SYSTEMS AND METHODS FOR RECOMMENDING COMPETITOR SETS

• US 20140278744A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Lo Faro, Walter, Merz, Christopher J.
• Application Number:
  US13/834,229
• Publication Number:
  US 20140278744A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A computer system for recommending potential competitor merchants to a subscriber merchant and/or a market analyst is provided. The computer system includes a memory device in communication with a processor. The processor is programmed to receive transaction information for a plurality of cardholders from a payment network. The transaction information includes data relating to purchases made by the cardholders at a plurality of merchants. The processor may receive subscriber merchant preference information for at least one of the merchants input by the cardholder. The computer system determines a merchant rank for each merchant based on the received transaction information and/or the subscriber merchant preference information, and determines a neutral merchant rank and a merchant score for each merchant. After ranking, a ranked list of potential competitor merchants is generated for presentation to a subscriber merchant and/or a market analyst for further analysis.

Claims

1. A competitor identifier computer system for developing a set of merchants that are competitors to a subscriber merchant for presentation to a market analyst, said system comprising:

a memory device for storing data; and

a processor in communication with the memory device, said processor programmed to;

receive payment card transaction information for payment cardholders from the payment network, the payment card transaction information including data relating to a plurality of purchases made by the plurality of cardholders at a plurality of different merchants, the purchases satisfying a first criterion;

receive merchant rating information;

receive merchant descriptive information;

determine location information of each of the plurality of different merchants relative to at least one of a predetermined selectable location and a location of a subscriber merchant;

determine a set of competitor merchants from the plurality of different merchants using the received payment card transaction information, the received merchant rating information, the received merchant descriptive information, and the determined location information; and

display the set of competitor merchants to at least one of the subscriber merchant and a market analyst.

2. A computer system in accordance with claim 1, wherein said processor is programmed to receive subscriber merchant preference information for at least one merchant of the plurality of merchants.

3. A computer system in accordance with claim 2, wherein said processor is programmed to determine a merchant rank for each merchant of the plurality of merchants based on the received transaction information and the subscriber merchant preference information.

4. A computer system in accordance with claim 3, wherein said processor is programmed to determine a neutral merchant rank for each merchant of the plurality of merchants based on the received transaction information and neutral merchant preferences associated with the plurality of merchants.

5. A computer system in accordance with claim 4, wherein said processor is programmed to determine a merchant score for each merchant of the plurality of merchants by comparing the merchant rank to the neutral merchant rank.

6. A computer system in accordance with claim 5, wherein said processor is further programmed to create a matrix of merchant associations for the plurality of merchants indicating a number of transactions between each merchant combination and the cardholders, wherein each merchant combination includes as one of the merchants said subscriber merchant.

7. A computer system in accordance with claim 6, wherein said processor is further programmed to create the matrix for cardholders that transact at two or more merchants of the plurality of merchants during a predetermined time period.

8. A computer system in accordance with claim 7, wherein said processor is further programmed to:

determine the merchant rank for each merchant;

create a preference vector representing a level of a preference of the subscriber merchant for one merchant relative to at least one other merchant; and

apply the preference vector to the matrix of merchant associations to determine a merchant ranking vector, wherein the merchant ranking vector is associated with the subscriber merchant preference information and includes the merchant rank associated with each merchant of the plurality of merchants.

9. A computer system in accordance with claim 8, wherein said processor is further programmed to determine a neutral merchant rank by applying a neutral preference vector to the matrix of merchant associations to determine a neutral merchant ranking vector, wherein the neutral preference vector includes generic preference information that is equal for each merchant of the plurality of merchants, and wherein the neutral merchant ranking vector includes the neutral merchant rank associated with each merchant of the plurality of merchants.

10. A computer system in accordance with claim 9, wherein said processor is further programmed to determine the merchant score by comparing the neutral merchant ranking vector to the merchant ranking vector to determine a merchant score vector for the subscriber merchant, wherein the merchant score vector includes the merchant score associated with each merchant of the plurality of merchants.

11. A computer system in accordance with claim 10, wherein said processor is further programmed to:

sort the plurality of merchants in descending order based on the determined merchant scores; and

provide a list of potential competitor merchants to the subscriber merchant, wherein the list is based on the sorted merchant scores.

12. A computer system in accordance with claim 1, wherein to satisfy the first criterion, the purchases occur during a predetermined time period and within a predetermined geographical region.

13. A computer system in accordance with claim 1, wherein the plurality of merchants are associated with the same market segment.

14. A computer-implemented method for developing a set of merchants that are competitors to a subscriber merchant, for presentation to a market analyst, said method using a merchant analytic (MA) computer system, wherein the MA computer system is in communication with a memory device, said method comprising:

receiving, at the MA computer system, payment card transaction information for payment cardholders from the payment network, the payment card transaction information including data relating to a plurality of purchases made by the plurality of cardholders at a plurality of different merchants, the purchases satisfying a first criterion;

receiving, at the MA computer system, merchant rating information;

receiving, at the MA computer system, merchant descriptive information;

determining location information of each of the plurality of different merchants relative to at least one of a predetermined selectable location and a location of a subscriber merchant;

determining a set of competitor merchants from the plurality of different merchants using the received payment card transaction information, the received merchant rating information, the received merchant descriptive information, and the determined location information; and

displaying the set of competitor merchants to at least one of the subscriber merchant and a market analyst.

15. A method in accordance with claim 14, said method further comprising receiving, at the MA computer system, subscriber merchant preference information for at least one merchant of the plurality of merchants.

16. A method in accordance with claim 15, said method further comprising determining, at the MA computer system, a merchant rank for each merchant of the plurality of merchants based on the received transaction information and the subscriber merchant preference information.

17. A method in accordance with claim 16, said method further comprising determining, at the MA computer system, a neutral merchant rank for each merchant of the plurality of merchants based on the received transaction information and neutral merchant preferences associated with the plurality of merchants.

18. A method in accordance with claim 17, said method further comprising determining, at the MA computer system, a merchant score for each merchant of the plurality of merchants by comparing the merchant rank to the neutral merchant rank.

19. A method in accordance with claim 18, said method further comprising creating, at the MA computer system, a matrix of merchant associations for the plurality of merchants indicating a number of transactions between each merchant combination and the cardholders, wherein each merchant combination includes as one of the merchants said subscriber merchant.

20. A method in accordance with claim 19, wherein creating the matrix further comprising creating the matrix for cardholders that transact at two or more merchants of the plurality of merchants during a predetermined time period.

21. A method in accordance with claim 20, said method further comprising:

determining the merchant rank for each merchant;

creating a preference vector representing a level of a preference of the subscriber merchant for one merchant relative to at least one other merchant; and

applying the preference vector to the matrix of merchant associations to determine a merchant ranking vector, wherein the merchant ranking vector is associated with the subscriber merchant preference information and includes the merchant rank associated with each merchant of the plurality of merchants.

22. A method in accordance with claim 21, said method further comprising applying a neutral preference vector to the matrix of merchant associations to determine a neutral merchant ranking vector, wherein the neutral preference vector includes generic preference information that is equal for each merchant of the plurality of merchants, and wherein the neutral merchant ranking vector includes the neutral merchant rank associated with each merchant of the plurality of merchants.

23. A method in accordance with claim 22, said method further comprising comparing the neutral merchant ranking vector to the merchant ranking vector to determine a merchant score vector for the cardholder, wherein the merchant score vector includes the merchant score associated with each merchant of the plurality of merchants.

24. A method in accordance with claim 23, said method further comprising:

sorting the plurality of merchants in descending order based on the determined merchant scores; and

providing a list of potential competitor merchants to the subscriber merchant, wherein the list is based on the sorted merchant scores.

25. A method in accordance with claim 14, wherein to satisfy the first criterion, the purchases occur during a predetermined time period and within a predetermined geographical region.

26. A method in accordance with claim 14, wherein the plurality of merchants are associated with the same market segment.

27. One or more computer-readable storage media having computer-executable instructions embodied thereon for developing a set of merchants that are competitors to a subscriber merchant for presentation to a market analyst, wherein when executed by at least one processor, said computer-executable instructions cause the processor to:

receive payment card transaction information for payment cardholders from the payment network, the payment card transaction information including data relating to a plurality of purchases made by the plurality of cardholders at a plurality of different merchants, the purchases satisfying a first criterion;

receive merchant rating information;

receive merchant descriptive information;

determine location information of each of the plurality of different merchants relative to at least one of a predetermined selectable location and a location of a subscriber merchant;

determine a set of competitor merchants from the plurality of different merchants using the received payment card transaction information, the received merchant rating information, the received merchant descriptive information, and the determined location information; and

display the set of competitor merchants to at least one of the subscriber merchant and a market analyst.

28. The computer-readable storage media in accordance with claim 27, wherein said computer-executable instructions cause said processor to receive subscriber merchant preference information for at least one merchant of the plurality of merchants.

29. The computer-readable storage media in accordance with claim 28, wherein said computer-executable instructions cause said processor to determine a merchant rank for each merchant of the plurality of merchants based on the received transaction information and the subscriber merchant preference information.

30. The computer-readable storage media in accordance with claim 29, wherein said computer-executable instructions cause said processor to determine a neutral merchant rank for each merchant of the plurality of merchants based on the received transaction information and neutral merchant preferences associated with the plurality of merchants.

31. The computer-readable storage media in accordance with claim 30, wherein said computer-executable instructions cause said processor to determine a merchant score for each merchant of the plurality of merchants by comparing the merchant rank to the neutral merchant rank.

32. The computer-readable storage media in accordance with claim 31, wherein said computer-executable instructions cause said processor to create a matrix of merchant associations for the plurality of merchants indicating a number of transactions between each merchant combination and the cardholders, wherein each merchant combination includes as one of the merchants said subscriber merchant.

33. The computer-readable storage media in accordance with claim 32, wherein the computer-executable instructions cause said processor to create the matrix for cardholders that transact at two or more merchants of the plurality of merchants during a predetermined time period.

34. The computer-readable storage media in accordance with claim 33, wherein the computer-executable instructions cause said processor to:

determine the merchant rank for each merchant;

create a preference vector representing a level of a preference of the subscriber merchant for one merchant relative to at least one other merchant; and

apply the preference vector to the matrix of merchant associations to determine a merchant ranking vector, wherein the merchant ranking vector is associated with the subscriber merchant preference information and includes the merchant rank associated with each merchant of the plurality of merchants.

35. The computer-readable storage media in accordance with claim 34, wherein said computer-executable instructions cause said processor to determine a neutral merchant rank by applying a neutral preference vector to the matrix of merchant associations to determine a neutral merchant ranking vector, wherein the neutral preference vector includes generic preference information that is equal for each merchant of the plurality of merchants, and wherein the neutral merchant ranking vector includes the neutral merchant rank associated with each merchant of the plurality of merchants.

36. The computer-readable storage media in accordance with claim 35, wherein said computer-executable instructions cause said processor to determine the merchant score by comparing the neutral merchant ranking vector to the merchant ranking vector to determine a merchant score vector for the subscriber merchant, wherein the merchant score vector includes the merchant score associated with each merchant of the plurality of merchants.

37. The computer-readable storage media in accordance with claim 36, wherein said computer-executable instructions cause said processor to:

sort the plurality of merchants in descending order based on the determined merchant scores; and

provide a list of potential competitor merchants to the subscriber merchant, wherein the list is based on the sorted merchant scores.

38. The computer-readable storage media in accordance with claim 27, wherein to satisfy the first criterion, the purchases occur during a predetermined time period and within a predetermined geographical region.

39. The computer-readable storage media in accordance with claim 27, wherein the plurality of merchants are associated with the same market segment.