System and method for gathering and standardizing customer purchase information for target marketing

• US 8,782,076 B2
• Filed: 10/19/2010
• Issued: 07/15/2014
• Est. Priority Date: 08/16/1999
• Status: Expired due to Term

• Current Assignee: International Business Machines SA (International Business Machines Corporation), JP Morgan Chase Bank, N.A. (JP Morgan Chase & Co)
• Original Assignee: JP Morgan Chase Bank, N.A. (JP Morgan Chase & Co)
• Inventors: Rothman, Michael J., Witsil, Kathleen H., Nanek, David W.
• Primary Examiner(s): Perveen, Rehana
• Assistant Examiner(s): HAVAN, HUNG T
• Application Number:
  US12/907,569
• Publication Number:
  US 20110035407A1
• Time in Patent Office: 1,365 Days
• Field of Search: None
• US Class Current: 707/769
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]

Abstract

The present invention relates to storing and manipulating customer purchasing information, particularly purchasing information by credit cards, debit cards, checks, and the like. A hierarchical organizational structure is created comprising a plurality of categories and sub-categories. The customer purchase information may then be retrieved according to user created links to generate customer preference information. The customer preference information may be stored in a customer account, thereby allowing targeted offers to be made to customers.

Claims

1. A computerized method of augmenting data from a first dataset with data from a first database, the method comprising:

retrieving a link from the first dataset, the link comprising instructions for directing a processor to place customer purchase information in predetermined locations within a hierarchical database;

identifying a wordstring in the link, wherein the wordstring identifies an entity and the entity represents at least one merchant;

locating first data from the first database that describes the entity specified by the wordstring, wherein the first database represents a customer purchase database;

processing the first data to form a description describing the entity;

updating the link with the description to generate an updated link relating to the entity;

building a second database that includes at least one location that associates information from at least one event with the description of the entity from the updated link, wherein the second database comprises the hierarchical database comprising a plurality of categories and a plurality of sub-categories;

searching the second database for selected data that meet a desired criteria; and

storing said selected data for further processing.

2. The computer method of claim 1, wherein the first dataset is constituted by link file.

3. The computer method of claim 2, wherein the hierarchical database is constituted by an organizational structure.

4. The computer method of claim 1, wherein the customer purchase database comprises the at least one event, each event representing a customer transaction.

5. The computer method of claim 1, wherein the locating first data includes locating data in a purchase storage device that includes the customer purchase information.

6. The computer method of claim 5, wherein the customer purchase information is taken from multiple sources.

7. The computer method of claim 1, further comprising updating the links in the dataset to account for changes in the second database.

8. The computer method of claim 7, wherein the second database is constituted by an organizational structure.

9. The computer method of claim 8, the method further including updating the organizational structure.

10. The computer method of claim 9, further including determining if a threshold has been attained in order to update the organizational structure.

18. The computer method of claim 1, wherein the link instructions comprise an operator instruction, preference code information, and wordstring information.

19. The computer method of claim 18, wherein the operator instruction comprises instructions to direct the processor to search the customer purchase database.

20. The computer method of claim 18, wherein the preference code information represents at least one of the plurality of categories or sub-categories in the hierarchical database.

11. A computerized system for augmenting data from a first dataset with data from a first database to augment a second database, the system comprising:

at least one computer processor;

a first dataset that includes a plurality of links disposed in a link file, the at least one computer processor configured to retrieve a link from the first dataset, the link comprising instructions for directing a processor to place customer purchase information in predetermined locations within a hierarchical database; and

the at least one computer processor further configured to;

identify a wordstring in the link, wherein the wordstring identifies an entity and the entity represents at least one merchant;

locate first data from the first database that describes the entity specified by the wordstring, wherein the first database represents a customer purchase database;

process the first data to form a description describing the entity;

update the link with the description to generate an updated link relating to the entity;

build a second database that includes at least one location that associates information from at least one event with the description of the entity from the updated link, wherein the second database comprises the hierarchical database comprising a plurality of categories and a plurality of sub-categories;

search the second database for selected data that meet a desired criteria; and

store said selected data for further processing.

12. The computerized system of claim 11, wherein the first dataset is constituted by link file.

13. The computerized system of claim 12, wherein the hierarchical database is constituted by an organizational structure.

14. The computerized system of claim 13, wherein the organizational structure provides a preference database, which comprises a plurality of output databases.

15. The computerized system of claim 11, wherein each link includes character information and word-string information.

16. The computerized system of claim 11, wherein the at least one event is a transaction.

17. A computerized system for augmenting data from a first dataset with data from a first database to augment a second database, the system comprising:

at least one computer processor;

a first dataset that includes a plurality of links disposed in a link file, the at least one computer processor configured to retrieve a link from the first dataset, the link comprising instructions for directing a processor to place customer purchase information in predetermined locations within a hierarchical database; and

the at least one computer processor further configured to;

identify a wordstring in the link, wherein the wordstring identifies an entity and the entity represents at least one merchant;

locate first data from the first database that describes the entity specified by the wordstring, wherein the first database represents a customer purchase database;

process the first data to form a description describing the entity;

update the link with the description to generate an updated link relating to the entity;

build a second database that includes at least one location that associates information from at least one event with the description of the entity from the updated link, wherein the second database comprises the hierarchical database comprising a plurality of categories and a plurality of sub-categories;

search the second database for selected data that meet a desired criteria; and

store said selected data for further processing, and

wherein;

the first dataset is constituted by link file;

the hierarchical database is constituted by an organizational structure; and

the at least one event is a transaction.