Personalized commerce system

• US 20110040631A1
• Filed: 10/24/2010
• Published: 02/17/2011
• Est. Priority Date: 07/09/2005
• Status: Abandoned Application

• Current Assignee: Jeffrey Eder
• Original Assignee: Jeffrey Eder
• Inventors: Eder, Jeffrey Scott
• Application Number:
  US12/910,829
• Publication Number:
  US 20110040631A1
• Time in Patent Office: Days
• US Class Current: 705/14.67
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0271 Personalized advertisement
• CPC Class Codes: G06Q 30/0276 Advertisement creation

Abstract

An automated method, media and system for advertising, configuring, offering, producing, and/or delivering offerings that are appropriate to the context of a specific individual, group or organization.

Claims

1. A program storage device readable by a machine, tangibly embodying a non transitory program of instructions executable by the machine to perform steps, the steps comprising:

aggregating a plurality of data related to a user entity and to one or more offerings that may be provided by one or more offering entities to said user entity in a format suitable for automated analysis;

transforming at least a portion of said data into a context for said user entity;

using said context and the data for the one or more offerings to create a personalized offering for one or more steps in a commerce chain

where the one or more steps in a commerce chain are selected from the group consisting of advertise, configure, produce, offer and deliver.

2. The program storage device of claim 1, wherein the personalized offering comprises an optimal offering for the user entity, the offering entity or for a combination thereof.

3. The program storage device of claim 1, wherein the personalized offering is selected from the group consisting of ad, configuration, data, information, knowledge, media, product, service, offer term, offer condition, delivery mode, delivery time and delivery location.

4. The program storage device of claim 1, wherein the personalized offering is delivered as a time when the user entity is most likely to be receptive to an interruption.

5. The program storage device of claim 1, wherein the personalized offering is delivered as required to support an upcoming decision.

6. The program storage device of claim 1, wherein the personalized offering is delivered when the user context matches a pre-defined context or when a keyword is entered into a search.

7. The program storage device of claim 1, wherein the user context comprises a complete context.

8. A personalized offering method, comprising:

using a computer to complete the steps of;

aggregate a plurality of data related to a user entity and to one or more offerings that may be provided by one or more offering entities to said user entity in a format suitable for automated analysis;

transform at least a portion of said data into a context for said user entity;

use said context and the data for the one or more offerings to create a personalized offering for one or more steps in a commerce chain

where the one or more steps in a commerce chain are selected from the group consisting of advertise, configure, produce, offer and deliver.

9. The method of claim 8, wherein the personalized offering comprises an optimal offering for the user entity, the offering entity or for a combination thereof.

10. The method of claim 8, wherein the personalized offering is selected from the group consisting of ad, configuration, data, information, knowledge, media, product, service, offer term, offer condition, delivery mode, delivery time and delivery location.

11. The method of claim 8, wherein the personalized offering is delivered as a time when the user entity is most likely to be receptive to an interruption or when a keyword is entered into a search.

12. The method of claim 8, wherein the personalized offering is delivered as required to support an upcoming decision.

13. The method of claim 8, wherein the personalized offering is delivered when the user context matches a pre-defined context.

14. The method of claim 8, wherein the user context comprises a complete entity context.

15. A system for personalized commerce comprising:

a computer with a processor having circuitry to execute instructions;

a storage device available to said processor with sequences of instructions stored therein, which when executed cause the processor to;

aggregate a plurality of data related to a user entity and to one or more offerings that may be provided by one or more offering entities to said user entity in a format suitable for automated analysis;

transform at least a portion of said data into a context for said user entity;

use said context and the data for the one or more offerings to create a personalized offering for one or more steps in a commerce chain

where the one or more steps in a commerce chain are selected from the group consisting of advertise, configure, produce, offer and deliver.

16. The system of claim 15, wherein the personalized offering comprises an optimal offering for the user entity, the offering entity or for a combination thereof.

17. The system of claim 15, wherein the personalized offering is selected from the group consisting of ad, configuration, data, information, knowledge, media, product, service, offer term, offer condition, delivery mode, delivery time and delivery location.

18. The system of claim 15, wherein the personalized offering is delivered as a time when the user entity is most likely to be receptive to an interruption.

19. The system of claim 15, wherein the personalized offering is delivered as required to support an upcoming decision or when a keyword is entered into a search.

20. The system of claim 15, wherein the personalized offering is delivered when the user context matches a pre-defined context.