Data mining techniques for enhancing regional product allocation management

• US 20040064359A1
• Filed: 07/17/2003
• Published: 04/01/2004
• Est. Priority Date: 08/07/2000
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Levanoni, Menachem, Kurtzberg, Jerome M.
• Application Number:
  US10/620,441
• Publication Number:
  US 20040064359A1
• Time in Patent Office: Days
• US Class Current: 705/10
• 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
• CPC Class Codes: Y10S 707/944 Business related
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

A computer method for enhancing regional product allocation management. The method includes the steps of providing a demand database comprising a compendium of individual demand history; providing a supply database comprising a compendium of at least one of regional product allocation management solutions, regional product allocation information, and regional product allocation diagnostics; and, employing a data mining technique for interrogating the demand and supply databases for generating an output data stream, the output data stream correlating demand problem with supply solution.

Claims

1. A computer method comprising the steps of:

i) providing a demand database comprising a compendium of individual demand history;

ii) providing a supply database comprising a compendium of at least one of regional product allocation management solutions, regional product allocation information, and regional product allocation diagnostics; and

iii) employing a data mining technique for interrogating said demand and supply databases for generating an output data stream, said output data stream correlating demand problem with supply solution.

2. A method according to claim 1, comprising a step of updating the demand database.

3. A method according to claim 2, comprising a step of updating the demand database so that it includes the results of employing a data mining technique.

4. A method according to claim 1, comprising a step of updating the supply database.

5. A method according to claim 4, comprising a step of updating the supply database so that it includes the effects of employing a data mining technique on the demand database.

6. A method according to claim 2, comprising a step of refining a employed data mining technique in cognizance of pattern changes embedded in each database as a consequence of updating the demand database.

7. A method according to claim 4, comprising a step of refining a employed data mining technique in cognizance of pattern changes embedded in each database as a consequence of updating the supply database.

8. A method according to claim 1, comprising a step of employing neural networks as the data mining technique.

9. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for providing an interactive regional product allocation management database, the method comprising the steps of:

i) providing a demand database comprising a compendium of individual demand history;

ii) providing a supply database comprising a compendium of at least one of regional product allocation management solutions, regional product allocation information, and regional product allocation diagnostics; and

iii) employing a data mining technique for interrogating said demand and supply databases for generating an output data stream, said output data stream correlating demand problem with supply solution.

10. A computer comprising:

i) means for inputting a demand database comprising a compendium of individual demand history;

ii) means for inputting a supply database comprising a compendium of at least one of regional product allocation management solutions, regional product allocation information, and regional product allocation diagnostics;

iii) means for employing a data mining technique for interrogating said demand and supply databases; and

iv) means for generating an output data stream, said output data stream correlating demand problem with supply solution.