Method for automatically identifying, matching, and near-matching buyers and sellers in electronic market transactions

• US 6,131,087 A
• Filed: 11/05/1998
• Issued: 10/10/2000
• Est. Priority Date: 11/05/1997
• Status: Expired due to Term

• Current Assignee: The Planning Solutions Group, Inc.
• Original Assignee: The Planning Solutions Group, Inc.
• Inventors: Sweeney, Sue-Anne M., Luke, James O., Fischer, Mark L.
• Primary Examiner(s): Lintz, Paul R.
• Assistant Examiner(s): Hayes, John W.
• Application Number:
  US09/186,764
• Time in Patent Office: 705 Days
• Field of Search: 705/26, 705/53, 705/75, 705/80, 705/10, 705/27, 705/37, 705/400, 705/20, 395/671
• US Class Current: 705/80
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0613 Third-party assisted
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/188 Electronic negotiation

Abstract

A computer implemented method for market participants for automatically identifying and matching offer data with solicitation data, the solicitation data stored in a solicitations data base, the method comprising the steps of: receiving offer data consisting of numerical linear ranges defining a lower point, an upper point, and a preferred point for each dimension of the offer data storing the received offer data in a database; comparing points for each dimension of the stored offer data to corresponding dimensions of the solicitation data to: identify solicitations with matching preferred points, identify solicitations with preferred points having a near match with the offer data when the upper point and the preferred point of the offer data are between the upper point and the preferred point of the solicitation data, and identify solicitations with preferred points within corresponding ranges to the offer data when at least one of the lower point, the upper point, and the preferred point of the offer data is between the lower point and the upper point of the solicitation data; transmitting the identified solicitations with matching preferred points, near matching preferred points, and preferred points within corresponding ranges to originator of the offer data.

Claims

1. A computer implemented method for market participants for automatically identifying and matching offer data with solicitation data, said solicitation data stored in a solicitations data base, said method comprising the steps of:

receiving offer data consisting of numerical linear ranges defining a lower point, an upper point, and a preferred point for each dimension of said offer data;

storing the received offer data in a database;

comparing points for each dimension of the stored offer data to corresponding dimensions of said solicitation data, said solicitation data consisting of numerical linear ranges defining a lower point, an upper point, and a preferred point for each dimension of said solicitation data, to;

identify solicitations with matching preferred points,

identify solicitations with preferred points having a near match with said offer data when said upper point and said preferred point of said offer data are between said upper point and said preferred point of said solicitation data, and

identify solicitations with preferred points within corresponding ranges to said offer data when at least one of said lower point, said upper point, and said preferred point of said offer data is between said lower point and said upper point of said solicitation data;

transmitting the identified solicitations with matching preferred points, near matching preferred points, and preferred points within corresponding ranges to an originator of said offer data.

2. The computer implemented method of claim 1, further comprising the steps of:

completing bargaining by receiving from originator of said offer data acceptance of one of the transmitted solicitations;

confirming transaction terms arising from the completed bargaining;

storing the confirmed transaction terms in an archive;

analyzing logistics and finance requirements imbedded in the confirmed transaction terms;

routing said logistics and finance requirements to logistics and finance vendors; and

purging the solicitation database of the solicitations comprising the confirmed transaction terms arising from said completed bargaining process.

3. The computer implemented method of claim 2, further comprising the steps of:

receiving a counter-offer to one of the transmitted solicitations from originator of said offer data;

transmitting the received counter-offer to originator of the chosen solicitation;

completing bargaining by receiving acceptance of the transmitted counter-offer from originator of the chosen solicitation;

confirming transaction terms arising from the completed bargaining;

storing the confirmed transaction terms in an archive;

analyzing logistics and finance requirements imbedded in the confirmed transaction terms;

routing said logistics and finance requirements to logistics and finance vendors; and

purging the solicitation database of the solicitations comprising the confirmed transaction terms arising from said completed bargaining process.

4. The computer implemented method of claim 1, wherein said market participants submit said offer data and said solicitation data through market participant interfaces executed on a computer, said market participant interfaces translating said offer data and said market data by formatting it into uniform, multidimensional, data objects.

5. The computer implemented method of claim 1, further comprising the steps of:

verifying offer data against market participant account information stored in an account registry;

accepting said offer data into said solicitation database;

matching said offer data with stored solicitation data containing congruent dimension ranges and preferred points;

matching said offer data with stored solicitation data containing congruent dimension ranges and incongruent preferred points;

matching said offer data with stored solicitation data containing intersecting dimension ranges and incongruent preferred points; and

ranking the matched data in order proximity between dimension ranges of said stored solicitation data and preferred points of said offer data.

6. The computer implemented method of claim 1, further comprising the steps of:

displaying matching solicitation data to originator of said offer data;

accepting from originator of said offer data a message identifying a corresponding offer over which to negotiate;

notifying originator of the displayed matching solicitation data of said corresponding offer over which to negotiate from originator of said offer data;

accepting a response from originator of the displayed solicitation data; and

notifying said originator of said offer data of willingness of originator of the displayed solicitation data to negotiate.

7. The computer implemented method of claim 6, further comprising the steps of:

transmitting counteroffers between originator of said offer data and originator of the displayed solicitation;

accepting a signal from originator of said offer data and originator of the displayed solicitation indicating agreement upon terms and formation of a contract;

transmitting confirmation notices to an agent for originator of said offer data and an agent for originator of the displayed solicitation;

accepting acknowledgement of the transmitted confirmation notices from said agents;

assigning a unique identification number to said contract; and

storing said contract in an archive database.

8. The computer implemented method of claim 7, further comprising the steps of:

isolating logistics components of said contract;

analyzing dimensions of the isolated logistics components;

labeling the analyzed dimensions with said unique identification number of said contract;

formatting the labeled analyzed dimensions into a multidimensional logistics offer object;

routing said multidimensional logistics offer object to a logistics gateway; and

exporting said multidimensional logistics offer object through said logistics gateway to a logistics vendor.

9. The computer implemented method of claim 8, further comprising the steps of:

isolating finance components of said contract;

analyzing dimensions of the isolated finance components;

labeling the analyzed dimensions with said unique identification number of said contract;

formatting the labeled analyzed dimensions into a multidimensional finance offer object;

routing said multidimensional finance offer object to a finance gateway; and

exporting said multidimensional finance offer object through said finance gateway to a finance vendor.

10. A computer implemented system for identifying and matching buyers and sellers in electronic market transactions, the system comprising:

a solicitation database containing solicitation data comprising;

a party component, a product component, a logistics component, and a finance component, each component having multiple dimensions and each of said multiple dimensions expressed in a linear numeric scale;

a participant interface enabling buyers and sellers to enter data into said solicitation database;

an account registry linked to said solicitation database containing account information of said buyers and sellers, said account information comprising;

account holder identification, bank information, and authorization agents;

an archive database linked to said solicitation database and linked to said account registry for storing transaction contracts resulting from matching buyers and sellers and related contract logistics information derived from solicitation data and account information for said matching buyers and sellers;

a computer means automatically matching buyers and sellers according to congruence of preferred points plotted along dimensions of components of said solicitation data; and

a system gateway routing contract logistic information to buyers, sellers, and third parties.

11. The computer implemented system of claim 10, where said participant interface translates data in buyer or seller formatting into system-readable data.

12. The computer implemented system of claim 10, where said participant interface also enables buyers and sellers to query said solicitation database without submitting solicitation data.

13. The computer implemented system of claim 10, where said product component identifies a product chosen from the group consisting of tangible goods, services, requests for proposals, and requests of quotes.

14. A system for facilitating transactions between participants comprising:

a gateway computer;

an interface connected to said gateway computer for receiving multidimensional offer data and multidimensional solicitation data from and sending said solicitation data and transaction data to said participants, at least one dimension of each of said offer data and said solicitation data having an upper point, a lower point and a preferred point;

an account registry database connected to said gateway computer for storing account information for each of said participants;

a solicitation database connected to said gateway computer for storing said solicitation data received from said participants; and

computing means connected to said gateway computer, said account registry database and said solicitation database for matching said offer data with said solicitation data from said participants by comparing said dimensions.

15. The system for facilitating transactions of claim 14, where matching solicitation data is a perfect match between preferred points plotted along all dimensions of components of said solicitation data.

16. The system for facilitating transactions of claim 14, where matching solicitation data is a near match of preferred points plotted along all dimensions of components of said solicitation data.

17. The system for facilitating transactions of claim 14, where said computing means, said account registry database, and said solicitation database are all mounted on said gateway computer.

18. The system for facilitating transactions of claim 14, where matching solicitation data is solicitations with preferred points within corresponding ranges of said offer data.

19. The system for facilitating transactions of claim 14, where matching solicitation data is ranked in order of proximity between dimension ranges of said solicitation data and preferred points of said offer data.