally, access to the larger interest groups enabled by this invention present a superior forum for marketing and testing products and services of interest to the membership of a given group. Such activities may be limited to those which are deemed by any given group to be of mutual beneficial to both individual group members and the suppliers of goods and services of interest to such group. Specific examples of e-commerce systems implemented on the Internet or other networks are disclosed in the following issued patents: U.S. Patent 4,789,928, issued December 6, 1988 to Fujisaki; U.S. Patent 5,794,207, issued August 11, 1998 to Walker et al.; U.S. Patent 5,797,127, issued August 18, 1998 to Walker et al.; U.S. Patent 5,835,896, issued November 10, 1998 to Fisher et al. and U.S. Patent 5,845,265, issued December 1, 1998 to Woolston.
4. Benefits of the invention. (Buyers)
The traditional shopping experience - buying goods at stores and malls (whether on line or brick and mortar) - was designed by sellers with the primary purpose of promoting commerce for themselves. Not surprisingly, this prevalent sales model gives the seller virtually all of the power and control associated with a given sales transaction. This invention creates a new shopping experience by essentially reversing certain aspects of the traditional seller-oriented sales model. The result is a far more empowering shopping experience for the buyer.
As shown in Figure 1, a store 10 is simply a collection of products 12. As shown in Figure 2, a mall 14, of course, is a collection of stores 10. Historically, buyers 16 have had to come to the seller's pre-selected and pre-priced collection of products 12 in order to make a purchase. This invention, represented in Figure 3, turns the point of sale into a collection of buyers 16 (the "co-op"), rather than products 12. It further permits these co-ops to be located among any number of other co-ops at an Internet or other network site provided by a business entity implementing the invention. This fundamental shift in structure provides many advantages each discussed in detail below.
By creating a means to globally aggregate a large number of buyers in one place at one time (a co-op), this invention enables a tremendous shift in power from the seller of goods and services to the buyer of goods and services. Rather than permitting the product seller to establish the product's sales price, it permits each buyer to establish a maximum price at which he or she will purchase the product. (Notwithstanding this specification of a maximum acceptable price, all co-op members enjoy the full measure of price reductions achieved through the co-op. Hence, each member's offer will be accepted at the co-op's lowest —i.e., the ending ~ price.) Co-op members are further empowered by certain other features of the invention. Specifically, after joining a given co-op each member will be given an opportunity to drive volume to further reduce prices by e-mailing people he or she knows who might be interested in joining the co-op. In this way, every member can help the co-op attain its critical mass (which guarantees the success of the co-op) and surplus volume (which serves to drive prices below previously anticipated levels). In addition, the invention permits buyers to help choose which products and brands will be featured in future co-ops. Through this feature, buyers also can actually create a market for a particular product. For example, this input feature would permit a general query regarding whether there is sufficient buyer interest for a particular style of wristwatch (in which one or more buyers had previously inquired). If sufficient demand for the item exists, a business entity implementing the invention could then seek out a jewelry manufacturer willing to make a large volume of the watches and then offer such items to those who expressed interest and potentially others in a future co-op. The invention's method presents a buying model far superior (from the standpoint of the buyer) to that of the auction sales model. Rather than providing a method by which numerous buyers compete against one another to be the "winner" at the highest price, this method enables buyers to join forces to achieve a lower price at which they all "win." Further, the invention provides an effective method for focused aggregation of purchasing power (1 e., all people currently w ll ng and able to purchase a featured product without regard to their geographic location, profession, or any conflicting or specific personal interests of the individual buyers withm the group) This method of aggregation will generate far greater participation and purchasing power than any traditional co-op To illustrate this point, consider a typical "small business" co-op It likely would generate some demand for a particular premium brand computer pπnter However, it normally would be limited in its geographic reach And even if the co-op were operated globally via the internet, its demand would not encompass all people using the internet who might be interested m buying that particular pπnter. It would include only small business owners (or more likely owners of a particular type of small business) The ability to quickly, conveniently and economically form narrowly defined co-ops is a cπtical aspect of this invention which is made possible by the technology composing this invention when coupled with a global electronic network such as the Internet.
The method and apparatus of this invention further provides a means through which individual buyers can aggregate on the basis of broader interest groups for any purpose including access to the latest product and other information of interest to the group. (Benefits to suppliers)
In order to join a co-op, each buyer must determine the maximum pπce at which (or below) he or she is willing to purchase the featured item Such amount is specified in his or her binding purchase offer That offer is guaranteed by the buyer's credit card. All offers including the vaπous amounts at which they are submitted are collected and summaπzed in a database This process enables accurate, real-time yield management decisions which can be used to advocate a lower per unit pπce For example, the business entity implementing the invention would be able to represent to a supplier that if the pπce were lowered by $X, the sales volume will increase by an additional 1,000 units. Although the per unit pπce would drop, the supplier's overall profit yield may increase due to the substantial increase m volume Hence, this invention eliminates the uncertainty that often makes suppliers reluctant to lower pπces
In addition, the pπcmg data descπbed above represents an extraordmaπly complete picture of the pπce sensitivity with respect to a given product because it captures not only actual sales data, but also price specific data on potential sales that were not completed because of price. Further, this invention enables the feasible collection of various other types of market data such as geographic distribution and other characteristics of the buyers interested in a given product. In addition, it enables a superior way to gauge interest in future products and services.
Further, this invention's method of globally creating buying groups on a purchase by purchase basis brings a vast number of potential buyers to the bargaining table. Consequently, it provides a superior method of quickly moving large quantities of specific products. This will be useful to product suppliers in many ways. For example, a supplier might utilize the invention's sales platform to sell a substantial volume of one product for the specific purpose of increasing its market share. It even would be possible under this example for the supplier to specify a minimum sales volume so that no sales are made unless its market share objectives are met. In addition, a supplier could utilize this invention as a platform for unloading a large volume of specific products nearing the end of their product life cycle. Suppliers might also utilize this invention as a means to accomplish swift inventory leveling for cash flow or financial reporting purposes. While there are existing channels through which suppliers can sell closeout products or accomplish inventory leveling, none provide the ability to quickly move a substantial volume of inventory while still maximizing profit yield in the manner described above.
Finally, membership of any given broader special interest groups that can be created through this invention (e.g., camera enthusiasts) might epitomize the target customer for a particular product or service of a supplier. Possible ready access to such group, as possibly limited by each group membership, could be extremely valuable to suppliers for general marketing, product testing, and other purposes.
Definitions
Certain terms as used herein are defined as follows: Browser: A specific type of client system, referring to an HTTP client enabling the display of various forms of information originating at the server; also capable of sending information, such as requests and personal data, to the server at the request of the end user. A browser is not the only possible or intended client system. Our method and apparatus apply only to the server, and are not dependent on what form of client is used, only that some client exists as the means of input.
Co-op: For the purposes of this application, the term 'co-op' as used throughout is not intended to refer to the traditional cooperative form of business which is owned by all of its members. A business organization implementing this invention need not be organized as a cooperative. Instead, we use the term 'co-op' to refer to the online manifestation of buying groups who have committed to purchase a certain product within a specified price (i.e., at or below a maximum price). Co-ops are also occasionally refeπed to herein as 'buying groups,' 'buying co-ops' and 'product co-ops. '
Critical Mass: The volume of acceptable offers necessary before any purchase offers will be accepted. The critical mass may be specified by a supplier. It may also be the sales volume at which the starting co-op price is justified.
Cuπent Price: The price stated as current at any given time during the co-op. One significance of the current price is that availability is guaranteed for offers at or above such price after critical mass is achieved.
E-commerce server: Is here used to refer to a specific server software system, residing on a set of CPUs, that is used to send information to the client system(s) and accepting input from said clients for the sole purpose of taking orders, whether they are for co-ops or not.
Ending Price: The price specified at the end of the co-op, which represents the price at which all offers are accepted.
Featured Product: Any product or product variant identified for sale through a co-op. For purposes of this application, the term 'featured product' includes any services which might be identified for sale through a co-op.
HTTP: The Hyper-Text Transfer Protocol.
HTTP server: A specific server software system, residing on a set of CPUs, which is used to communicate with client systems such as HTTP browsers. The HTTP server is only one means of communication between the client and server, and its inclusion in this discussion of our invention is not meant to imply that it is the only means of implementation of the invention.
Offer or Purchase Offer: A binding, non-cancelable offer to purchase a featured product within a price range the maximum of which is specified by the buyer. Each such offer is guaranteed by the respective buyer's credit card at the time it is offered. Making an offer is a condition precedent to joining a co-op. The offer is either accepted or rejected at the close of the co-op.
Price Curve: A description of price as a function, in the mathematical sense, of the number of units. See Figure 6. Product and Product Variant: A product is a set of items for sale, which all has a certain set of significant characteristics in common. For example, a particular brand and style of in-line skates, each having the same characteristics, such as design, brand, color, a left and a right skate sold together, etc. A product variant is a subset of a product. For example, size 5 and size 8 of a particular pair of in-line skates are different variants of the same product. As used herein, a product can be a tangible or intangible object or a service.
Server: The term 'server' is here used to refer to the set of hardware and software systems that are used to implement co-ops in accordance with this invention. These systems are to be distinguished from the client systems that are used by buyers to participate in co-ops. See Figures 4 and 5.
Server process: A computer program that is part of the server software systems, and which executes in its own address space, communicating with other processes via means defined by the operating system(s) of the hardware platforms. Unfortunately, it is necessary to use the term 'process' to describe other things than computer programs executing in their own address space in this application, so care has been taken to always use the term 'server process' when the latter is meant.
Starting Price: The price listed as the current price at the beginning of each co-op.
SUMMARY OF THE INVENTION
In accordance with a first aspect of the invention, a system for an on-line buying co-op includes an e-commerce server data processing system. The e- commerce server data processing system has e-commerce server software executable on the e-commerce server data processing system. The e-commerce server software is configured to define a buying co-op for a product by specifying the product for the co-op, a time interval within which members can join the co-op, the point at which critical mass is reached, any minimum or maximum quantity of the product available through the co-op, and one or more price curves for the featured product. The e- commerce server software is further configured to accept inputs from buyers to take orders for the product. A buyer client data processing system is coupled to the e- commerce server data processing system. The buyer client data processing system includes first client software executable on the buyer client data processing system. The first client software is configured to receive data from said e-commerce data processing system describing the buying co-op for the product, to display the data describing the buyer's co-op for the product on the buyer client data processing system, to receive buyer order inputs for the product and to transmit buyer order inputs for the product to the e-commerce server data processing system.
In a second aspect of the invention, an e-commerce server data processing system for implementing a buying co-op has e-commerce server software executable on the e-commerce server data processing system. The e-commerce server software is configured to define a buying co-op for a product by specifying the product for the co-op, a time interval during which the co-op is available, the point at which critical mass is reached, any minimum or maximum quantity of the product available through the co-op, and one or more price curves for the featured product. The e-commerce server software is further configured to accept inputs from buyers in the form of binding purchase offers to purchase the featured product.
In a third aspect of the invention a process for operating an on-line buying coop includes defining a buying co-op for a product at an e-commerce server data processing system by specifying the product for the co-op, a time interval during which the co-op is available, any minimum or maximum quantity of the product available through the co-op, and one or more price curves for the featured product. Data describing the buying co-op for the product is transmitted from the e-commerce data processing system to a buyer's data processing system. The data describing the buyer's co-op for the product is displayed on the buyer's data processing system. A buyer order input for the product is received on the buyer's data processing system. A buyer order input for the product is transmitted from the buyer's data processing system to the e-commerce server data processing system. The buyer order input is accepted in the e-commerce data processing system to record a purchase offer for the product.
In a fourth aspect of the invention, a process for defining an on-line buying coop for a product in an e-commerce server data processing system includes specifying the product for the co-op. A time interval is specified during which the co-op is available. The point at which critical mass is reached is specified, which is usually a minimum quantity of the product specified either by a supplier or by the entity implementing the invention for a given pπce Any maximum quantity of the product available through the co-op is specified One or more pπce curves are defined for the product available through the co-op In a fifth aspect of the invention, an article of manufacture compπses a computer readable storage medium having stored therein a computer program for operating vaπous product co-ops simultaneously. The computer program includes a first code segment for defining a buying co-op for a product at an e-commerce server data processing system by specifying the product for the co-op, a time interval duπng which the co-op is available, the point at which cπtical mass is reached, usually a minimum quantity of the product for a given pπce, established as above, any maximum quantity of the product available through the co-op, and one or more pπce curves for the featured product. A second code segment is for transmitting data descπbing the buying co-op for the product from the e-commerce data processing system to a buyer's data processing system. A third code segment is for receiving purchase offer input in the e-commerce data processing system to record an offer for the product.
In a sixth aspect of the invention, an article of manufacture compπses a computer readable storage medium having stored therein a computer program for defining an on-line buying co-op. The computer program includes a first code segment which, when executed m a computer, specifies the product for the co-op. A second code segment, when executed in the computer, specifies a time interval for which the co-op is available. A third code segment, when executed in the computer, specifies any minimum or maximum quantity of the product available through the co- op. A fourth code segment, when executed in the computer, defines one or more pπce curves for the product available through the co-op. Introductory Descπption of the Method
A co-op for a gπ en product or product vaπant is defined by placing onto the e-commerce server a set of data descπbmg the co-op in terms of its pπce curve(s), the featured product, the time interval duπng which the co-op is available, the point at which cπtical mass is reached, and the minimum and maximum quantities available Some of these defining properties of a co-op may not be revealed to the buyer
When the co-op is
Figure imgf000014_0001
ailable, buyers enter their offers into the co-op, indicating a maximum pπce at which they will commit to purchase the featured item This may be at the current pπce, or it may be below the current pπce Once the current pπce is justified by the volume of co-op offers, all offers withm a specified reasonable range below the cuπent pπce w ill tπgger a new, lower cuπent pπce for the product
Once the co-op is successful m achieving cπtical mass, offers at the cuπent pπce guarantee availability of the number of items of the product or product vaπant specified m the offer, provided that number does not exceed the difference between the current number of similarly committed units and any maximum number of units available Note that the starting pπce will be established when the co-op is announced, before any offers have been submitted based on the pπce curve and/or other merchandising data Such starting pπce frequently will be based on a minimum number of units that must be ordered for the co-op to qualify for that pπce
A further contingency may be placed on a buyer's offer based on pπce Specifically, should any given buyer indicate that he does not find the cuπent pπce acceptable, but nevertheless wishes to buy it at a lower pπce, his offer is made contingent upon the co-op reaching the lower pπce However, should his offer be deemed to fall withm reasonable range of the cuπent pπce, as defined separately for each co-op, it may be considered part of the market dynamics around the product offered in the co-op As such, it may reduce the pπce of the co-op As more offers are made, and the cuπent pπce drops to a level at or below the contingent pπce specified, the contingency based on pπce is removed Offers may be increased up to the cuπent pπce any time duπng the co-op should buyers wish to improve their chance of success or ensure availability of the item However, offers may not be cancelled nor may buyers reduce their offered pπce
Regardless of the maximum pπce specified within each purchase offer, all members of the co-op get the benefit of the lowest final pπce In addition to seeing the cuπent price go down, the buyers may also be given an indication of how many more participants it would take to get the price down to a specified amount, or potentially the number of acceptable offers necessary to reach critical mass. While every offer might affect the price by small decrements, the price reductions that are sufficiently compelling to encourage buyers to refer others to the co-op might be much greater and will vary from co-op to c-op. Therefore, a co-op is further defined by the 'price curve visibility window,' which is the difference in price that is deemed interesting to a buyer of a given product. The visibility window is in essence the granularity at which the actual price curve is displayed to buyers. Merchandising and yield management personnel will define each co-op by means of data entry. Such data entry is not limited to time prior to the opening of a co-op. The definition of a co-op, including its price curve, is subject to modification during its lifetime. In fact, the ability to modify the co-op definition based on data gathered from offers to participate in a co-op is an essential aspect of the invention. Once a buyer joins a particular co-op, he or she will be permitted to initiate e- mail messages designed to increase buyer volume, thereby further reducing the price available to all. The recipient of such e-mail will be directed back to the specific coop by either a reply function or a link within the e-mail message. If he or she joins, he or she can then send messages to his or her friends and so on. Once a co-op is closed, either because the prescribed time limit is met, or any maximum number of available items is sold, all offers at or above the closing price are accepted and final sales information is communicated to other server processes, which handle the orders' fulfillment via traditional means of hard and digital goods transportation. Buyers who made successful offers are notified of acceptance and product shipment, and those buyers whose offers were not successful are notified of the result.
In addition to participating in co-ops, buyers may utilize an input feature to suggest products or product categories for which they have an interest in a co-op being created. Further information is gathered regarding the buyers preferences including acceptable price, and such person is then notified at the time his or her items are sold by co-op. Other aspects of this function include a focal point or community for buyers to suggest and organize a wide variety of co-ops designed to suit their every need, including the ability to create sufficient demand to support purchases, the specific manufacture of particular products suggested by the various buyers, or the creation of broader interest groups around a category of products.
The attainment of the foregoing and related advantages and features of the invention should be more readily apparent to those skilled in the art, after review of the following more detailed description of the invention, taken together with the drawings, in which:
BRIEF DESCRIPTION OF THE DRAWINGS Figures 1 and 2 are simplified diagrammatic representations of prior art sales models, useful for understanding the present invention.
Figure 3 is a coπesponding simplified diagrammatic representation of a sales model in accordance with the invention.
Figure 4 is a block diagram of an mternetworked computer system for implementing the invention. Figure 5 is a block diagram of software components for implementing the invention. Figure 6 is a graph of a price curve useful for understanding operation of the invention.
Figure 7 is a more detailed block diagram of a portion of the software components in Figure 5 for implementing the invention. Figure 8 is a flow chart illustrating operation of a prefeπed form of a process in accordance with the invention.
Figure 9 is a graph including a price curve and other relationships useful for understanding operation of a price change and the price visibility window in accordance with the invention.
DESCRIPTION OF SPECIFIC EMBODIMENTS The drawings show preferred forms of a system, process and pricing component suitable for implementing the invention.
Introductory Description of the Apparatus
As shown in Figures 4 and 5, merchandising and yield management staff 20 defines a co-op in accordance with the invention using client computer 22 and client software 24, comprised of a set of tools, including but not limited to a pricing tool.
The tools 24 communicate with the server processes 26, including but not limited to the database process, to enter the data relevant to each co-op. The consumer 28 accesses all aspects of the co-op using a client computer 30 running a browser 32 or some other type of client computer program. The client computer program 32 communicates via some means of physical communication layer 34, e g. the Internet, with a server 36, i.e the HTTP server, or a server with similar purpose. The HTTP server 36 further communicates, using public or propπetary protocols, with an e-commerce server 38, which contains the pπncipal software for implementing this invention.
The e-commerce server 38 software and related components is compnsed of a set of server processes 40, a means 42 of communication between the server processes 40, and a database 44 to hold data significant to the process of taking orders and otherwise interacting with the consumer 28. The capabilities of the e-commerce server software and related components extend far beyond the ability to handle co-ops. The present invention is directed to the capabilities that pertain to co-op management. The other capabilities of the e-commerce server 38 software and related components are implemented with software modules and routines known in the art and will not be descπbed beyond that necessary to understand the invention.
As shown in Figure 7, co-ops are pπmaπly manifested by a set of database tables 50 that define the essential properties of the co-ops, a set of program subroutines 52 and server processes 54 and 56 defining the logical processing necessary to manage co-ops and their interaction with buyers, and data contained m the database tables 50 defining the values of the essential properties that define each co-op.
Detailed Descπption of the Method Figure 8 shows a flow diagram of a preferred form of a process in accordance with the invention. Co-op Definition
The steps of the definition of a co-op are as follows
1 The merchandising staff, being generally responsible for product offeπngs, identifies the product to be featured in co-op at 100. They create a new co-op at 102 using a set of computer programs acting as their data entry tools. Numerous co-ops will be featured simultaneously at any given time Essential characteπstics of the coop in this prefeπed implementation are: start time, end time, any minimum number of units offered, any maximum number of units available for sale, starting price, and product cost curve including a price curve visibility window.
2. The co-op receives further definition by having its price curve and price curve visibility window defined at 104 using the pricing tool. The defined co-op is then made available at 106.
3. As data is gathered from buyers, by means of their making offers, the co-op is modified at 108 using the pricing tool, so as to take into account the market data in the definition of the price curve.
Co-op Selection
The steps comprising a buyer's selection of a co-op in which to participate, are as follows:
1. The buyer accesses e-commerce server 38 (Figure 4) at 110, and is presented a number of co-op choices at 112. How the navigation and presentation of general product information pertaining to the co-op is done is not essential to this invention and is done in a conventional manner known to those skilled in the art. The buyer browses all product co-ops in order to choose a particular co-op of interest at 114.
2. The buyer is presented with the following essential co-op information: cuπent price, closing time, next price level (as defined by the price curve visibility window and the price curve), sufficient for the buyer to determine the urgency of an offer.
Offers below Cuπent Price Once a buyer has made up his mind to join a co-op, the decision must be made at 116 to accept the cuπent price, guaranteeing availability once critical mass is achieved, or to make an offer contingent on a lower price range, which may not result in a successful purchase regardless of whether critical mass is achieved. Given the decision to make an offer, the steps are as follows: 1. The buyer enters an offer which specific the price at which he is willing to purchase the product, his credit card number and any other pertinent information at 118.
2. The system acknowledges his offer at 120. 3. The system authorizes his credit card for the maximum price specified in his offer.
4. If the offer is within the range that is deemed reasonable, the cuπent price may be affected as defined by the price curve, and any new price is displayed. 5. If the offer is below what is deemed reasonable, the offer is still recorded, but it is disregarded from the pool of offers allowed to impact cuπent price. The reasonable range may be derived from the price curve or external merchandising factors.
6. Should the cuπent price drop to the level at or below which the offer was made at, such offer is included within the pool of offers to be accepted at close of the co-op at 122 and processed as such. Inventory is allocated to fulfill the order at 126 once the co-op closes at 124.
Offers at Cuπent Price Given the decision to make an offer at the co-op cuπent price, the steps are as follows:
1. The buyer makes a non-cancelable offer to purchase the featured product at the cuπent price at 128.
2. Inventory is allocated to fulfill the order at 126 once the co-op closes at 124. 3. The system acknowledges the offer, and indicates to the buyer that his offer is accepted at 130.
Co-op Close
A co-op will only close if the required critical mass is met. Assuming critical mass is achieved, the steps taken upon closing of a co-op are as follows:
1. The final price is fixed and applied to all offers at or above the final price.
2. All offers meeting the criteria above are accepted and converted to final sales by the e-commerce server, which are then communicated to product supplier and/or a fulfillment representative, which ships the products and charges the buyer's account.
3. All buyers that made successful offers are notified of the success thereof, and notified of the final price.
4. The buyers that made unsuccessful bids are likewise notified of the situation at 132. Volume Building Communication Feature
Upon enteπng a co-op, buyers will be allowed an opportunity to e-mail friends and acquaintances to tell them about the extraordinary deal being offer m the co-op Buyers help themselves to this feature, which is compnsed of the following steps
1 The buyer clicks on specific icon and is asked to supply certain information including the e-mail address of each addressee The quantity of messages sent by any one buyer, and his or her ability to alter text descπbing the e-mail, may be limited
2 The buyer may be able to type a personal message to be included within the fixed text of the message
3 When the buyer indicates his desire to send each message, they are transmitted to the addresses indicated
4 Such messages will provide direct access to the co-op page in question either through a reply function, or via a link in its text
Buyer Suggestions
At any time a potential buyers may utilize a process of suggesting specific products, brands or product categones to be offered in future co-ops Such individual might also specify acceptable pπces at which he or she would be willing to buy the suggested featured product, as well as a wide vaπety of other data This feature is compnsed of the following steps
1 After identifying a specific product or a feature set common to several specific products, the buyer indicates to the system at 134 that he is interested in purchasing the product if it were to be offered at a low pπce under a co-op 2 The buyer might further indicate what pπce he considers to be fair for the product, the brands he finds acceptable in order of preference
3 The system accepts the suggestion at 136, and accumulation and organization of this data by product, feature set, brand, general product category, and/or any number of other cπteria to permit meaningful utilization of the data adds it to its database
4 If and when this data reveals interest sufficient to establish a co-op, the system then notifies the interested buyers via available communication means that the co-op is about to be established
II The invention provides a method and apparatus to permit the quick and convenient formation of any number of special interest groups wherein membership cπtena can be defined in the manner most beneficial to the group For example, those showing an interest in digital cameras, by joining a specific digital camera co-op or otherwise, could be asked whether they'd like to join a special interest group compnsed of camera enthusiasts The formation of such special interest groups is implemented as follows
1 Buyer or potential buyer expresses interest in a certain type of featured product through browsing such product or joining a co-op or otherwise 2 Buyer will be offered an opportunity to join one or more related special interest groups wherein he might be able to maximize access to related information of interest through global aggregation of similarly situated individuals
3 Buyer elects to join one or more such groups
4 The system might notify all members of a given group via available communication means of information of interest, including any future co-op likely to be of interest to such group
Detailed Descπption of the Apparatus
The apparatus and software for practicing the prefeπed implementation of the invention is shown in Figures 4,5 and 7 Servers
The server systems are compnsed of the following hardware and software components
* A set of computers 36, 38 and 140, having the standard definition of a computer system
* A set of server programs, configured to execute on said set of computers The server programs consist of
1 A set of database servers 56 holding the database tables and their data
2 A set of e-commerce servers 54 that hold the executable commerce-related logic, interacting with the client via
3 A set of HTTP servers 36, or other such servers with similar purpose, namely being dedicated to being the communication link between the client 32 and the e-commerce servers 54 Database Tables
The apparatus is further comprised of a set of database tables 50, including, but not limited to:
* MC_COOP - defining the co-op in detail, including, but not limited to, these fields:
PRODUCT ID The unique ID for the product being offered
MC_COOP_START_DATETIME The date/time that the co-op is scheduled to open
MC_COOP_FINISH_DATETIME The date/time that the co-op is scheduled to close (might close early if sell all products)
MC_COOP_MINIMUM_QUANTITY The minimum quantity that we must sell
MC_COOP_MAXIMUM_QUANTITY The maximum quantity that we can sell
MC_COOP_ORDER_QUANTITY_LIMIT The limit on the # of items that can be ordered by a single customer
MC_COOP_BID_REJECT_THRESHOLD Price limit: below this price an offer is not considered "reasonable"
MC_COOP_PRICING_SCHEME Defines whether price curve is line segments or step-wise
MC_COOP_COST_SCHEME Defines whether cost curve is line segment or step-wise
MC_COOP_IGNORE_SCHEME Defines whether ignore curve is line segments or step-wise
MC_COOP_STATUS Overall status (not yet started, etc.)
MC_COOP_WINDOW_PRICE Height of price window (used to encourage customers to notify their friends)
MC_COOP_CURRENT_PRICE The cuπent price for the co-op item (by definition, some point on the price curve)
* MC_OFFER — defining the offers that have been made for a co-op, including, but not limited to, these fields:
OID A unique identifier for the offer
MC_COOP_OID The unique identifier for the co-op
MC_OFFER_USER_ID The unique identifier for the user who submitted the offer
MC_OFFER_DATETIME The date/time the offer was submitted (early offers get priority)
MC_OFFER_PRICE The pπce that was offered
MC_OFFER_QUANTITY The quantity that was requested
MC_OFFER_SHOWN_PRICE The cuπent c-op price at the time the offer was made (to calculate savings)
MC_OFFER_MERCATAJ3UCKS_EARNED Part of the loyalty management program ■ MC_OFFER_SHIPPING_ALIAS Identifies shipping destination (needed if offer becomes a real order)
■ MC_OFFER_PAYMENT_ALIAS Identifies payment method (needed if offer becomes a real order)
A set of price curve tables, all with the same fields.
* MC_COOP_PRICE_CURVE Defines the co-90 price curve (or steps)
* MC_COOP_IGNORE_CURVE Defines the co-op ignore curve (a
"throttle" on the speed of the co-op) * MC_COOP_COST_CURVE Defining the points of the price curve for the co-op, including, but not limited to, these fields:
1. Coop_ID: The co-op identifier that this price curve point is relevant for.
2. Threshold_Quantity: The quantity coordinate for the price curve point.
3. Threshold_Price: The price coordinate for the price curve point.
• MC_COOP_WISHLIST — defining the individual suggestions for new co-ops that have been made by various buyers.
Program Logic
The program logic of this invention consists of several components, shown in
Figure 5, all residing within the e-commerce servers 54. They include, but are not limited to: 1. Co-op display components 150, having the purpose of presenting information to the users via the HTTP servers and client browser software, and further interpreting the inputs of the users (merchandising staff as well as buyers) and translating those inputs into new presentation of information and/or manipulations of the data stored in the system. The display components that are primarily relevant to this invention are:
MC Product List Display a list of products, showing co-op information
MC Product Details Display a single product, showing co-op information
Co-op offer & checkout Accept an offer from the user E-mail a friend Encourage participants to add to the co-op by sending e-mail to the friends The product list and product details modules show the co-op product descnption, pπce (with an animated image in the background to show that the pπce may fall even further), product features, etc The co-op offer & checkout accepts an offer from a customer regardless of whether the offer is at the cuπent pπce or at some lower pπce We take the customer's name, e-mail address, shipping destination, credit card information, and the amount of the offer We also show some legal text which informs the customer that this offer is binding and may be converted to a real order if the co-op pnce meets their offer amount, etc
2 Data access components 26, having the purpose of translating database information into data that can be used to display information to buyers These components are also responsible for updating information m the database based on interactions with the users via the vanous clients 24 and 32, HTTP servers 36, and co- op display components 150
The data access components 26 that are pπmanly relevant to this invention include, but are not limited to
* MCI_Co-op, responsible for providing information regarding, and manipulation of, individual co-ops Manipulation actions include changing the cuπent pπce, adding offers at or below the cuπent pπce, modifying the pnce curve and the pπce curve visibility window
*MCI_Co-opManager, responsible for information regarding, and manipulation of, sets of co-ops This manipulation includes finding co-ops with certain characteπstics, creating new co-ops, and deleting co-ops that already exist
All publications and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference The invention now being fully descnbed, it will be apparent to one of ordinary skill in the art that many changes and modifications can be made thereto without departing from the spiπt or scope of the appended claims
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Claims

WHAT TS CLAIMED IS:
1. A system for aggregating demand through an on-line buying group, which comprises: (a) an e-commerce server data processing system, said e-commerce server data processing system including e-commerce server software executable on said e- commerce server data processing system and configured to define a buying co-op for a product by specifying the product for the co-op, a time interval during which the coop is available, any minimum or maximum quantities of the product available through the co-op. and one or more price curves for the product available through the co-op, said e-commerce server software further being configured to accept inputs from buyers to take orders for the product; and
(b) a buyer client data processing system coupled to said e-commerce server data processing system, said buyer client data processing system including first client software executable on said buyer client data processing system and configured to receive data from said e-commerce data processing system describing the buying co-op for the product, display the data describing the buyer's co-op for the product on the buyer client data processing system, to receive buyer order inputs for the product and to transmit buyer order inputs for the product to said e-commerce server data processing system.
2. The system for an on-line buying co-op of claim 1 additionally comprising:
(c) a merchandising staff client data processing system, said merchandising staff client data processing system including second client software executable on said merchandising staff client data processing system and configured to receive merchandising staff inputs for defining a buying co-op for the product.
3. The system for an on-line buying co-op of claim 2 in which said second client software is further configured by including a pricing tool to establish a price curve for the product in the buying co-op.
4. The system for an on-line buying co-op of claim 3 in which said second client software is further configured by including data entry tools to establish a start time and an end time for the buyer's co-op, any minimum or maximum quantities of the product offered and a starting pπce for the product
5 The svstem for an on-line buying co-op of claim 1 in which said first client software is further configured to receive binding, non-cancelable purchase offers from buyers wherein they commit to buy the product within a pπce range, the maximum of which is the cuπent pnce established for the product m the buying coop
6 The system for an on-line buying co-op of claim 5 m which said first client software is further configured to receive a buyer input in terms of a binding, non-cancelable offer to purchase the product contingent on the co-op achieving some pnce range the maximum of which is below the cuπent pπce established for the product in the buying co-op
7 The system for an on-line buying co-op of claim 6 in which said e- commerce software is further configured to later remove the contingency based on a specified lower pnce whenever the cuπent pnce becomes equal to such lower pπce offered by such buyer in response to additional increased volume of binding offers to purchase the product in the buying co-op
8 The system for an on-line buying co-op of claim 1 m which said first client software is configured to receive buyer inputs for sending an e-mail message to other potential buyers who the buyer believes might be interested m the buying co-op
9 The system for an on-line buying co-op of claim 1 in which said first client software is configured to receive buyer inputs suggesting one or more products or product categones for a future buying co-op
10 The system for an on-line buying co-op of claim 1 in which said e- commerce server software is further configured to close the buyer's co-op when either the time interval for the co-op has expired, or either the minimum or maximum quantity of the product has been committed to binding purchase offers falling withm a range deemed acceptable by the pnce curve or other factors
11. The system for an on-line buying co-op of claim 10 in which said e- commerce software is further configured to calculate a final sales price for the product based on acceptable offers received and the quantity of the product that has been committed, to provide order fulfillment instructions for orders meeting the final sales price, to notify successful buyers and to notify unsuccessful buyers that their orders have been declined.
12. The system for an on-line buying co-op of claim 1 in which said e- commerce server software is further configured to notify a buyer when a critical mass has been reached in order for a price for the product to drop to a new level that equals a price offered by the buyer.
13. The system for an on-line buying co-op of claim 1 in which said e- commerce server software is further configured to notify a buyer who has made an unsuccessful offer for a price falling within a reasonable range prior to closing the buyer's co-op to urge the buyer to increase the price so as to make it acceptable.
14. An e-commerce server data processing system for implementing an online buying co-op, said e-commerce server data processing system including e- commerce server software executable on said e-commerce server data processing system and configured to define a buying co-op for a product by specifying the product for the co-op, a time interval for which the co-op is available, any minimum or maximum quantity of the product available through the co-op, one or more price curves for the product available through the co-op, said e-commerce server software further being configured to accept inputs from buyers for purchase offers.
15. The e-commerce data processing system for implementing an on-line buying co-op of claim 14 in which said e-commerce software is further configured to remove a price contingency placed on a buyer's offers once that specific contingency is removed by virtue of the cuπent price becoming equal to the offer price in response to an accumulation of additional binding purchase offers in the buying co-op.
16. The e-commerce data processing system for implementing an on-line buying co-op of claim 14 in which said e-commerce server software is further configured to close the buyer's co-op when either the time interval for the co-op has expired and the minimum quantity of the product has been committed through acceptable purchase orders, or the maximum quantity of the product has been committed through acceptable purchase offers.
17. The e-commerce data processing system for implementing an on-line buying co-op of claim 16 in which said e-commerce software is further configured to calculate a final sales price for the product based on the quantity of the product that has been ordered, to provide order fulfillment instructions for orders meeting the final sales price, to notify those who submitted successful offers and to notify those who submitted unsuccessful offers of that result.
18. The e-commerce data processing system for implementing an on-line buying co-op of claim 14 in which said e-commerce server software is further configured to notify a buyer when a critical mass has been reached in order for a price for the product to drop to a new level that equals a price offered by the buyer.
19. The e-commerce data processing system for implementing an on-line buying co-op of claim 14 in which said e-commerce server software is further configured to notify a buyer who has made an unsuccessful offer for a price falling within a reasonable range prior to closing the buyer's co-op to urge the buyer to increase the price so as to make it acceptable.
20. A process for operating an on-line buying co-op, which comprises:
(a) defining a buying co-op for a product at an e-commerce server data processing system by specifying the product for the co-op, a time interval for which the co-op is available, any minimum or maximum quantity of the product available through the co-op, and one or more price curves for the product available through the co-op;
(b) transmitting data describing the buying co-op for the product from the e-commerce data processing system to a buyer's data processing system; _
(c) displaying the data describing the buyer's co-op for the product on the buyer's data processing system;
(d) receiving a buyer's purchase offer for the product on the buyer's data processing system; (e) transmitting a buyer's purchase offer for the product from the buyer's data processing system to the e-commerce server data processing system; and
(f) accepting the buyer's input in the e-commerce data processing system to record the purchase offer.
21. The process for operating an on-line buying co-op of claim 20 in which the step of defining the buying co-op includes receiving merchandising staff inputs in the e-commerce server data processing system for defining the buying co-op for the product.
22. The process for operating an on-line buying co-op of claim 20 in which the buyer input received on the buyer's data processing system is to offer to buy the product within a range including a cuπent price established for the product in the buying co-op.
23. The process for operating an on-line buying co-op of claim 20 in which the buyer input received on the buyer's data processing system is to offer to purchase the product contingent upon the co-op reaching some point within the range specified by such buyer which is below the cuπent price.
24. The process for operating an on-line buying co-op of claim 20 further comprising the step of:
(g) converting a buyer's contingent offer based on price to an offer no longer contingent on price when the cuπent price becomes equal to the specified offer price in response to additional orders for the product in the buying co-op.
25. The process for operating an on-line buying co-op of claim 20 additionally comprising the steps of: (g) recemng a buyer input on the buyei 's data processing system suggesting a product, product category, brand, acceptable pnce or any other information relevant to the formation of future buying co-ops, and
(h) transmitting the buyer input suggesting a product or other information relating to a future buvmg co-op from the buyer's data processing system to the e- commerce server data processing system
26 The process for operating an on-line buying co-op of claim 20 additionally composing the steps of (g) closing the buying co-op when either the time interval for the co-op has expired, as the same may be extended from time to time and cntical mass has been achieved or the maximum quantity of the product has been ordered, and
(h) accepting the purchase offers which are unconditional at a pπce no lower than the pπce of the product when the co-op is closed
27 The process for operating an on-line buying co-op of claim 26 additionally compπsmg the steps of
(1) calculating a final sales pnce for the product based on the ending co-op pπce, 0) providing order fulfillment instructions for accepted offers,
(k) notifying successful buyers that their offers were accepted, the ending pπce at which their credit card will be charged at time of shipping, the estimated time of shipping, a quantification of the savings to the customer as between the starting pnce and/or the maximum pnce specified by the individual buyer, and the fact that their orders are being fulfilled, and
(1) notifying unsuccessful buyers that their orders have been declined
28 A process for defining an on-line buying co-op for a product in an e- commerce server data processing system, which compπses the steps of (a) specifying the product for the co-op,
(b) specifying a time interval duπng which the co-op is available, specifying at least a minimum quantity of the product available through the co-op that must be ordered for the co-op to achieve a cntical mass, and
(c) defining a pnce curve for the product available through the co-op
29. The process for defining an on-line buying co-op of claim 28 additionally comprising the step of, prior to specifying the product for the co-op:
(d) receiving merchandising staff inputs in the e-commerce server data processing system for defining the buying co-op for the product.
30. An article of manufacture, which comprises a computer readable storage medium having stored therein a computer program for operating an on-line buyer's co-op, the computer program comprising: (a) a first code segment for defining a buying co-op for a product at an e- commerce server data processing system by specifying the product for the co-op, a time interval for which the co-op is available, a minimum and a maximum quantity of the product available through the co-op, and a price curve for the product available through the co-op; (b) a second code segment for transmitting data describing the buying coop for the product from the e-commerce data processing system to a buyer's data processing system; and
(c) a third code segment for receiving a buyer order input in the e- commerce data processing system to take an order for the product.
31. The article of manufacture of claim 30 in which the first code segment includes code for receiving merchandising staff inputs in the e-commerce server data processing system for defining the buying co-op for the product.
32. The article of manufacture of claim 30 in which the third code segment is configured to receive an order at a cuπent price established for the product in the buying co-op.
33. The article of manufacture of claim 32 in which the third code segment is further configured to verify a credit card and to establish the offer as guaranteed by the credit card.
34. The article of manufacture of claim 30 in which the third code segment is configured to receive an offer to purchase the product contingent upon the co-op reaching some specified price less than the cuπent price established for the product in the buying co-op.
35. The article of manufacture of claim 34 in which the computer program further comprises:
(d) a fourth code segment for converting an offer contingent on price, to an offer not contingent on price once the conditional order price equals the cuπent price in response to additional orders for the product in the buying co-op.
36. The article of manufacture of claim 30 in which the computer program additionally comprises:
(d) a fourth code segment for receiving a buyer input suggesting a product for a buying co-op.
37. The article of manufacture of claim 30 in which the computer program additionally comprises:
(d) a fourth code segment for closing the buyer's co-op when either the time interval for the co-op has expired and at least any minimum quantity of the product has been ordered or any maximum quantity of the product has been ordered.
38. The article of manufacture of claim 37 in which the computer program additionally comprises:
(e) a fifth code segment for calculating a final sales price for the product based on the quantity of the product that has been ordered;
(f) a sixth code segment for providing order fulfillment instructions for orders meeting the final sales price;
(g) a seventh code segment for notifying successful buyers that their orders are being fulfilled; and (h) an eighth code segment for notifying unsuccessful buyers that their orders have been declined.
39. An article of manufacture, which comprises a computer readable storage medium having stored therein a computer program for defining an on-line buying co-op. which comprises:
(a) a first code segment which, when executed in a computer, specifies the product for the co-op;
(b) a second code segment which, when executed in the computer, specifies a time interval for which the co-op is available; a third code segment which, when executed in the computer, specifies at least a minimum quantity of the product available through the co-op; and (c) a fourth code segment which, when executed in the computer, defines a price curve for the product available through the co-op.
40. The article of manufacture of claim 39 in which the software additionally comprises: (e) a fifth code segment which, when executed in the computer, receives merchandising staff inputs in the computer for defining the buying co-op for the product.
41. A buyer client data processing system for implementing an online buying co-op, comprising: a first receiver configured to receive data from an e-commerce data processing system describing a buying co-op for a product/service, wherein the received data defines the buying co-op for the product/service by specifying the product/service for the co-op, a time interval for which the co-op is available, any minimum or maximum quantity of the product/service available through the co-op, and at least one price curve for the product/service available through the co-op; a display configured to display the received data describing the buying co-op for the product/service; a second receiver configured to receive buyer order inputs for the product/service: and a transmitter configured to transmit the received buyer order inputs for the product/service to said e-commerce server data processing system.
42. The buyer client data processing system of claim 41, further comprising: an e-commerce electronic mail preparer configured to receive buyer information regarding the product/service, wherein the transmitter is further configured to transmit the received buyer information to at least one of the e- commerce server data processing system or another buyer client data processing system.
43. A method for defining an on-line buying co-op for a product/service in a buyer client data processing system, comprising:
(a) receiving at the buyer client data processing system from an e- commerce data processing system data describing a buying co-op for a product/service, wherein the received data defines the buying co-op for the product/service by specifying the product/service for the co-op, a time interval for which the co-op is available, any minimum or maximum quantity of the product/service available through the co-op, and at least one price curve for the product/service available through the co-op;
(b) displaying the received data describing the buying co-op for the product/service on the buyer client data processing system; (c) receiving a buyer's purchase offer for the product/service in the buyer client data processing system; and
(d) transmitting the received buyer's purchase offer for the product/service from the buyer client data processing system to the e-commerce server data processing system.
44. The method of claim 43, further comprising:
(e) receiving buyer information regarding the product/service; and
(f) transmitting the received buyer information to at least one of the e-commerce server data processing system or another buyer client data processing system.
J
45. An e-commerce server data processing system for implementing an online buying co-op, said e-commerce server data processing system including e- commerce server software executable on said e-commerce server data processing system and configured to receive e-mail messages from prospective buyers requesting a product/service, configured to determine that said requested product/service is not located in an e-commerce database containing products/services available for sale in the online buying co-op. configured to store in a memory an indication of said requested product/service, and configured to generate a product/service request when a number of indications for said requested product/service in the memory equals or exceeds a predetermined threshold.
46. The e-commerce server data processing system of claim 45 wherein the e-commerce server data processing system sends the generated product/service request to a seller of the requested product/service.
47. The e-commerce server data processing system of claim 46 wherein the generated product/service request further requests the seller to define a buying coop for the requested product/service by specifying any minimum or maximum quantity of the requested product/service available through the online buying co-op and one or more price curves for the requested product/service available through the online buying co-op.
48. A process for selecting a product/service for an on-line buying co-op, comprising:
(a) receiving e-mail messages from prospective buyers requesting the product/service; (b) determining that said requested product/service is not located in an e-commerce database identifying products/services available for sale in the online buying co-op;
(c) storing in a memory an indication of said requested product/service; and (d) generating a product/service request when a number of indications in the memory for said requested product/service equals or exceeds a predetermined threshold.
49. The process of claim 48, further comprising sending the generated product/service request to a seller having the requested product/service.
50. The process of claim 49 wherein sending the generated product/service request comprises requesting the seller to define a buying co-op for the requested product/service by specifying any minimum or maximum quantity of the requested product/service available through the co-op and requesting the seller to provide one or more price curves for the requested product/service available through the co-op.
51. An e-commerce server data processing system for collecting price/demand curve data during an online buying co-op, said e-commerce server data processing system including e-commerce server software executable on said e- commerce server data processing system and configured to define a buying co-op for a product/service by specifying the product/service for the co-op, one or more price curves for the product/service available through the co-op, configured to receive purchase offers from buyers for the product/service, and further configured to retain received purchase offers, wherein the retained purchase offers define an empirical price/demand curve for the product/service by including a price and a coπesponding quantity for the product/service in the buying co-op.
52. The system of claim 51 wherein the e-commerce server data processing system is further configured to send the empirical price/demand curve for the product/service to an external computing system.
53. A method for collecting price/demand curve data during an online buying co-op sale of a product/service, comprising: (a) defining a buying co-op for the product/service by specifying the product/service for the co-op and at least one price curve for the product/service during the online buying co-op sale;
(b) receiving purchase offers from buyers for the product/service; and
(c) retaining received purchase offers, wherein the retained purchase offers define an empirical price/demand curve for the product/service by including a price and a coπesponding quantity for the product/service in the buying co-op.
54. The method of claim 53 wherein at least one retained received purchase offer is below a final sale price for the product/service in the on-line buying co-op sale.
55. The method of claim 53, further comprising sending the empirical price/demand curve for the product/service to an external computing system.
56. A computer-readable data transmission medium containing a data structure comprising:
(a) a first portion that specifies a product/service for an on-line buying co-op;
(b) a second portion that specifies a time interval for which the on- line buying co-op is available;
(c) a third portion that specifies at least a minimum quantity of the product/service available through the on-line buying co-op;
(d) a fourth portion that specifies a present price for the product/service available through the on-line buying co-op; and (e) a fifth portion containing product/service solicitation language, wherein the product/service solicitation language informs a receiver that the product/service may be purchased for the present price and that a binding offer may also be provided for the product/service at a price lower than the present price.
57. The computer-readable data transmission medium of claim 56 wherein the product/service solicitation language further informs the receiver that a final price for the product/service is determined once the time interval for which the on-line buying co-op is available has elapsed.
58. The computer-readable data transmission medium of claim 57 wherein the product/service solicitation language further informs the receiver that the product/service is sold at the final price even if binding offers have been received at higher prices.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6915275B2 (en) 2001-06-07 2005-07-05 International Business Machines Corporation Managing customization of projects prior to manufacture in an electronic commerce system
US6965877B2 (en) 2001-06-07 2005-11-15 International Business Machines Corporation Brokering and facilitating consumer projects in an e-commerce system

Families Citing this family (224)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000070424A2 (en) 1999-05-12 2000-11-23 Ewinwin, Inc. Multiple criteria buying and selling model, and system for managing open offer sheets
US7818212B1 (en) 1999-10-22 2010-10-19 Ewinwin, Inc. Multiple criteria buying and selling model
US7693748B1 (en) 1991-06-03 2010-04-06 Ewinwin, Inc. Method and system for configuring a set of information including a price and volume schedule for a product
US7133835B1 (en) * 1995-08-08 2006-11-07 Cxn, Inc. Online exchange market system with a buyer auction and a seller auction
US7146330B1 (en) 1999-02-08 2006-12-05 Vulcan Portals, Inc. Method and system for creating and managing groups for increasing buying power on the world wide web
US7194427B1 (en) 1999-03-31 2007-03-20 Vulcan Portals, Inc. On-line group-buying sale with increased value system and method
US6101484A (en) 1999-03-31 2000-08-08 Mercata, Inc. Dynamic market equilibrium management system, process and article of manufacture
US7539628B2 (en) 2000-03-21 2009-05-26 Bennett James D Online purchasing system supporting buyer affordability screening
US8311896B2 (en) 1999-05-12 2012-11-13 Ewinwin, Inc. Multiple criteria buying and selling model
US8732018B2 (en) 1999-05-12 2014-05-20 Ewinwin, Inc. Real-time offers and dynamic price adjustments presented to mobile devices
US8626605B2 (en) 1999-05-12 2014-01-07 Ewinwin, Inc. Multiple criteria buying and selling model
US7593871B1 (en) 2004-06-14 2009-09-22 Ewinwin, Inc. Multiple price curves and attributes
US7181419B1 (en) 2001-09-13 2007-02-20 Ewinwin, Inc. Demand aggregation system
US7689469B1 (en) 1999-05-12 2010-03-30 Ewinwin, Inc. E-commerce volume pricing
US20110213648A1 (en) * 1999-05-12 2011-09-01 Ewinwin, Inc. e-COMMERCE VOLUME PRICING
US7124099B2 (en) * 1999-05-12 2006-10-17 Ewinwin, Inc. E-commerce volume pricing
US8140402B1 (en) 2001-08-06 2012-03-20 Ewinwin, Inc. Social pricing
US8290824B1 (en) * 1999-05-12 2012-10-16 Ewinwin, Inc. Identifying incentives for a qualified buyer
US7076447B1 (en) * 1999-06-10 2006-07-11 Inphonic, Inc. Systems and methods for aggregating buyers for the purchase of telecommunication services via a network
US8494917B2 (en) 1999-06-29 2013-07-23 Priceplay.Com, Inc. Systems and methods for transacting business over a global communications network such as the internet
US8050982B2 (en) * 1999-06-29 2011-11-01 Priceplay, Inc. Systems and methods for transacting business over a global communications network such as the internet
US20060036511A1 (en) * 1999-06-29 2006-02-16 Lin Wayne W Y Systems and methods for transacting business over a global communications network such as the internet
US7263505B1 (en) 1999-06-30 2007-08-28 Kyklos Entertainment S.R.L. Method and apparatus for generating a sale offer over an electronic network system
US7480627B1 (en) 1999-07-06 2009-01-20 Vulcan Portals, Inc. System and method for extension of group buying throughout the internet
US6934690B1 (en) * 1999-07-06 2005-08-23 Vulcan Portals, Inc. System and method for extension of group buying throughout the internet
US6928416B1 (en) * 1999-07-07 2005-08-09 Michael L. Bertash Virtual client discount pricing
WO2001016818A1 (en) * 1999-08-26 2001-03-08 Elephant Design Co., Ltd. System for collecting commodity specifications and related customer information
US7103565B1 (en) * 1999-08-27 2006-09-05 Techventure Associates, Inc. Initial product offering system
US7912761B2 (en) * 1999-08-27 2011-03-22 Tech Venture Associates, Inc. Initial product offering system and method
WO2001022334A2 (en) * 1999-09-21 2001-03-29 Pickard Stuart G Pooled transaction system
US7181424B1 (en) * 1999-09-23 2007-02-20 The Nasdaq Stock Market, Inc. Montage for automated market system
US7319986B2 (en) * 1999-09-28 2008-01-15 Bank Of America Corporation Dynamic payment cards and related management systems and associated methods
US7376611B1 (en) * 1999-11-12 2008-05-20 Sabre, Inc. Demand aggregation and distribution system
US7349879B2 (en) * 1999-12-06 2008-03-25 Alsberg Peter A Methods and systems for market clearance
US7668747B2 (en) * 1999-12-13 2010-02-23 Autosavings Network, Inc. System and method for providing incentives to purchasers
US7536336B1 (en) * 2000-05-19 2009-05-19 Paypal, Inc. Multi-party electronic transactions
US20080154694A1 (en) * 2006-12-20 2008-06-26 Steve Litzow System and method for dynamic price setting and facilitation of commercial transactions
US20030093414A1 (en) * 2000-11-14 2003-05-15 Steve Litzow System and method for dynamic price setting and facilitation of commercial transactions
US20060053132A1 (en) * 2004-09-07 2006-03-09 Steve Litzow System and method for dynamic price setting and facilitation of commercial transactions
US7647270B2 (en) * 2000-03-08 2010-01-12 W.R. Hambrecht + Co., Llc System and methods for pricing and allocation of commodities or securities
US7415436B1 (en) * 2000-03-08 2008-08-19 W. R. Hambrecht + Co., Llc System and method for pricing and allocation of commodities or securities
US7020627B1 (en) * 2000-03-10 2006-03-28 Mitsubishi Denki Kabushiki Kaisha Material procurement system and a material procurement method
JP2001283070A (en) * 2000-03-30 2001-10-12 Canon Inc Group purchase system, group purchase management server, terminal, group purchase method, privilege giving program, recording medium for recording the program and sales system
US20010047308A1 (en) * 2000-03-31 2001-11-29 Joseph Kaminsky Concurrent dynamic pricing marketing and selling system
AU2001250059B2 (en) * 2000-04-05 2006-06-22 Ods Properties, Inc. Systems and methods for placing parimutuel wagers on future events
US6837791B1 (en) * 2000-04-05 2005-01-04 Ods Properties, Inc. Interactive wagering system with totalisator selection
US7171374B1 (en) * 2000-04-11 2007-01-30 Consensis, Llc Utility resource aggregation and allocation
US20020002500A1 (en) * 2000-04-13 2002-01-03 Kuniaki Takahashi Product sales server, product sales system, and sales method
US7263498B1 (en) 2000-05-23 2007-08-28 Vulcan Portals, Inc. Attaining product inventory groupings for sales in a group-buying environment
JP2001338117A (en) * 2000-05-25 2001-12-07 Internatl Business Mach Corp <Ibm> Server, information communication terminal, method for managing sales of commodity, storage medium and program transmission device
US7415425B1 (en) 2000-06-02 2008-08-19 Walker Digital, Llc Systems and methods wherein a security deposit facilitates a transaction in which a benefit is applied in exchange for performance of a task
US7363246B1 (en) * 2000-06-19 2008-04-22 Vulcan Portals, Inc. System and method for enhancing buyer and seller interaction during a group-buying sale
US20020032634A1 (en) * 2000-09-11 2002-03-14 Abrams Howard Allan Method and system for online live auctions
US20030004850A1 (en) * 2000-09-18 2003-01-02 Emptoris, Inc. Auction management
JP2002109325A (en) * 2000-09-19 2002-04-12 Internatl Business Mach Corp <Ibm> System and method for buying merchandise, storage medium recorded with program for performing merchandise buying method and server used for the same
US7136833B1 (en) * 2000-09-25 2006-11-14 Eugene Lawrence Podsiadlo Communication network based system and method for auctioning shares on an investment product
US7236944B1 (en) * 2000-11-22 2007-06-26 Schwartz Scott H Discount estimating and purchase system and method
US7082409B1 (en) * 2000-11-22 2006-07-25 Richard Sutton Cherry Fully integrated on-line interactive purchasing club incorporating extremely rapid fulfillment
US7299206B2 (en) * 2000-11-30 2007-11-20 Ebay Inc. Method and system to implement seller authorized buying privileges within a network-based shopping facility
TW484085B (en) * 2000-12-06 2002-04-21 Inventec Corp Automatic pricing system for electronic network trading
US7606744B1 (en) 2001-02-16 2009-10-20 Financial Systems Technology (Intellectual Property) Pty. Ltd. System and method for real-time pricing with volume discounting
GB2372595A (en) * 2001-02-23 2002-08-28 Hewlett Packard Co Method of and apparatus for ascertaining the status of a data processing environment.
US7406436B1 (en) 2001-03-22 2008-07-29 Richard Reisman Method and apparatus for collecting, aggregating and providing post-sale market data for an item
US20020198761A1 (en) * 2001-06-11 2002-12-26 First Look Networks, L.L.C. System and method for identifying a market by projecting demand and identifying supply
US8301539B2 (en) * 2001-07-09 2012-10-30 The Nasdaq Omx Group, Inc. Order processing for automated market system
US8296216B2 (en) * 2001-07-09 2012-10-23 The Nasdaq Omx Group, Inc. Directed order processing for automated market system
US7716086B2 (en) * 2001-08-31 2010-05-11 Gateway, Inc. Electronic retail order communication
US7386476B1 (en) * 2001-10-09 2008-06-10 At&T Intellectual Property, Inc. Small business service buying club systems and methods
US6996579B2 (en) * 2001-11-02 2006-02-07 At&T Corp. E-coupon service for location-aware mobile commerce which determines whether to supply requested e-coupons based on the number of requests received in a processing cycle, and a threshold number of requests required to make expected returns from redeemed coupons greater than advertising fees
US7042024B2 (en) * 2001-11-09 2006-05-09 Semiconductor Energy Laboratory Co., Ltd. Light emitting apparatus and method for manufacturing the same
US20030135425A1 (en) * 2002-01-11 2003-07-17 Leavitt Harold O. Method and apparatus for a cryptographically assisted commercial system designed to facilitate seller driven sales offers
US7937294B1 (en) * 2002-01-12 2011-05-03 Telegrow, Llc System, and associated method, for configuring a buying club and a coop order
US8036950B1 (en) * 2002-02-20 2011-10-11 Emptoris, Inc. Auction management with business-volume discount
US7660741B2 (en) * 2002-03-04 2010-02-09 I2 Technologies Us, Inc. Sourcing under quantity pricing rules
US20030167204A1 (en) * 2002-03-04 2003-09-04 Nokia Corporation Method and system for providing content items to users
US20030171995A1 (en) * 2002-03-07 2003-09-11 Rockwell Electronic Commerce Technologies, L.L.C. Method and system for transacting and negotiating business over a communication network using an infomediary computer
US20030212570A1 (en) * 2002-05-13 2003-11-13 Inventec Corporation System and method for inquiring remaining quantity of orders
TW200307879A (en) * 2002-05-16 2003-12-16 I2 Technologies Inc Determining a distribution of a group purchase among a number of sellers that substantially minimizes an overall price of the group purchase
US8396781B2 (en) * 2002-06-05 2013-03-12 The Nasdaq Omx Group, Inc. Interest dissemination process and method
US7899707B1 (en) 2002-06-18 2011-03-01 Ewinwin, Inc. DAS predictive modeling and reporting function
US20040044591A1 (en) * 2002-06-19 2004-03-04 Gilliland Ramelle L. Method and system for electronic procurement involving electronic requests for quotation
US7689463B1 (en) 2002-08-28 2010-03-30 Ewinwin, Inc. Multiple supplier system and method for transacting business
US20040098315A1 (en) * 2002-11-19 2004-05-20 Haynes Leonard Steven Apparatus and method for facilitating the selection of products by buyers and the purchase of the selected products from a supplier
US20040193432A1 (en) * 2003-03-25 2004-09-30 Tariq Khalidi Automated and integrated acquisition system and process
US20040193501A1 (en) * 2003-03-26 2004-09-30 Docomo Communications Laboratories Usa, Inc. Multiprice commerce service
US20040225616A1 (en) * 2003-05-09 2004-11-11 Arnold Gordon K. Method, system and computer program product for third-party verification of anonymous e-marketplace transactions using digital signatures
US7895119B2 (en) * 2003-05-13 2011-02-22 Bank Of America Corporation Method and system for pushing credit payments as buyer initiated transactions
US20040230526A1 (en) * 2003-05-13 2004-11-18 Praisner C. Todd Payment control system and associated method for facilitating credit payments in the accounts payable environment
US8590785B1 (en) 2004-06-15 2013-11-26 Ewinwin, Inc. Discounts in a mobile device
US7364086B2 (en) 2003-06-16 2008-04-29 Ewinwin, Inc. Dynamic discount card tied to price curves and group discounts
US7606724B2 (en) * 2003-08-22 2009-10-20 Taiwan Semiconductor Manufacturing Co., Ltd. Demand dispatch system and method
US7500178B1 (en) * 2003-09-11 2009-03-03 Agis Network, Inc. Techniques for processing electronic forms
US7783534B2 (en) * 2003-09-12 2010-08-24 International Business Machines Corporation Optimal method, system, and storage medium for resolving demand and supply imbalances
US8271337B1 (en) 2003-09-25 2012-09-18 Nor1, Inc. System and method for transacting for an upgrade having an uncertain availability
US7249062B2 (en) * 2003-09-25 2007-07-24 Nor1, Inc. Method for transacting for a perishable object having an uncertain availability
US9652584B2 (en) * 2003-10-31 2017-05-16 The Boeing Company Aircraft design systems and methods
US20050096952A1 (en) * 2003-10-31 2005-05-05 Hansen Allan M. Methods and systems for option-based product definition
US20050096997A1 (en) * 2003-10-31 2005-05-05 Vivek Jain Targeting shoppers in an online shopping environment
US7206758B2 (en) * 2003-11-12 2007-04-17 International Business Machines Corporation Method, system and computer program product for identifying and implementing collected privacy policies as aggregate privacy policies in electronic transactions
JP4018661B2 (en) * 2004-04-20 2007-12-05 ディーコープ株式会社 Network reverse auction control method, control program, and server device
US7457769B2 (en) * 2004-04-26 2008-11-25 Emptoris, Inc. Methods and apparatus for an auction system with interactive bidding
US20050273405A1 (en) * 2004-06-04 2005-12-08 Perry Chen Method and system fro making a conditional event binding on purchasers and vendors
US20070100729A1 (en) * 2004-06-04 2007-05-03 Kickstartr, Llc Systems and methods for making conditional sales of investments
US20060271481A1 (en) * 2004-06-04 2006-11-30 Perry Chen Systems and methods for making conditional purchase requests
US8346593B2 (en) 2004-06-30 2013-01-01 Experian Marketing Solutions, Inc. System, method, and software for prediction of attitudinal and message responsiveness
US7647024B2 (en) * 2005-10-03 2010-01-12 Sellerbid, Inc. Method and system for improving client server transmission over fading channel with wireless location and authentication technology via electromagnetic radiation
US20060085321A1 (en) 2004-07-20 2006-04-20 Staib William E Simulation auction for public offering
US20060020537A1 (en) * 2004-07-23 2006-01-26 Yun-Ming Chang Internet business transactions approach model system
WO2006023499A2 (en) * 2004-08-17 2006-03-02 Citicorp Credit Services, Inc. Methods and systems for implementing a group buy
US7447646B1 (en) * 2004-09-23 2008-11-04 Amazon Technologies, Inc. Method and computer-readable medium for automated dynamic pricing of products with parameter-driven state transitions
US10977613B2 (en) * 2004-10-20 2021-04-13 Dizpersion Technologies, Inc. Method and system for providing cooperative purchasing over social networks
IL164831A0 (en) * 2004-10-25 2005-12-18 Mordekhay Ankonina Uniform price auction method
US20060106712A1 (en) * 2004-11-17 2006-05-18 Min Guo Method and Apparatus for Online Buyer Oriented Reverse Auction System
CA2489132A1 (en) * 2004-12-03 2006-06-03 Reginald Henry Gram Computerized reverse auction
US9314697B2 (en) 2013-07-26 2016-04-19 Blue Calypso, Llc System and method for advertising distribution through mobile social gaming
US10755313B2 (en) 2004-12-27 2020-08-25 Andrew Levi System and method for distribution of targeted content between mobile communication devices
US10354280B2 (en) 2004-12-27 2019-07-16 Blue Calypso, Llc System and method for distribution of targeted advertising between mobile communication devices
US20060167767A1 (en) * 2005-01-26 2006-07-27 Verona Steven N Countdown pricing process
US20060190381A1 (en) * 2005-02-01 2006-08-24 Sweeney Michael J Collective purchase model for medical products
US7885853B2 (en) * 2005-05-07 2011-02-08 Yi Mao System and method for hybrid single and aggregation sale
JP3746784B1 (en) * 2005-06-30 2006-02-15 株式会社インテリア計画 Joint purchase system for products using network
US20070061185A1 (en) * 2005-09-09 2007-03-15 International Business Machines Corporation Method, system, and computer program product for implementing availability messaging services
US8005744B2 (en) * 2005-09-23 2011-08-23 Alan Hamor Methods and systems for facilitating bids on products and services
US7778882B2 (en) * 2006-03-03 2010-08-17 Mukesh Chatter Method, system and apparatus for automatic real-time iterative commercial transactions over the internet in a multiple-buyer, multiple-seller marketplace, optimizing both buyer and seller needs based upon the dynamics of market conditions
US20090198622A1 (en) * 2006-03-10 2009-08-06 Temte John D Interactive System And Method For Transacting Business Over A Network
US20070226125A1 (en) * 2006-03-10 2007-09-27 Temte John D Interactive system and method for transacting business
US7788149B2 (en) * 2006-06-30 2010-08-31 Demand Aggregation Solution Llc Method and computer program for the acquisition of capital equipment using web-based purchase pooling
US7848957B2 (en) * 2006-06-30 2010-12-07 Columbia Insurance Company System for ordering products and forecasting customer interest
US20080114662A1 (en) * 2006-10-16 2008-05-15 Hanshi Nianmin Qi E-commerce system and method employing accumulative assembly of orders
US8255269B1 (en) 2006-11-11 2012-08-28 Samir Aued Data processing method for maximization of present and future supply and/or demand objectives
US20080114634A1 (en) * 2006-11-13 2008-05-15 International Business Machines Corporation Method, system, and computer program product for determining availability and order scheduling of diverse products and services
US7895081B1 (en) 2006-12-29 2011-02-22 Amazon Technologies, Inc. Facilitating transactions involving buying items from and selling items to users
US7891562B1 (en) 2006-12-29 2011-02-22 Amazon Technologies, Inc. Facilitating identification of items to make available for sale to users
US20080183575A1 (en) * 2007-01-31 2008-07-31 Vulcan Portals, Inc. Back-channel media delivery system
US20090048908A1 (en) * 2007-01-31 2009-02-19 Vulcan Portals, Inc. Media delivery system
US8719109B1 (en) 2007-03-29 2014-05-06 Amazon Technologies, Inc. Facilitating transactions involving items by notifying selected users of demand for items
US8095430B2 (en) * 2007-04-04 2012-01-10 Google Inc. Demand aggregation in a geo-spatial network
US8302861B2 (en) * 2007-05-22 2012-11-06 Ibm International Group B.V. System and method for maintaining inventory management records based on demand
US20080313060A1 (en) * 2007-06-18 2008-12-18 Damodaran Suresh K Openly accessible inventory management system and method
US8660908B2 (en) * 2007-09-13 2014-02-25 International Business Machines Corporation Online auction propagation
US20090083136A1 (en) * 2007-09-21 2009-03-26 Scott Kyle Blackwood Consolidating online purchase transactions
US20100299271A1 (en) * 2008-01-22 2010-11-25 Stellar Netcom, Inc. Methods and systems for performing transactions
US20090249400A1 (en) * 2008-03-27 2009-10-01 United Video Properties, Inc. Systems and methods for providing on-demand media content
CA2723022A1 (en) * 2008-05-22 2009-11-26 Six Degrees Capital Corporation An item information system
US20090327147A1 (en) * 2008-06-26 2009-12-31 Parijat Dube System and method of strategic coalition building and matching for business services
US20090327034A1 (en) * 2008-06-27 2009-12-31 eHaggle, LLC Methods and apparatus for electronic commerce
US20100030644A1 (en) * 2008-08-04 2010-02-04 Rajasekaran Dhamodharan Targeted advertising by payment processor history of cashless acquired merchant transactions on issued consumer account
US8700451B2 (en) * 2008-10-29 2014-04-15 Vulcan Ip Holdings Inc. Systems and methods for tracking consumers
US20100180232A1 (en) * 2009-01-13 2010-07-15 David John Honan Method and System for Grouping Buyers Based on Common Interests
US8050978B2 (en) * 2009-02-27 2011-11-01 Raytheon Company Method and system for an electronic marketplace for information products
US20100274601A1 (en) * 2009-04-24 2010-10-28 Intermational Business Machines Corporation Supply chain perameter optimization and anomaly identification in product offerings
US8301495B2 (en) * 2009-05-05 2012-10-30 Groupon, Inc. System and methods for discount retailing
US8650072B2 (en) 2009-05-05 2014-02-11 Groupon, Inc. System and methods for providing location based discount retailing
US8355948B2 (en) 2009-05-05 2013-01-15 Groupon, Inc. System and methods for discount retailing
US8065198B2 (en) * 2009-05-11 2011-11-22 Microsoft Corporation Providing time-sensitive information for purchase determinations
US20100299269A1 (en) * 2009-05-20 2010-11-25 Sean Martin Method of soliciting an aggregate purchase
US9841282B2 (en) 2009-07-27 2017-12-12 Visa U.S.A. Inc. Successive offer communications with an offer recipient
US20110035278A1 (en) 2009-08-04 2011-02-10 Visa U.S.A. Inc. Systems and Methods for Closing the Loop between Online Activities and Offline Purchases
US20110035280A1 (en) 2009-08-04 2011-02-10 Visa U.S.A. Inc. Systems and Methods for Targeted Advertisement Delivery
US20110047072A1 (en) * 2009-08-07 2011-02-24 Visa U.S.A. Inc. Systems and Methods for Propensity Analysis and Validation
US20110071890A1 (en) * 2009-09-21 2011-03-24 Ryan Andrew Hart System and method for bundled selling of goods and services at a prepaid fixed price using the internet
US20110082769A1 (en) * 2009-10-02 2011-04-07 Ryan Daniel Hatfield Method for managing item quantities in an ecommerce environment
US9342835B2 (en) * 2009-10-09 2016-05-17 Visa U.S.A Systems and methods to deliver targeted advertisements to audience
US20110087530A1 (en) * 2009-10-09 2011-04-14 Visa U.S.A. Inc. Systems and Methods to Provide Loyalty Programs
US20110087546A1 (en) * 2009-10-09 2011-04-14 Visa U.S.A. Inc. Systems and Methods for Anticipatory Advertisement Delivery
US20110087547A1 (en) * 2009-10-09 2011-04-14 Visa U.S.A. Systems and Methods for Advertising Services Based on a Local Profile
US9031860B2 (en) * 2009-10-09 2015-05-12 Visa U.S.A. Inc. Systems and methods to aggregate demand
US20110087519A1 (en) * 2009-10-09 2011-04-14 Visa U.S.A. Inc. Systems and Methods for Panel Enhancement with Transaction Data
US8595058B2 (en) 2009-10-15 2013-11-26 Visa U.S.A. Systems and methods to match identifiers
US20110093335A1 (en) * 2009-10-19 2011-04-21 Visa U.S.A. Inc. Systems and Methods for Advertising Services Based on an SKU-Level Profile
US20110093324A1 (en) 2009-10-19 2011-04-21 Visa U.S.A. Inc. Systems and Methods to Provide Intelligent Analytics to Cardholders and Merchants
US8676639B2 (en) 2009-10-29 2014-03-18 Visa International Service Association System and method for promotion processing and authorization
US8626705B2 (en) 2009-11-05 2014-01-07 Visa International Service Association Transaction aggregator for closed processing
US8335727B2 (en) * 2009-11-19 2012-12-18 Nec Europe Ltd. Group content on demand access control
US20110125565A1 (en) 2009-11-24 2011-05-26 Visa U.S.A. Inc. Systems and Methods for Multi-Channel Offer Redemption
AU2011200098A1 (en) * 2010-01-14 2011-07-28 Gipps, Stephen Dennis Mr An Offer Amalgamation system
WO2011115855A2 (en) * 2010-03-16 2011-09-22 Zaphour, Inc. Method and apparatus for providing predetermined promotional offers
US10169308B1 (en) 2010-03-19 2019-01-01 Google Llc Method and system for creating an online store
WO2011146888A1 (en) * 2010-05-20 2011-11-24 Bishbosh, Inc. System and method for buying and selling goods and services via an online marketplace
US20120036048A1 (en) 2010-08-06 2012-02-09 Diy Media, Inc. System and method for distributing multimedia content
US8473348B2 (en) 2010-09-16 2013-06-25 Mark G. Artall Paid media online cooperative method
US10282744B2 (en) * 2010-10-29 2019-05-07 Excalibur Ip, Llc Consumer group buying through online ads
US10007915B2 (en) 2011-01-24 2018-06-26 Visa International Service Association Systems and methods to facilitate loyalty reward transactions
US20120284138A1 (en) * 2011-05-02 2012-11-08 Shave John T Computerized system and method for presenting discount offers
TW201246107A (en) * 2011-05-06 2012-11-16 zhen-hong Chen Network transaction method and system
US9734503B1 (en) 2011-06-21 2017-08-15 Google Inc. Hosted product recommendations
US9143889B2 (en) 2011-07-05 2015-09-22 Htc Corporation Method of establishing application-related communication between mobile electronic devices, mobile electronic device, non-transitory machine readable media thereof, and media sharing method
US20130018743A1 (en) * 2011-07-14 2013-01-17 Billson Yang Order accumulation website
KR20130013168A (en) * 2011-07-27 2013-02-06 안영호 System and method for global joint purchase service on first-come-first-served basis
US20130041726A1 (en) * 2011-08-12 2013-02-14 Carl Randlett Hall Methods and Systems for Identifying Demand for, and Negotiating Discounted Prices of, Goods and Services
US10223707B2 (en) 2011-08-19 2019-03-05 Visa International Service Association Systems and methods to communicate offer options via messaging in real time with processing of payment transaction
US8700494B2 (en) * 2011-09-06 2014-04-15 Google Inc. Identifying product variants
US20130211874A1 (en) * 2012-02-10 2013-08-15 LaShou Group INC. System and Method for Mass Production and Sale of Configurable and Personalized Tablet Computers
US8666791B1 (en) * 2012-02-13 2014-03-04 Joseph Fedele Method and apparatus for procurement aggregation
US20130218686A1 (en) * 2012-02-16 2013-08-22 Yahoo! Inc. Methods and Systems For Group Offers Within Group Chat
US10664861B1 (en) 2012-03-30 2020-05-26 Groupon, Inc. Generating promotion offers and providing analytics data
US10304093B2 (en) 2013-01-24 2019-05-28 Groupon, Inc. Method, apparatus, and computer readable medium for providing a self-service interface
US10192243B1 (en) 2013-06-10 2019-01-29 Groupon, Inc. Method and apparatus for determining promotion pricing parameters
US10304091B1 (en) 2012-04-30 2019-05-28 Groupon, Inc. Deal generation using point-of-sale systems and related methods
US10664876B1 (en) 2013-06-20 2020-05-26 Groupon, Inc. Method and apparatus for promotion template generation
US10255620B1 (en) 2013-06-27 2019-04-09 Groupon, Inc. Fine print builder
US9996859B1 (en) 2012-03-30 2018-06-12 Groupon, Inc. Method, apparatus, and computer readable medium for providing a self-service interface
US10147130B2 (en) 2012-09-27 2018-12-04 Groupon, Inc. Online ordering for in-shop service
TW201342273A (en) * 2012-04-05 2013-10-16 Dadny Inc Group-buying system and method tehreof
US8612274B2 (en) * 2012-04-30 2013-12-17 Yahoo! Inc. Pricing engine revenue evaluation
US11386461B2 (en) 2012-04-30 2022-07-12 Groupon, Inc. Deal generation using point-of-sale systems and related methods
US20130304602A1 (en) * 2012-05-04 2013-11-14 Frank J. Uxa, Jr. Marketing Methods
US10346870B1 (en) * 2012-05-08 2019-07-09 Groupon, Inc. Dynamic promotion analytics
US10482487B1 (en) 2012-08-13 2019-11-19 Livingsocial, Inc. Incentivizing sharing in social networks
US9922355B2 (en) * 2013-07-03 2018-03-20 Simple Order Ltd. System, platform and method for shared order management
US10726456B2 (en) * 2013-07-15 2020-07-28 Aptitude, Llc Method, apparatus, and computer program product for providing a virtual aggregation group
US9814985B2 (en) 2013-07-26 2017-11-14 Blue Calypso, Llc System and method for advertising distribution through mobile social gaming
US10373431B2 (en) 2013-07-26 2019-08-06 Blue Calypso, Llc System and method for advertising distribution through mobile social gaming
US10354268B2 (en) 2014-05-15 2019-07-16 Visa International Service Association Systems and methods to organize and consolidate data for improved data storage and processing
US10650398B2 (en) 2014-06-16 2020-05-12 Visa International Service Association Communication systems and methods to transmit data among a plurality of computing systems in processing benefit redemption
US11257117B1 (en) 2014-06-25 2022-02-22 Experian Information Solutions, Inc. Mobile device sighting location analytics and profiling system
US10438226B2 (en) 2014-07-23 2019-10-08 Visa International Service Association Systems and methods of using a communication network to coordinate processing among a plurality of separate computing systems
US9691085B2 (en) 2015-04-30 2017-06-27 Visa International Service Association Systems and methods of natural language processing and statistical analysis to identify matching categories
WO2016187388A1 (en) * 2015-05-19 2016-11-24 Agora Intelligence, Inc. Method, apparatus, and computer-readable medium for leveraging real-time sales volume for conducting group buys
US9767309B1 (en) 2015-11-23 2017-09-19 Experian Information Solutions, Inc. Access control system for implementing access restrictions of regulated database records while identifying and providing indicators of regulated database records matching validation criteria
US20180060954A1 (en) 2016-08-24 2018-03-01 Experian Information Solutions, Inc. Sensors and system for detection of device movement and authentication of device user based on messaging service data from service provider
US20180137528A1 (en) * 2016-11-08 2018-05-17 Ithzak Belo Method for Selling Products with a Chance for Total Refund
US11682041B1 (en) 2020-01-13 2023-06-20 Experian Marketing Solutions, Llc Systems and methods of a tracking analytics platform
US11907877B2 (en) 2021-03-29 2024-02-20 International Business Machines Corporation Fulfilling orders using supply from identified users

Family Cites Families (68)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3581072A (en) 1968-03-28 1971-05-25 Frederick Nymeyer Auction market computation system
US4567359A (en) 1984-05-24 1986-01-28 Lockwood Lawrence B Automatic information, goods and services dispensing system
US5309355A (en) 1984-05-24 1994-05-03 Lockwood Lawrence B Automated sales system
JPH0743748B2 (en) 1986-02-17 1995-05-15 株式会社オークネット Information transmission processing method of auction information transmission processing system
US4949248A (en) 1988-07-15 1990-08-14 Caro Marshall A System for shared remote access of multiple application programs executing in one or more computers
US5148365A (en) 1989-08-15 1992-09-15 Dembo Ron S Scenario optimization
US5712985A (en) 1989-09-12 1998-01-27 Lee; Michael D. System and method for estimating business demand based on business influences
GB9027249D0 (en) 1990-12-17 1991-02-06 Reuters Ltd Offer matching system
US5255184A (en) 1990-12-19 1993-10-19 Andersen Consulting Airline seat inventory control method and apparatus for computerized airline reservation systems
US5270921A (en) 1990-12-19 1993-12-14 Andersen Consulting Virtual fare methods for a computerized airline seat inventory control system
JPH0567119A (en) 1991-07-12 1993-03-19 Hitachi Ltd Merchandise analyzing system
US5794219A (en) 1996-02-20 1998-08-11 Health Hero Network, Inc. Method of conducting an on-line auction with bid pooling
US5794207A (en) 1996-09-04 1998-08-11 Walker Asset Management Limited Partnership Method and apparatus for a cryptographically assisted commercial network system designed to facilitate buyer-driven conditional purchase offers
US5592378A (en) 1994-08-19 1997-01-07 Andersen Consulting Llp Computerized order entry system and method
US5724521A (en) 1994-11-03 1998-03-03 Intel Corporation Method and apparatus for providing electronic advertisements to end users in a consumer best-fit pricing manner
US5915209A (en) 1994-11-21 1999-06-22 Lawrence; David Bond trading system
JPH08161412A (en) 1994-12-07 1996-06-21 Oak Net:Kk Auction information transmitting and processing system
US5745882A (en) 1995-01-09 1998-04-28 Us West Marketing Resources Group, Inc. Electronic classified advertising interface method and instructions with continuous search notification
US5729700A (en) 1995-02-24 1998-03-17 Meyer Melnikoff Methods and apparatus for facilitating execution of asset trades based on nonnegative investment risk, using overlapping time periods
US5765143A (en) 1995-02-28 1998-06-09 Triad Systems Corporation Method and system for inventory management
US5845265A (en) 1995-04-26 1998-12-01 Mercexchange, L.L.C. Consignment nodes
US5845266A (en) 1995-12-12 1998-12-01 Optimark Technologies, Inc. Crossing network utilizing satisfaction density profile with price discovery features
US5640569A (en) 1995-04-28 1997-06-17 Sun Microsystems, Inc. Diverse goods arbitration system and method for allocating resources in a distributed computer system
US5615109A (en) * 1995-05-24 1997-03-25 Eder; Jeff Method of and system for generating feasible, profit maximizing requisition sets
US5826244A (en) 1995-08-23 1998-10-20 Xerox Corporation Method and system for providing a document service over a computer network using an automated brokered auction
US5809144A (en) 1995-08-24 1998-09-15 Carnegie Mellon University Method and apparatus for purchasing and delivering digital goods over a network
US5806047A (en) 1995-09-25 1998-09-08 Metlife Life Insurance Company System for combined pool portfolio
US5758327A (en) 1995-11-01 1998-05-26 Ben D. Gardner Electronic requisition and authorization process
JP3133243B2 (en) 1995-12-15 2001-02-05 株式会社エヌケーインベストメント Online shopping system
US5905975A (en) 1996-01-04 1999-05-18 Ausubel; Lawrence M. Computer implemented methods and apparatus for auctions
US6026383A (en) 1996-01-04 2000-02-15 Ausubel; Lawrence M. System and method for an efficient dynamic auction for multiple objects
US6119101A (en) 1996-01-17 2000-09-12 Personal Agents, Inc. Intelligent agents for electronic commerce
US5758328A (en) 1996-02-22 1998-05-26 Giovannoli; Joseph Computerized quotation system and method
US5799284A (en) 1996-03-13 1998-08-25 Roy E. Bourquin Software and hardware for publishing and viewing products and services for sale
US5950176A (en) 1996-03-25 1999-09-07 Hsx, Inc. Computer-implemented securities trading system with a virtual specialist function
US5835896A (en) 1996-03-29 1998-11-10 Onsale, Inc. Method and system for processing and transmitting electronic auction information
US5940807A (en) 1996-05-24 1999-08-17 Purcell; Daniel S. Automated and independently accessible inventory information exchange system
US5890138A (en) 1996-08-26 1999-03-30 Bid.Com International Inc. Computer auction system
US6041308A (en) 1996-09-04 2000-03-21 Priceline.Com Incorporated System and method for motivating submission of conditional purchase offers
US6332129B1 (en) 1996-09-04 2001-12-18 Priceline.Com Incorporated Method and system for utilizing a psychographic questionnaire in a buyer-driven commerce system
US6510418B1 (en) 1996-09-04 2003-01-21 Priceline.Com Incorporated Method and apparatus for detecting and deterring the submission of similar offers in a commerce system
US20020178069A1 (en) 1996-09-04 2002-11-28 Walter G Hanchunk Dynamic quality control conditional purchase offer (cpo) management system
US5897639A (en) 1996-10-07 1999-04-27 Greef; Arthur Reginald Electronic catalog system and method with enhanced feature-based search
US6014644A (en) 1996-11-22 2000-01-11 Pp International, Inc. Centrally coordinated communication systems with multiple broadcast data objects and response tracking
US5797127A (en) 1996-12-31 1998-08-18 Walker Asset Management Limited Partnership Method, apparatus, and program for pricing, selling, and exercising options to purchase airline tickets
JPH10200575A (en) 1997-01-08 1998-07-31 Fujitsu Ltd On-line shopping system
US5895454A (en) 1997-04-17 1999-04-20 Harrington; Juliette Integrated interface for vendor/product oriented internet websites
US6067528A (en) 1997-06-19 2000-05-23 Breed; Craig A. Confidential market making system
US5956709A (en) 1997-07-28 1999-09-21 Xue; Yansheng Dynamic data assembling on internet client side
US6055504A (en) 1997-12-11 2000-04-25 International Business Machines Corporation Method and system for accommodating electronic commerce in a communication network capacity market
US6078897A (en) 1998-02-02 2000-06-20 Intraware, Inc. Method and apparatus for optimizing orders for goods or services to increase a discount
US5913210A (en) 1998-03-27 1999-06-15 Call; Charles G. Methods and apparatus for disseminating product information via the internet
US6035288A (en) 1998-06-29 2000-03-07 Cendant Publishing, Inc. Interactive computer-implemented system and method for negotiating sale of goods and/or services
US6076070A (en) 1998-07-23 2000-06-13 Cendant Publishing, Inc. Apparatus and method for on-line price comparison of competitor's goods and/or services over a computer network
EP1105813A4 (en) 1998-08-25 2001-10-10 Mobshop Inc On-line marketing system and method
AU2024100A (en) 1998-11-13 2000-06-05 Ensera, Inc. Electronic commerce search, retrieval and transaction system
AU1721400A (en) 1998-11-13 2000-06-05 Buyersedge.Com Inc. Electronic commerce search, retrieval and transaction system
US6141653A (en) 1998-11-16 2000-10-31 Tradeaccess Inc System for interative, multivariate negotiations over a network
US6260024B1 (en) * 1998-12-02 2001-07-10 Gary Shkedy Method and apparatus for facilitating buyer-driven purchase orders on a commercial network system
WO2000034841A2 (en) 1998-12-04 2000-06-15 Priceline.Com Incorporated Customer profit sharing conditional purchase offer (cpo) management system
AU2412300A (en) 1999-01-19 2000-08-07 Volumebuy, Inc. Public network-based order pooling system
WO2000043928A2 (en) 1999-01-22 2000-07-27 Icoop, Inc. Method and system for low volume buyers to aggregate purchasing power
AU2513100A (en) 1999-01-22 2000-08-07 Icoop, Inc. Method and system for buyer-initiated aggregating of buyers to obtain desired products at discounted prices
WO2000045318A1 (en) 1999-02-01 2000-08-03 Mobshop, Inc. Aggregating on-line purchase requests
EP1203333A4 (en) 1999-02-12 2002-07-17 James Grossman Correlated individual unit sales price reduction based on cumulative sales
US6101484A (en) * 1999-03-31 2000-08-08 Mercata, Inc. Dynamic market equilibrium management system, process and article of manufacture
US6934690B1 (en) 1999-07-06 2005-08-23 Vulcan Portals, Inc. System and method for extension of group buying throughout the internet
MXPA01012506A (en) * 2000-04-05 2002-07-30 American Express Travel Relate Interactive demand management.

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
No Search *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6915275B2 (en) 2001-06-07 2005-07-05 International Business Machines Corporation Managing customization of projects prior to manufacture in an electronic commerce system
US6965877B2 (en) 2001-06-07 2005-11-15 International Business Machines Corporation Brokering and facilitating consumer projects in an e-commerce system

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