System, method and computer program product for translating sales data in a supply chain management framework

• US 20030074285A1
• Filed: 03/23/2001
• Published: 04/17/2003
• Est. Priority Date: 03/23/2001
• Status: Abandoned Application

• Current Assignee: Restaurant Services Incorporated
• Original Assignee: Restaurant Services Incorporated
• Inventors: Sechrist, Daniel, Hoffman, George Harry, Burk, Michael James
• Application Number:
  US09/816,167
• Publication Number:
  US 20030074285A1
• Time in Patent Office: Days
• US Class Current: 705/30
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 40/12 Accounting

Abstract

A system, method and computer program product are disclosed for tracking the sale of goods in a store utilizing a network-based supply chain management framework. Data is received from a plurality of stores of a supply chain utilizing a network. This data relates to the sale of goods by the stores and is in a first format associated with the stores. This data is then sent from the stores to a supply chain manager utilizing the network where the data is translated into a second format associated with the supply chain manager.

Claims

1. A method for tracking the sale of goods in a store utilizing a network-based supply chain management framework, comprising:

a) receiving data from a plurality of stores of a supply chain utilizing a network, the data relating to the sale of goods by the stores, and being in a first format associated with the stores;

b) sending the data from the stores to a supply chain manager utilizing the network; and

c) translating the data to a second format associated with the supply chain manager.

2. The method of claim 1, wherein the stores include restaurants.

3. The method of claim 2, wherein the data in the first format includes daily totals.

4. The method of claim 3, wherein the daily totals reflect a price associated with the goods.

5. The method of claim 4, wherein the data in the second format includes monthly totals.

6. The method of claim 4, wherein the data in the second format includes a grouping of the goods.

7. A system for tracking the sale of goods in a store utilizing a network-based supply chain management framework, comprising:

a) logic for receiving data from a plurality of stores of a supply chain utilizing a network, the data relating to the sale of goods by the stores, and being in a first format associated with the stores;

b) logic for sending the data from the stores to a supply chain manager utilizing the network; and

c) logic for translating the data to a second format associated with the supply chain manager.

8. The system of claim 7, wherein the stores include restaurants.

9. The system of claim 8, wherein the data in the first format includes daily totals.

10. The system of claim 9, wherein the daily totals reflect a price associated with the goods.

11. The system of claim 10, wherein the data in the second format includes monthly totals.

12. The system of claim 10, wherein the data in the second format includes a grouping of the goods.

13. A computer program product for tracking the sale of goods in a store utilizing a network-based supply chain management framework, comprising:

a) computer code for receiving data from a plurality of stores of a supply chain utilizing a network, the data relating to the sale of goods by the stores, and being in a first format associated with the stores;

b) computer code for sending the data from the stores to a supply chain manager utilizing the network; and

c) computer code for translating the data to a second format associated with the supply chain manager.

14. The computer program product of claim 13, wherein the stores include restaurants.

15. The computer program product of claim 14, wherein the data in the first format includes daily totals.

16. The computer program product of claim 15, wherein the daily totals reflect a price associated with the goods.

17. The computer program product of claim 16, wherein the data in the second format includes monthly totals.

18. The computer program product of claim 16, wherein the data in the second format includes a grouping of the goods.