Methods and Apparatus for Gathering Intelligence from Itemized Receipts

• US 20120284081A1
• Filed: 04/16/2012
• Published: 11/08/2012
• Est. Priority Date: 05/02/2011
• Status: Abandoned Application

• Current Assignee: Proximiant Incorporated
• Original Assignee: Proximiant Incorporated
• Inventors: Cheng, Fang, Evans, Edwin
• Application Number:
  US13/447,986
• Publication Number:
  US 20120284081A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An intelligence-gathering system operates on a network-connected server having at least one processor and at least one coupled data repository, with software executing on the at least one processor from a non-transitory medium. The software provides a first function obtaining data from itemized receipts, a second function obtaining related data from one or more merchant sites, and a third function matching data sets obtained from the itemized receipts to data sets obtained from the one or more merchant sites.

Claims

1. An intelligence-gathering system comprising:

a network-connected server having at least one processor and at least one coupled data repository;

software executing on the at least one processor from a non-transitory medium, the software providing;

a first function obtaining data from itemized receipts;

a second function obtaining related data from one or more merchant or third-party sites; and

a third function matching data sets obtained from the itemized receipts to data sets obtained from the one or more merchant or third-party sites.

2. The system of claim 1, wherein the network is the Internet network or a connected sub-network.

3. The system of claim 1, wherein the itemized receipts are one or a combination of paper receipts and digital receipts.

4. The system of claim 1, wherein the first function obtains data by a combination of optical character recognition (OCR) method, and natural language processing (NLP).

5. The system of claim 1, wherein the first function obtains data by intercepting digital receipt data from one or more transaction terminals or servers.

6. The system of claim 1, wherein the one or more merchant sites are websites linked to searchable data repositories.

7. The system of claim 1, wherein the second function obtains data by scraping web-based data associated with a web page.

8. The system of claim 1, wherein the third function includes logic for scoring the likelihood of a match.

9. The system of claim 6, further including a function for limiting or constraining the volume of memory searched.

10. The system of claim 1, wherein the data sets obtained from the itemized receipts describe products and or services purchased, and the data sets obtained from the one or more merchant sites describe the same or comparable products and or services.

11. An intelligence-gathering method, comprising the steps:

(a) digitally processing data from itemized receipts to produce one or more machine-readable data sets, each data set describing a product and or service purchased;

(b) using the one or more data sets produced in step (a) as criteria, searching one or more merchant or third-party sites for like data;

(c) using the one or more data sets produced in step (a), grading the likelihood of a best match between the data set and returned data; and

(d) selecting the data with the highest matching probability as a best match for each data set produced in step (a).

12. The method of claim 11 practiced from a non-transitory medium coupled to a network-connected server.

13. The method of claim 12, wherein the network-connected server is an Internet connected server.

14. The method of claim 11, wherein in step (a), the digital processing includes one or a combination of an optical character recognition (OCR) technique, and a natural language processing (NLP) technique.

15. The method of claim 11, wherein in step (a), the itemized receipt data is obtained from a transaction terminal or server.

16. The method of claim 11, wherein in step (a), the itemized receipt data is obtained from paper receipts and or digital receipts submitted by consumers.

17. The method of claim 11, wherein in step (b), merchant sites are websites linked to searchable data repositories.

18. The method of claim 11, wherein in step (a), one or more product or service categories is inferred relative to products and services purchased and in step (b), the product or service categories are used as search volume constraints in searching one or more merchant sites.

19. The method of claim 11, wherein in step (c), a best match for a data set is a percentage value of match, a real number, or symbolic indicia.

20. The method of claim 11, wherein in step (d), the searchable data is obtained by scraping web-based data associated with a web page.