Automated transaction processing system and approach

• US 8,069,054 B2
• Filed: 02/16/2009
• Issued: 11/29/2011
• Est. Priority Date: 05/10/2002
• Status: Expired due to Fees

• Current Assignee: Syncada LLC (US Bancorp)
• Original Assignee: Syncada LLC (US Bancorp)
• Inventors: Armstrong, Kevin M., Hahn-Carlson, Dean W., Langer, Richard G., Xie, Weiwen
• Primary Examiner(s): JABR, FADEY S
• Application Number:
  US12/371,847
• Publication Number:
  US 20090150304A1
• Time in Patent Office: 1,016 Days
• Field of Search: 705/1.1, 705/330, 705/400
• US Class Current: 705/1.1
• CPC Class Codes: G06Q 10/083 Shipping
• CPC Class Codes: G06Q 30/018 Certifying business or products
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

Transaction management for contract and contract-related approaches is facilitated. According to an example embodiment of the present invention, a transaction management computer is programmed to automatically set contract terms for a transaction based on business rules previously established between parties to a transaction. In one implementation, the transaction management node automatically derives a contract term including a pricing-related term for a transaction between a buyer and seller using contract information therefor. In one instance, previously-agreed-upon price approaches, such as fixed pricing, seller-controlled pricing, quantity-related tiered pricing and pricing management schemes are stored and used by the transaction management node to automatically derive the prices. With these approaches, pricing disputes that can occur after a transaction has been processed are reduced and/or eliminated.

Claims

1. A system comprising:

a data storage circuit including a cross-correlation database that stores data for subsequent retrieval by the data storage circuit and processing by an integrated, electronic supply chain processing computer engine, the data including

respective sets of first data corresponding to disparate and separately-operating entity participants, and

respective sets of second data corresponding to contract terms established by transaction participants for multiple active transactions involving the disparate and separately-operating entity participants, and

a plurality of algorithms, each of the plurality of algorithms operating on

first data, from the sets of the first data, corresponding to at least two of the disparate and separately-operating entity participants, and

second data, from the sets of the second data, including

previously-negotiated parameters corresponding to prospective transactions, each prospective transaction involving said at least two of the disparate and separately-operating entity participants, and

variable parameters that impact prices for the multiple transactions; and

a computer-based data processor, configured for performing the following steps for each prospective transaction,

selecting one of the plurality of algorithms,

from an applicable set of previously-negotiated parameters, selecting previously-negotiated parameters for execution by the selected one of the plurality of algorithms,

retrieving current transaction data that corresponds to a parameter in the set of variable parameters on which the selected one of the plurality of algorithms operates,

executing the selected one of the plurality of algorithms with the selected previously-negotiated parameters and with retrieved active transaction data to automatically derive a new term,

assessing for validation said one of the prospective transactions for the current transaction with the new term at least partly defining a price for the current transaction and,

in the event that said one of the prospective transactions is validated for the current transaction, generating payment data based on the price, and

in the event that said one of the prospective transactions is not validated for the current transaction, generating exception data that identifies a reason that the prospective transaction is not to be validated.

2. The system of claim 1, wherein the computer-based data processor is a computer processor circuit configured for selecting one of the plurality of algorithms by selecting an algorithm that operates on first data including different sets of rule data respectively corresponding to disparate and separately-operating entity participants for the current transaction.

3. An automated pricing system for use by remotely-located buyers and sellers who provide respective sets of electronic business rules data for transaction data to be processed by the automated pricing system, the automated pricing system comprising:

a correlation database that stores transaction party identification data, business rules data for each transaction party, contract data specifying contract terms defined by parties to each transaction to which the transaction data pertains, and correlation data for correlating transaction data sets with the identification data, business rules data and contract data, the contract terms including previously-negotiated parameters corresponding to prospective transactions between parties including at least one buyer and seller, and variable parameters that impact prices for the multiple transactions; and

a computer and communications circuit, including a software-programmed computer configured to, for each received transaction data set and a transaction to which the data set applied,

use the data stored in the correlation database to correlate the transaction data set with business rules data and contract data for parties to the transaction,

select one of a plurality of algorithms that operate on the business rules data and the contract term-defined parameters stored in the correlation database for the correlated buyer and seller,

execute the selected algorithm, using the previously-negotiated parameters and variable parameters for the buyer and seller as inputs, to derive an electronic price term that sets a price for the transaction, and

audit the set price against at least one of;

the business rules data for the buyer, the business rules data for the seller, and the contract terms to validate the set price.

4. The system of claim 3, wherein the computer and communications circuit is configured to

validate correlated contract data against correlated business rules for at least one of the parties to a particular transaction to determine that the contract data is valid, and

execute the selected algorithm to derive an electronic price term by executing the algorithm in response to the contract data being validated.

5. The system of claim 3, wherein the computer and communications circuit is configured to

validate correlated contract data against correlated business rules defining an effective data and an expiration data for the contract data, and

execute the selected algorithm to derive an electronic price term by executing the algorithm in response to the contract data being validated.

6. The system of claim 3, further including an interface circuit configured and arranged to

receive proposed product-pricing data from a seller,

provide the product-pricing data to at least one potential buyer, and

upon acceptance by a potential buyer, store the accepted product-pricing data as part of the contract data in the correlation database for use in deriving an electronic price term for a transaction involving the buyer and seller.

7. The system of claim 3, wherein the computer and communications circuit is programmed to control remote secure access to the correlation database for electronically transmitting business rules data from remote data entry terminals over a public communications network.

8. The system of claim 3, wherein the computer and communications circuit is configured to

match transaction-party product identifiers in the transaction data sets with product identifiers for different transaction parties,

use the matched product identifiers to identify contract terms applicable to the identifiers, and

execute the selected algorithm to derive the electronic price term by executing the algorithm with the identified contract terms applicable to the identifiers.

9. The system of claim 3, wherein the computer and communications circuit

includes a pricing engine configured to identify different sellers that respectively provide seller offerings defined in the transaction data set, and to select one of the sellers to provide the seller offerings based upon stored contract data for the selected seller identifying a lower relative price for the seller offerings, and

correlates the transaction data set with business rules for the selected seller.

10. The system of claim 3, wherein

the correlation database stores business rules data that include compliance data that must be met before making the transaction payable, and

the computer and communications circuit is configured to audit the set price against the compliance information to validate the set price.

11. The system of claim 3, wherein the computer and communications circuit includes a collaborative contracts computer processor that is configured to automatically set variable pricing parameters by which pricings of purchases of seller offerings in the transaction data sets are made, using correlated contract data including transaction pricing information from at least one of the buyer and the seller.

12. The system of claim 3, wherein the computer and communications circuit

is configured to correlate the transaction data set with a buyer organization in which a buyer in the transaction participates, and

includes a collaborative contracts computer processor that is configured to automatically set variable pricing parameters by which pricings of purchases of seller offerings in the transaction data sets are made, using correlated nested contract data including base sell price data for a manufacturer'"'"'s contract with the buying organization, and a buyer'"'"'s contract with the buying organization for said item.

13. The system of claim 3, wherein the computer and communications circuit is configured to

correlate the transaction data set with a buyer organization in which a buyer in the transaction participates, and

execute the selected algorithm using markup variables specifying a markup to add to a base sell price for the items specified via the transaction data.

14. The transaction system of claim 3, wherein the computer and communications circuit is configured to cross-reference product identifiers in the transaction data with different product identifiers for a party to the transaction, and to use the cross-referenced product identifiers to correlate the transaction data set with business rules data and contract data.

15. The system of claim 3, wherein the computer and communications circuit is configured to use the correlated rules data to automatically negotiate payment terms of seller offerings identified in the transaction data set in response to a buyer-input request for a change in payment terms.

16. The system of claim 3, wherein the computer and communications circuit is configured to correlate the transaction data set with contract data by searching the correlation database to identify a contract meeting search criteria for at least one of the buyer and seller for the transaction.

17. A computer-based data processing method comprising:

storing sets of data in a cross-correlation database for subsequent processing by an integrated, electronic supply chain processing computer engine, including storing

respective sets of business rules of disparate and separately-operating entity participants for implementing transactions therebetween,

respective sets of contract data corresponding to contract terms useful for executing multiple transactions involving the disparate and separately-operating entity participants, each set of contract data including previously-negotiated parameters corresponding to prospective transactions, and

correlation data for correlating sets of transaction data with a set of contract data and a set of business rules for a participant,

in an integrated, electronic supply chain processing engine, using a software-programmed computer to, for each active transaction involving at least two of the disparate and separately-operating entity participants and pertaining to one of the sets of contract data,

control and access the cross-correlation database to retrieve a set of the business rules for at least one of the participants using the correlation data to correlate the contract data to the business rules,

execute a selection algorithm with the correlation data to select, from the cross-correlation database, previously-negotiated parameters and a price-impacting variable parameter for the active transaction based upon the contract data, and to control and access the cross-correlation database to retrieve the selected parameters,

based upon the retrieved set of business rules, select and execute one of a plurality of algorithms to derive a new price term, using the selected previously-negotiated parameters and price-impacting variable parameter as variable inputs to the algorithm, and to set a price for the active transaction based upon the derived price term, and

generate an electronic payment instruction for an electronic payment network identified by the business rules, based upon the derived price term, and communicate the electronic payment instruction to the identified electronic payment network.

18. The method of claim 17, wherein using the software-programmed computer to select and execute one of a plurality of algorithms includes using the software-programmed computer to select an algorithm that operates, at a single computer processor, on data including different sets of rule data respectively corresponding to disparate and separately-operating entity participants for the active transaction.

19. The method of claim 17, further including using the software-programmed computer to select an auditing algorithm based upon at least one party to the transaction and to execute the auditing algorithm to audit the set price against business rules for one of the participants.