METHOD OF PROVIDING AN OFFER BASED ON A PROJECTED PATH TRIGGERED BY A POINT OF SALE TRANSACTION

• US 20130046603A1
• Filed: 08/17/2011
• Published: 02/21/2013
• Est. Priority Date: 08/17/2011
• Status: Abandoned Application

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: Grigg, David M., Calman, Matthew A., Bose, Raja, Ross, Erik Stephen
• Application Number:
  US13/212,102
• Publication Number:
  US 20130046603A1
• Time in Patent Office: Days
• US Class Current: 705/14.25
• CPC Class Codes: G06Q 30/0261 based on user location

Abstract

Embodiments of the invention include systems, methods, and computer-program products that provide for a unique offer determination system. In one embodiment of the invention, offers are provided based on a projected path of a user triggered by a transaction at a point-of-transaction device. The system receives data associated with a transaction at a point-of-transaction device, determines the identity of the user conducting the transaction, predicts a projected path or future action of the user based on the transaction, and provides an offer to the user based on the projected path. In an embodiment, the system predicts the projected path based on pattern recognition analysis of the user'"'"'s transaction history.

Claims

1. A computer-implemented method of providing an offer based on a projected path triggered by a transaction at a point-of-transaction device, the method comprising:

receiving data associated with a transaction at a point-of-transaction device, wherein the data includes financial account information;

identifying, via a computing device processor, a user associated with the financial account information;

predicting, via a computing device processor, a projected path of the user based at least in part on the transaction at the point-of-transaction device; and

providing an offer to the user based at least in part on the projected path of the user.

2. The computer-implemented method of claim 1, further comprising:

determining, via a computing device processor, an identity of the business of the point-of-transaction device; and

predicting the projected path based on the identity of the business.

3. The computer-implemented method of claim 2, wherein the projected path is predicted based on a historic pattern of transactions by the user after the user has patronized the identified business.

4. The computer-implemented method of claim 2, wherein the projected path is predicted based on historic pattern of transactions by customers of a financial institution after the customers have patronized the identified business.

5. The computer-implemented method of claim 4, wherein the customers are selected based on similarity to the user.

6. The computer-implemented method of claim 1, wherein the projected path is predicted based on a historic pattern of transactions after the user conducted a previous transaction at substantially the same time.

7. The computer-implemented method of claim 1, further comprising customizing, via a computing device processor, the offer based on at least one previous financial transaction of the user.

8. The computer-implemented method of claim 1, wherein the offer is selected from a plurality of offers based at least in part on proximity to a business on the projected path.

9. The computer-implemented method of claim 1, wherein the offer is selected from a plurality of offers to provide an offer from a competitor of a business on the projected path.

10. The computer-implemented method of claim 1, wherein the offer is selected from a plurality of offers based at least in part on previous acceptance of related offers by the user.

11. The computer-implemented method of claim 1, wherein the offer is selected from a plurality of offers based at least in part on a social network of the user.

12. The computer-implemented method of claim 1, wherein identifying the user associated with the financial account information further comprises:

identifying, via a computing device processor, a financial account associated with the financial account information; and

determining, via a computing device processor, the user associated with the financial account.

13. The computer-implemented method of claim 12, further comprising determining, via a computing device processor, contact information for the user, wherein the contact information is selected from the group consisting of a telephone number, an email address, and a social networking ID.

14. A system for providing an offer based on a projected path triggered by a transaction at a point-of-transaction device, the system comprising:

a computing platform including a processor and a memory;

a user identification routine stored in the memory, executable by the processor and configured to identify an identity of a user associated with a transaction at a point-of-transaction device;

a pattern recognition server stored in the memory and configured to receive data associated with the transaction and data associated with transaction history of the user;

a pattern recognition routine stored in the memory, executable by the processor and configured to predict a projected path for the user based at least in part on the transaction; and

an offer routine stored in the memory, executable by the processor and configured to provide the offer to the user.

15. The system of claim 14, wherein the pattern recognition routine is configured to identify the transaction, analyze the transaction history of the user, and predict the projected path of the user based on the transaction and the transaction history of the user.

16. The system of claim 14, wherein the projected path is predicted based on the transaction history of a population of customers of a financial institution.

17. The system of claim 16, wherein the population of customers is defined as all customers that have conducted a transaction at the point-of-transaction device within a predetermined time period.

18. The system of claim 16, wherein the population of customers is defined based on similarity to the user.

19. The system of claim 14, wherein the offer is provided by sending a message to the user, wherein the message is selected from the group consisting of an email, a text message, a phone message, an instant messaging message, and a social networking message.

20. The system of claim 14, wherein the projected path is predicted based on statistical analysis, using a computer device processor, of the transaction history of the user.

21. The system of claim 14, further comprising:

an assistance routine stored in the memory, executable by the processor and configured to provide directions to the user,

wherein the directions assist the user in reaching a business associated with the offer.

22. The system of claim 14, wherein the offer is customized based on the transaction history of the user.

23. A computer program product for providing an offer based on a projected path triggered by a transaction at a point-of-transaction device, the computer program product comprising:

a computer-readable medium comprising;

a first set of codes for causing a computer to receive data associated with a transaction at a point-of-transaction device, the data comprising financial account information;

a second set of codes for causing a computer to identify a user associated with the financial account information;

a third set of codes for causing a computer to predict a projected path based at least in part on the transaction; and

a fourth set of codes for causing a computer to provide an offer to the user based at least in part on the projected path.

24. The computer program product of claim 23, wherein the projected path is predicted based on a pattern recognition analysis of transaction history of the user.

25. The computer program product of claim 24, wherein the pattern recognition analysis predicts future behavior of the user based on historical patterns of behavior present in the transaction history of the user.

26. The computer program product of claim 23, further comprising a fifth set of codes for causing a computer to determine an offer from a plurality of offers, wherein the offer is determined at least in part based on the projected path of the user.

27. The computer program product of claim 26, wherein the offer is determined based on the predicted destination of the user.

28. The computer program product of claim 23, wherein the offer is provided to the user substantially immediately after conducting the transaction at the point-of-transaction device.

29. The computer program product of claim 23, wherein the computer-readable medium is stored on a mobile device of the user.