Supply chain architecture

• US 20020194057A1
• Filed: 08/15/2002
• Published: 12/19/2002
• Est. Priority Date: 01/12/2000
• Status: Active Grant

• Current Assignee: Derek Lidow
• Original Assignee: Derek Lidow
• Inventors: Lidow, Derek
• Granted Patent: US 7,003,474 B2
• Time in Patent Office: Days
• US Class Current: 705/7.31
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• 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 10/0637 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 10/06375 Prediction of business process outcome or impact based on a proposed change
• 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 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

A supply chain network where customers, suppliers, logistics providers, carriers, and financial institutions are all connected to a centralized supply chain server. The server receives forecasts from the customers detailing the orders that the customers desire. These forecasts are analyzed by the supply chain server to ensure that they conform to contractual agreements and do not contain errors. The forecasts are also used to warn the suppliers of future demands so that the suppliers can anticipate demands and plan inventory accordingly. The supply chain server checks with the suppliers to determine whether the forecasts can fulfilled by the suppliers. If the forecasts cannot be fulfilled by the suppliers, the supply chain server contacts customers and suppliers and attempts to either redistribute the customers'"'"' demands to different suppliers or request that customers alter their demands. Once supplier demand issues are resolved, the forecasts are sent to the suppliers in groups so that the suppliers need to prepare a smaller number of large orders. The supply chain server also controls the processes involved in distributing the product from the suppliers to the customers including the generation and payment of invoices. A form of financing the customers'"'"' purchases, made possible by the novel supply chain architecture, is also disclosed.

Claims

1. A method for processing customer demands for products in a supply chain network, the method comprising:

receiving forecasted demands from a plurality of customers;

accumulating the forecasted demands thereby producing an accumulated forecast;

sending the accumulated forecast to at least one supplier;

sending products corresponding to the accumulated forecast from the at least one supplier to a cross-dock point;

assembling the products at the cross-dock point based upon particular customers who produced the forecasted demands; and

sending corresponding products to the particular customers who produced the forecasted demands.

2. The method as recited in claim 1, further comprising providing tracking information relating to the products, to at least one of the customer and the supplier.

3. The method as claimed in claim 2, wherein the tracking information is provided by producing a web site accessible by at least one of the customer and the supplier.

4. The method as recited in claim 2, wherein the tracking information includes movement of the products before the cross-dock point.

5. The method as recited in claim 2, wherein the tracking information includes movement of the products after the cross-dock point.

6. The method as recited in claim 2, wherein the tracking information includes movement of the products through potential bottlenecks.

7. The method as recited in claim 6, wherein the potential bottlenecks includes customs.

8. The method as recited in claim 1, wherein the potential bottlenecks includes the cross-dock point.

9. The method as recited in claim 1, wherein the cross-dock point is specified by the particular customers.

10. The method as recited in claim 1, wherein the accumulating includes grouping together customer demands for products which are substantially interchangeable.

11. The method as recited in claim 1, wherein the sending products and the assembling the products results in the at least one supplier saving time in managing the forecasted demands.

12. The method as recited in claim 1, further comprising comparing the products at the cross-dock with the accumulated forecast.

13. The method as recited in claim 12, further comprising, if the comparing indicates that the products at the cross-dock and the accumulated forecast do not match, determining if the products at the cross-dock represent an over-shipment or an under-shipment.

14. The method as recited in claim 13, further comprising, when the products at the cross-dock represent an over-shipment, determining a disposition of products at the cross-dock in excess of the accumulated forecast.

15. The method as recited in claim 13, further comprising, when the products at the cross-dock represent an under-shipment, allocating available supply of the products among the particular customers who produced the accumulated forecast.

19. The system as recited in claim 18, wherein the supply chain server further comprises an extranet manager which provides tracking information relating to the products.

20. The system as recited in claim 19, wherein the extranet manager provides the tracking information by producing a web site accessible to at least one of the customer and the supplier.

21. The system as recited in claim 20, wherein the tracking information includes movement of the products before the cross-dock point.

22. The system as recited in claim 20, wherein the tracking information includes movement of the products after the cross-dock point.

23. The system as recited in claim 20, wherein the tracking information includes movement of the products through potential bottlenecks.

24. The system as recited in claim 23, wherein the potential bottlenecks includes customs.

25. The system as recited in claim 24, wherein the potential bottlenecks includes the cross-dock point.

26. The system as recited in claim 25, wherein the cross-dock point is specified by the particular customers.

27. The system as recited in claim 18, wherein the ERP system accumulates the forecasted demands by grouping together customer demands for products which are substantially interchangeable.

28. The system as recited in claim 18, wherein the ERP system controlling the sending of the products and the assembling of the products results in the at least one supplier saving time in managing the forecasted demands.

29. The system as recited in claim 18, wherein the supply chain server further comprises a planner tool which compares the products at the cross-dock with the accumulated forecast.

30. The system as recited in claim 29, wherein, if the planner tool indicates that the products at the cross-dock and the accumulated forecast do not match, the planner tool determines if the products at the cross-dock represent an over-shipment or an under-shipment.

31. The system as recited in claim 30, wherein when the products at the cross-dock represent an over-shipment, the planner tool determines a disposition of products at the cross-dock in excess of the accumulated forecast.

32. The system as recited in claim 30, wherein when the products at the cross-dock represent an under-shipment, the planner tool allocates available supply of the products among the particular customers who produced the accumulated forecast.

16. A method for processing customer demands received in a supply chain network, the method comprising:

receiving forecasted demands from a plurality of customers by a supply chain server;

aggregating the forecasted demands into an aggregated forecast; and

sending the aggregated forecast from the supply chain server to at least one supplier.

17. A method for processing customer demands for products in a supply chain network, the method comprising:

receiving the customer demands;

aggregating the customer demands to produce an aggregated demand;

sending the aggregated demand to at least one supplier;

sending products corresponding to the aggregated demand from the at least one supplier to a cross-dock point;

assembling the products at the cross-dock point based upon particular customers who produced the customer demands; and

sending corresponding products to the particular customers who produced the customer demands.

18. A system for processing customer demands for products, the system comprising:

a supply chain server coupled to at least one customer, at least one supplier, and a logistics provider, the supply chain server including a messaging services system and an ERP system;

wherein

the messaging services system receives forecasted demands from a plurality of customers;

the ERP system accumulates the forecasted demands thereby producing an accumulated forecast;

the messaging services system sends the accumulated forecast to at least one supplier;

the ERP system controls the logistics provider to transfer products corresponding to the accumulated forecast from the at least one assemble supplier to a cross-dock point;

the ERP system further controls the logistics provider to assemble the products at the cross-dock point based upon particular customers who produced the forecasted demands; and

the ERP system controls the logistics provider to send corresponding products to the particular customers who produced the forecasted demands.

33. A system for processing customer demands received in a supply chain network, the supply chain network including a supply chain server coupled to at least one customer and at least one supplier, the supply chain server including a messaging services system and an ERP system;

wherein;

the messaging system receives forecasted demands from a plurality of the customers;

the ERP system aggregates the forecasted demands into an aggregated forecast; and

the messaging system sends the aggregated forecast to at least one supplier.

34. A system for processing customer demands for at least one product, the system comprising:

a supply chain server coupled to at least one customer, at least one supplier, and a logistics provider, the supply chain server including a messaging services system and an ERP system;

wherein

the messaging services system receives the customer demands;

the ERP system aggregates the customer demands thereby producing an aggregated demand;

the messaging services system sends the aggregated demand to at least one supplier;

the ERP system controls the logistics provider to transfer products corresponding to the aggregated demand from the at least one supplier to a cross-dock point;

the ERP system further controls the logistics provider to assemble the products at the cross-dock point based upon particular customers who produced the customer demands; and

the ERP system controls the logistics provider to send corresponding products to the particular customers who produced the customer demands.