System, method and computer program product for network-based supply chain forecasting

• US 20030065550A1
• Filed: 03/23/2001
• Published: 04/03/2003
• 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
• Application Number:
  US09/816,021
• Publication Number:
  US 20030065550A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

A system, method and computer program product are disclosed for forecasting the sale of goods in a store utilizing a network-based supply chain management framework. Data relating to a supply chain is collected. The selection of one or more of a plurality of points in the supply chain is also allowed so that the data for the selected point in the supply chain may be analyzed. Based on this analysis, a forecast is made of one or more aspects of the supply chain at the selected point in the supply chain.

Claims

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

a) collecting data relating to a supply chain;

b) allowing the selection of at least one of a plurality of points in the supply chain;

c) analyzing the data for the selected point in the supply chain; and

d) forecasting at least one aspect of the supply chain at the selected point in the supply chain based on the analysis.

2. The method of claim 1, wherein at least one of the points includes a store.

3. The method of claim 2, wherein the data reflects a sale of goods in the store.

4. The method of claim 1, wherein at least one of the points includes a supplier.

5. The method of claim 1, wherein at least one of the points includes a distributor.

6. The method of claim 1, wherein the forecast is displayed utilizing a network-based interface.

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

a) logic for collecting data relating to a supply chain;

b) logic for allowing the selection of at least one of a plurality of points in the supply chain;

c) logic for analyzing the data for the selected point in the supply chain; and

d) logic for forecasting at least one aspect of the supply chain at the selected point in the supply chain based on the analysis.

8. The system of claim 7, wherein at least one of the points includes a store.

9. The system of claim 8, wherein the data reflects a sale of goods in the store.

10. The system of claim 7, wherein at least one of the points includes a supplier.

11. The system of claim 7, wherein at least one of the points includes a distributor.

12. The system of claim 7, wherein the forecast is displayed utilizing a network-based interface.

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

a) computer code for collecting data relating to a supply chain;

b) computer code for allowing the selection of at least one of a plurality of points in the supply chain;

c) computer code for analyzing the data for the selected point in the supply chain; and

d) computer code for forecasting at least one aspect of the supply chain at the selected point in the supply chain based on the analysis.

14. The computer program product of claim 13, wherein at least one of the points includes a store.

15. The computer program product of claim 14, wherein the data reflects a sale of goods in the store.

16. The computer program product of claim 13, wherein at least one of the points includes a supplier.

17. The computer program product of claim 13, wherein at least one of the points includes a distributor.

18. The computer program product of claim 13, wherein the forecast is displayed utilizing a network-based interface.