Method and system for supplier relationship management

• US 20020069096A1
• Filed: 06/22/2001
• Published: 06/06/2002
• Est. Priority Date: 06/22/2000
• Status: Abandoned Application

• Current Assignee: Fountainhead Finance LLC
• Original Assignee: Fountainhead Finance LLC
• Inventors: Sawabini, Stuart, Lindoerfer, Paul
• Application Number:
  US09/885,931
• Publication Number:
  US 20020069096A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 10/06395 Quality analysis or management
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Provided herein is a secure Internet electronic commerce solution for buyers/manufacturers (hereafter “manufacturers”) and their respective vendors/suppliers (hereafter “suppliers”). The embodiments of the present invention provide an inter-enterprise business application or supplier relationship management system (“SRMS”) including tools that allow trading partners to collaboratively manage and optimize the execution of the supply chain management process. Further, the embodiments of the present invention provide benefits to both the manufacturer and the manufacturer'"'"'s suppliers. The manufacturer benefits from greater supply chain efficiency arising from more comprehensive, accurate, and timely information, and from the cost savings afforded by having more suppliers connected electronically. The suppliers benefit from having a simple and inexpensive method of connecting with their manufacturing customer and from business applications that aid them in understanding and managing their supply chain requirements.

Claims

1. A system for normalizing at least one output data structure comprising:

a first server for receiving supply chain data in multiple data structures from multiple users;

a first application for extracting supply chain data from the multiple data structures;

a database for storing supply chain data in data fields within the database, wherein the supply chain data within the data fields is configurable by each of the multiple users according to the supply chain requirements of each of the multiple users;

a second server for retrieving from the database supply chain data from at least one of the data fields upon request from a requester, wherein the requestor is selected from the group consisting of at least one of the multiple users and at least one other user;

a second application for formatting the requested supply chain data into at least one output data structure;

a device for providing the requested supply chain data in the at least one output data structure, wherein the at least one output data structure is the same independent of the requestor, such that the at least one output data structure is normalized.

2. The system according to claim 1, wherein the multiple users are manufacturers.

3. The system according to claim 1, wherein the multiple users are a combination of manufacturers and suppliers.

4. The system according to claim 1, wherein the supply chain data includes at least one of the group consisting of product specification information, service specification information, quantity information, quality information, delivery information, and cost information.

5. The system according to claim 2, wherein the at least one other user is a supplier.

6. The system according to claim 1, wherein the supply chain data includes at least one of the group consisting of product description information, service description information, product availability information, service availability information, price information, and shipping information.

7. The system according to claim 1, wherein the multiple users are employees of a single manufacturer.

8. The system according to claim 7, wherein the at least one other user is a supplier.

9. The system according to claim 1, wherein the at least one output data structure is a display data structure.

10. The system according to claim 9, wherein the display data structure includes a search mechanism for searching the supply chain data displayed through the display data structure according to search criteria.

11. The system according to claim 10, wherein the search criteria include the identity of the multiple users and the at least one other user.

12. The system according to claim 9, wherein the display data structure is dynamically altered in response to at least one user input, wherein the at least one user input facilitates the manipulation of supply chain data.

13. The system according to claim 1, wherein the first server and the second server are the same server.

16. The process according to claim 15, wherein the supply chain data includes at least one of the group consisting of product requirements, service requirements, quantity requirements, quality requirements, delivery requirements, and cost requirements.

17. The process according to claim 15, wherein the multiple users are manufacturers.

18. The process according to claim 15, wherein the multiple users are a combination of manufacturers and suppliers.

19. The process according to claim 15, wherein the supply chain data includes at least one of the group consisting of product specification information, service specification information, quantity information, quality information, delivery information, and cost information.

20. The process according to claim 17, wherein the at least one other user is a supplier.

21. The process according to claim 15, wherein the multiple users are employees of a single manufacturer.

22. The process according to claim 21, wherein the at least one other user is a supplier.

23. The process according to claim 15, further comprising:

dynamically altering the output data structure in response to at least one user input, wherein the at least one user input facilitates the manipulation of supply chain data; and

providing the result of the manipulation of the output data structure in an altered output data structure.

14. A system for normalizing at least one output data structure comprising:

means for receiving supply chain data in multiple data structures from multiple users;

means for extracting supply chain data from the multiple data structures;

means for storing supply chain data in data fields within a database, wherein the supply chain data is configurable by each of the multiple users according to the supply chain requirements of each of the multiple users;

means for retrieving from the database, supply chain data from at least one of the data fields upon request from a requester, wherein the requester is selected from the group consisting of at least one of the multiple users and at least one other user;

means for formatting the requested supply chain data into at least one output data structure;

means for providing the requested supply chain data in the at least one output data structure, wherein the at least one output data structure is the same independent of the requestor, such that the at least one output data structure is normalized.

15. A process for normalizing at least one output data structure comprising:

receiving supply chain data in multiple data structures from multiple users, wherein each of the multiple data structures is unique to one of the multiple users;

extracting the supply chain data from each of the multiple data structures;

comparing the extracted supply chain data to data fields within a database, wherein the supply chain data is configurable by each of the multiple users according to the supply chain requirements of each of the multiple users;

storing the extracted supply chain data in a matching data field within the database;

retrieving the extracted supply chain data from the matching data field, within the database, in response to a request to view the extracted supply chain data made by a requester, wherein the requestor is selected from the group consisting of at least one of the multiple users and at least one other user; and

providing the extracted supply chain data in at least one output data structure, wherein the at least one output data structure is the same regardless of the identity of the requester, such that the at least one output data structure is normalized for all requesters.