Promotions system and method

• US 20080015938A1
• Filed: 07/06/2007
• Published: 01/17/2008
• Est. Priority Date: 07/11/2006
• Status: Abandoned Application

• Current Assignee: Welcome Real-Time Pte Limited
• Original Assignee: Welcome Real-Time Pte Limited
• Inventors: Balasubramaniam, Ramkumar, Haddad, Aneace
• Application Number:
  US11/822,537
• Publication Number:
  US 20080015938A1
• Time in Patent Office: Days
• US Class Current: 705/14
• CPC Class Codes: G06Q 20/387 Payment using discounts or coupons relating to marketing G06Q30/02
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0238 at point-of-sale [POS]
• CPC Class Codes: G06Q 30/0268 at point-of-sale [POS]

Abstract

A promotional system and method for point-of-sales terminals for a vendor, that performs steps including: i) accessing sales data representing previous sales transactions of a customer of the vendor with different merchants; ii) generating, based on said sales data, relationship data representing one or more attributes of said merchants; iii) accessing configuration data including data representing one or more criteria for providing one or more promotions of one or more of said merchants to said customer based on the value of said attributes; iv) selecting, based on said relationship data and said configuration data, one or more of said merchants with at least one of said attributes that satisfy said parameters; v) accessing promotions data representing said one or more promotions for said selected merchants; and vi) generating, based on said promotions data, a record of said one or more promotions for said customer.

Claims

1. A promotional system including a point-of-sales terminal for a vendor, said terminal being configured to:

i) access sales data representing previous sales transactions of a customer of said vendor with different merchants;

ii) generate, based on said sales data, relationship data representing one or more attributes of said merchants;

iii) access configuration data including data representing one or more criteria for providing one or more promotions of one or more of said merchants to said customer based on said attributes;

iv) select, based on said relationship data and said configuration data, one or more of said merchants with at least one of said attributes that satisfy said criteria;

v) access promotions data representing said one or more promotions for said selected merchants; and

vi) generate, based on said promotions data, a record of said one or more promotions for said customer.

2. A system as claimed in claim 1, wherein said configuration data includes merchant data for different said merchants, the merchant data for one of said merchants including:

merchant identity data representing a unique identifier for said merchant;

merchant category data representing, based on several predefined categories of merchants, at least one of said categories related to the type of goods or services provided by said merchant; and

merchant rules data representing one or more of said predefined categories related to the goods or services provided by a said vendor that is permitted to provide said promotions of said merchant.

3. A system as claimed in claim 2, wherein said configuration data includes vendor data including:

vendor identity data representing a unique identifier for said vendor;

vendor category data representing at least one of said predefined categories related to the type of goods or services provided by said vendor; and

vendor rules data representing one or more of said predefined categories, wherein said vendor provides only promotions of those said merchants associated with the categories defined in said merchant category data and said vendor rules data.

4. A system as claimed in claim 1, wherein said sales data for said customer with one of said merchants includes:

visits data representing a total number of visits to said merchant by said customer;

amount spend data representing a total value of sales transactions between said customer and said merchant; and

last update data representing the date of the most recent visit to said merchant by said customer.

5. A system as claimed in claim 1, wherein said relationship data for one of said merchants includes:

frequency data representing an average number of visits to said merchant by one or more different customers of said vendor;

cumulative spend data representing an average value of the sales transactions between said merchant and said customers of said vendor;

recency data representing an average duration based on said customers'"'"' most recent visit to said merchant and said customers'"'"' most recent visit to said vendor; and

total transactions data representing a total number of sales transactions between said customers and said merchant.

6. A system as claimed in claim 5, wherein said frequency data for said merchant represents the quotient of a sales total, representing the total number of visits to said merchant by said customers, and the total number of sales transactions between said customers and said vendor.

7. A system as claimed in claim 5, wherein said cumulative spend data for said merchant represents the quotient of a spend total, representing the total value of the sales transactions between different said customers at said merchant, and the total number of sales transactions between said customers and said vendor.

8. A system as claimed in claim 5, wherein said recency data for said merchant represents a quotient of a total period, representing a total of the times between said customers'"'"' most recent visit to said merchant and said customers'"'"' most recent sales to said vendor, and the total number of sales transactions between said customers and said vendor.

9. A system as claimed in claim 5, wherein said configuration data includes:

transaction limit data representing a minimum number of said average number of sales transactions between said different customers and any one of said merchants for that customer to qualify for said promotions from one of said merchants; and

selection limit data representing a maximum number of said merchants for selection.

10. A system as claimed in claim 9, wherein said step (iv) includes:

ranking said merchants defined in said relationship data from highest to lowest based on the values represented by the respective frequency data for said merchants, said ranking disregarding merchants with a value represented by said total transaction data that exceeds or equals the value represented by said transaction limit data; and

generating a first selection of one or more of said merchants in the order as ranked starting from the merchant with the highest value as represented by said frequency data, wherein the number of merchants in said first selection does not exceed the number represented by said selection limit data.

11. A system as claimed in claim 10, wherein said configuration data includes frequency match data representing a first threshold number, and said steps (v) and (vi) are performed only if said sales data for said customer includes at least said first threshold number of merchants included in said first selection.

12. A system as claimed in claim 9, wherein said step (iv) includes:

ranking said merchants defined in said relationship data from highest to lowest based on the values represented by the respective cumulative spend data for said merchants, said ranking disregarding merchants with a value represented by said total transaction data that exceeds or equals the value represented by said transaction limit data; and

generating a second selection of one or more of said merchants in the order as ranked starting from the merchant with the highest value as represented by said cumulative spend data, wherein the number of merchants in said second selection does not exceed the number represented by said selection limit data.

13. A system as claimed in claim 12, wherein said configuration data includes spend match data representing a second threshold number, and said steps (v) and (vi) are performed only if said sales data for said customer includes at least said second threshold number of merchants included in said second selection.

14. A system as claimed in claim 9, wherein said step (iv) includes:

ranking said merchants defined in said relationship data from lowest to highest based on the values represented by the respective recency data for said merchants, said ranking disregarding merchants with a value represented by said total transaction data that exceeds or equals the value represented by said transaction limit data; and

generating a third selection of one or more of said merchants in the order as ranked starting from the merchant with the lowest value as represented by said recency data, wherein the number of merchants in said third selection does not exceed the number represented by said selection limit data.

15. A system as claimed in claim 14, wherein said configuration data includes recency match data representing a third threshold number, and said steps (v) and (vi) are performed only if said sales data for said customer includes at least said third threshold number of merchants included in said third selection.

16. A system as claimed in claim 1, wherein said promotions data includes description data representing text or graphics relating to a commercial offer, a monetary reward or a discount for a sales transaction.

17. A system as claimed in claim 1, wherein said reward only relates to said merchants not included in said sales data for said customer.

18. A promotional method including:

i) accessing sales data representing previous sales transactions of a vendor'"'"'s customer with different merchants;

ii) generating, based on said sales data, relationship data representing one or more attributes of said merchants;

iii) accessing configuration data including data representing one or more criteria for providing one or more promotions of one or more of said merchants to said customer based on said attributes;

iv) selecting, based on said relationship data and said configuration data, one or more of said merchants with at least one of said attributes that satisfy said criteria;

v) accessing promotions data representing said one or more promotions for said selected merchants; and

vi) generating, based on said promotions data, a record of said one or more promotions for said customer.

19. A method as claimed in claim 18, wherein said configuration data includes merchant data for different said merchants, the merchant data for one of said merchants including:

merchant identity data representing a unique identifier for said merchant;

merchant category data representing, based on several predefined categories of merchants, at least one of said categories related to the type of goods or services provided by said merchant; and

merchant rules data representing one or more of said predefined categories related to the goods or services provided by a said vendor that is permitted to provide said promotions of said merchant.

20. A method as claimed in claim 19, wherein said configuration data includes vendor data including:

vendor identity data representing a unique identifier for said vendor;

vendor category data representing at least one of said predefined categories related to the type of goods or services provided by said vendor; and

vendor rules data representing one or more of said predefined categories, wherein said vendor provides only promotions of those said merchants associated with the categories defined in said merchant category data and said vendor rules data.

21. A method as claimed in claim 18, wherein said sales data for said customer with one of said merchants includes:

visits data representing a total number of visits to said merchant by said customer;

amount spend data representing a total value of sales transactions between said customer and said merchant; and

last update data representing the date of the most recent visit to said merchant by said customer.

22. A method as claimed in claim 18, wherein said relationship data for one of said merchants includes:

frequency data representing an average number of visits to said merchant by one or more different customers of said vendor;

cumulative spend data representing an average value of the sales transactions between said merchant and said customers of said vendor;

recency data representing an average duration based on said customers'"'"' most recent visit to said merchant and said customers'"'"' most recent visit to said vendor; and

total transactions data representing a total number of sales transactions between said customers and said merchant.

23. A method as claimed in claim 22, wherein said frequency data for said merchant represents the quotient of a sales total, representing the total number of visits to said merchant by said customers, and the total number of sales transactions between said customers and said vendor.

24. A method as claimed in claim 22, wherein said cumulative spend data for said merchant represents the quotient of a spend total, representing the total value of the sales transactions between different said customers at said merchant, and the total number of sales transactions between said customers and said vendor.

25. A method as claimed in claim 22, wherein said recency data for said merchant represents a quotient of a total period, representing a total of the times between said customers'"'"' most recent visit to said merchant and said customers'"'"' most recent sales to said vendor, and the total number of sales transactions between said customers and said vendor.

26. A method as claimed in claim 22, wherein said configuration data includes:

transaction limit data representing a minimum number of said average number of sales transactions between said different customers and any one of said merchants for that customer to qualify for said promotions from one of said merchants; and

selection limit data representing a maximum number of said merchants for selection.

27. A method as claimed in claim 26, wherein said step (iv) includes:

ranking said merchants defined in said relationship data from highest to lowest based on the values represented by the respective frequency data for said merchants, said ranking disregarding merchants with a value represented by said total transaction data that exceeds or equals the value represented by said transaction limit data; and

generating a first selection of one or more of said merchants in the order as ranked starting from the merchant with the highest value as represented by said frequency data, wherein the number of merchants in said first selection does not exceed the number represented by said selection limit data.

28. A system as claimed in claim 27, wherein said configuration data includes frequency match data representing a first threshold number, and said steps (v) and (vi) are performed only if said sales data for said customer includes at least said first threshold number of merchants included in said first selection.

29. A system as claimed in claim 26, wherein said step (iv) includes:

ranking said merchants defined in said relationship data from highest to lowest based on the values represented by the respective cumulative spend data for said merchants, said ranking disregarding merchants with a value represented by said total transaction data that exceeds or equals the value represented by said transaction limit data; and

generating a second selection of one or more of said merchants in the order as ranked starting from the merchant with the highest value as represented by said cumulative spend data, wherein the number of merchants in said second selection does not exceed the number represented by said selection limit data.

30. A system as claimed in claim 29, wherein said configuration data includes spend match data representing a second threshold number, and said steps (v) and (vi) are performed only if said sales data for said customer includes at least said second threshold number of merchants included in said second selection.

31. A system as claimed in claim 26, wherein said step (iv) includes:

ranking said merchants defined in said relationship data from lowest to highest based on the values represented by the respective recency data for said merchants, said ranking disregarding merchants with a value represented by said total transaction data that exceeds or equals the value represented by said transaction limit data; and

generating a third selection of one or more of said merchants in the order as ranked starting from the merchant with the lowest value as represented by said recency data, wherein the number of merchants in said third selection does not exceed the number represented by said selection limit data.

32. A method as claimed in claim 31, wherein said configuration data includes recency match data representing a third threshold number, and said steps (v) and (vi) are performed only if said sales data for said customer includes at least said third threshold number of merchants included in said third selection.

33. A method as claimed in claim 18, wherein said promotions data includes description data representing text or graphics relating to a commercial offer, a monetary reward or a discount for a sales transaction.

34. A method as claimed in claim 18, wherein said reward only relates to said merchants not included in said sales data for said customer.

35. A method as claimed in claim 18 used in a point-of-sales terminal.

36. Computer readable code for configuring a point-of-sales device to perform a method as claimed in claim 18.