Method for pricing products in a retail store

• US 20060080265A1
• Filed: 03/04/2005
• Published: 04/13/2006
• Est. Priority Date: 10/13/2004
• Status: Abandoned Application

• Current Assignee: Dunnhumby Limited (Nabors Industries Limited)
• Original Assignee: Dunnhumby Limited (Nabors Industries Limited)
• Inventors: Hinds, Mark, Wilhite, Michael
• Application Number:
  US11/073,354
• Publication Number:
  US 20060080265A1
• Time in Patent Office: Days
• US Class Current: 705/400
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/0283 Price estimation or determination

Abstract

A method for pricing products such as goods that are sold in a retail store. The method of the present invention is carried out using the following five-step process: (a) evaluating transaction data for a plurality of consumers; (b) classifying the plurality of consumers into a plurality of consumer groups; (c) identifying a product category; (d) classifying products in the product category into a plurality of product groups, the product groups being based at least in part on the plurality of consumer groups; and (e) setting the retail price of a product in the product category, the retail price being based at least in part on the product group into which the product is classified.

Claims

1. A method for establishing the retail price of a product, comprising the steps of:

evaluating shopping purchase data for a plurality of consumers;

classifying the plurality of consumers into a plurality of consumer group based, at least in part, upon the evaluation of shopping purchase data;

identifying a product category;

classifying products in the product category into a plurality of product groups based, at least in part, upon a distribution consumer groups purchasing the products in the product category; and

setting the retail price of a product in the product category based, at least in part, upon the product group into which the product is classified.

2. The method of claim 1, wherein the shopping purchase data includes the identification of products that each of the plurality of consumers has purchased.

3. The method of claim 2, wherein the shopping purchase data is collected using frequent shopper cards.

4. The method of claim 1, wherein each of the plurality of consumers is classified into one of the plurality of consumer groups.

5. The method of claim 4, wherein the plurality of consumer groups indicate different degrees of price sensitivity.

6. The method of claim 5, wherein each consumer'"'"'s degree of price sensitivity is determined, at least in part, from the identity of products that the consumer has purchased.

7. The method of claim 5, wherein each consumer'"'"'s degree of price sensitivity is determined, at least in part, from the product groups of the products that the consumer has purchased.

8. The method of claim 5, wherein a first consumer'"'"'s degree of price sensitivity is determined from degree of price sensitivity of other consumers who have purchased the same products as the first consumer.

9. The method of claim 4, wherein the consumer group into which a first consumer is classified is determined, at least in part, from the consumer group into which other consumers, who have purchased the same products as the first consumer, are classified.

10. The method of claim 4, wherein the consumer group into which a consumer is classified is determined, at least in part, from the product groups of the products that the consumer has purchased.

11. The method of claim 1, wherein the product category comprises products having common physical properties.

12. The method of claim 1, wherein the product category comprises products that may be used for a common purpose.

13. The method of claim 1, wherein the product category comprises products having positive cross-elasticities of demand.

14. The method of claim 1, wherein the product category comprises products having a common classification under the North American Industry Classification System.

15. The method of claim 1, wherein the product category comprises products having a common classification under the Standard Industrial Classification system.

16. The method of claim 1, wherein the product group into which a product is classified is determined from the consumer group into which a predetermined fraction of the consumers who purchased the product are classified.

17. The method of claim 1, wherein the product group into which a first product is classified is determined from the product group into which other products, which have been purchased by a predetermined fraction of the consumers who purchased the first product, are classified.

18. The method of claim 1, wherein a product group comprises products that have been purchased by consumers, a sufficient fraction of whom are classified in a common consumer group.

19. The method of claim 1, wherein the step of setting a retail price for a product includes the step of setting the price of a first product, which is classified in a first product group whose products are purchased by consumers having a lower price sensitivity, relatively higher than the price of a second product, which is classified in a second product group whose products are purchased by consumers having a higher price sensitivity.

20. The method of claim 1, wherein the step of setting the retail price for a product includes the step of setting the price of a product, which is classified in a product group purchased more often by consumers having a higher price sensitivity, to be directly competitive with a retail store'"'"'s local competition.

21. A method for establishing the retail price of a product, comprising the steps of:

evaluating transaction data for a plurality of consumers;

classifying the plurality of consumers into a plurality of consumer groups based, at least in part, upon the evaluation of transaction data;

identifying a product category;

classifying a product from the product category into one of a plurality of product groups based, at least in part, upon a distribution of consumer groups transacting for the product; and

setting the retail price of the product in the product category based, at least in part, upon the product group into which the product is classified.

22. The method of claim 21, wherein each of the plurality of consumers is classified into one of the plurality of consumer groups.

23. The method of claim 22, wherein the plurality of consumer groups indicate different degrees of price sensitivity.

24. The method of claim 21, wherein the product category comprises products having positive cross-elasticities of demand.

25. The method of claim 21, wherein the product category includes a plurality of products;

and

wherein each product in the product category is classified into one of the plurality of product groups.

26. The method of claim 21, wherein a product group comprises products that have been purchased by consumers, a predetermined fraction of whom are classified in a common consumer group.

27. The method of claim 21, wherein the step of setting a retail price for a product includes the step of setting the price of a first product, which is classified in a first product group whose products are purchased by consumers having a lower price sensitivity, relatively higher than the price of a second product, which is classified in a second product group whose products are purchased by consumers having a higher price sensitivity.

28. The method of claim 21, wherein the step of setting the retail price for a product includes the step of setting the price of a product, which is classified in a product group purchased more often by consumers having a higher price sensitivity, to be directly competitive with a retail store'"'"'s local competition.

29. A computer system comprising software programmed to perform a method for establishing a business transaction strategy, comprising the steps of:

classifying a plurality of consumers into a plurality of consumer groups based upon at least one of consumer transaction history data and consumer demographic data;

identifying a product;

collecting product transaction history data for the product from the plurality of consumers classified into the consumer groups;

categorizing the product into a product category based upon an analysis of the product transaction history data; and

establishing a business transaction strategy for the product based upon the product category into which the product is categorized.

30. The computer system of claim 29, wherein the step of establishing a business transaction strategy for the product is based upon an analysis of a distribution of the consumer groups'"'"' purchases of the product from the product transaction history data.

31. The computer system of claim 29, wherein the step of classifying a plurality of consumers into a plurality of consumer groups includes the steps of, for each consumer:

determining from the consumer transaction history a transaction personality; and

classifying the consumer into one of the plurality of consumer groups based, at least in part, upon the consumer'"'"'s transaction personality.

32. The computer system of claim 31, wherein the step of establishing a business transaction strategy for the product is based upon an analysis of a distribution of the consumer groups'"'"' purchases of the product from the vehicle transaction history data.

33. The computer system of claim 31, wherein the transaction personality is based upon one or more tendencies taken from a group consisting of:

a consumer'"'"'s price-sensitivity;

a consumer'"'"'s brand loyalty;

a consumer'"'"'s product loyalty;

a consumer'"'"'s attention to promotions;

a consumer'"'"'s use of coupons;

a consumer'"'"'s attention to product layout;

a consumer'"'"'s payment method; and

a consumer'"'"'s tendency to negotiate.

34. The computer system of claim 33, wherein the step of classifying the consumer into one of the plurality of consumer groups is based upon a combination of the consumer'"'"'s transaction personality and the consumer'"'"'s demographic data.

35. The computer system of claim 29, wherein the step of establishing a business transaction strategy for the product includes one or more steps taken from a group consisting of the steps of:

setting a price for the product;

establishing a product promotion for the product;

modifying a product promotion for the product;

modifying a product position for the product within a retail establishment;

modifying a product display for the product within a retail establishment;

modifying a coupon strategy for the product;

setting a price for another product having a predetermined relationship with the product;

establishing a product promotion for another product having a predetermined relationship with the product;

modifying a product promotion for another product having a predetermined relationship with the product;

modifying a product position for another product having a predetermined relationship with the product within a retail establishment;

modifying a product display for another product having a predetermined relationship with the product within a retail establishment; and

modifying a coupon strategy for another product having a predetermined relationship with the product.

36. The computer system of claim 35, wherein the step of classifying a plurality of consumers into a plurality of consumer groups includes the steps of, for each consumer:

determining from the consumer transaction history a transaction personality; and

classifying the consumer into one of the plurality of consumer groups based, at least in part, upon the consumer'"'"'s transaction personality.

37. The computer system of claim 36, wherein the transaction personality is based upon one or more tendencies taken from a group consisting of:

a consumer'"'"'s price-sensitivity;

a consumer'"'"'s brand loyalty;

a consumer'"'"'s product loyalty;

a consumer'"'"'s attention to promotions;

a consumer'"'"'s use of coupons;

a consumer'"'"'s attention to product layout;

a consumer'"'"'s payment method; and

a consumer'"'"'s tendency to negotiate.

38. The computer system of claim 29, wherein the method further comprises the step of identifying a product category, wherein the categorizing and establishing steps are performed for a plurality of products in the product category.

39. The computer system of claim 29, wherein the consumer transaction history data and the product transaction history data are taken from one or more databases of transaction history data.

40. The computer system of claim 39, wherein the one or more databases of transaction history data include data collected from the use of frequent shopper cards.

41. The computer system of claim 39, wherein the one or more databases of transaction history data include data collected from the use of credit cards.

42. The computer system of claim 29, wherein the step of classifying a plurality of consumers into a plurality of consumer groups includes the steps of, for each consumer:

determining from the consumer transaction history a price sensitivity; and

classifying the consumer into one of the plurality of consumer groups based, at least in part, upon the consumer'"'"'s price sensitivity, wherein each of the consumer groups respectively correspond to different predetermined levels of consumer price sensitivity.

43. The computer system of claim 42, wherein the step of establishing a business transaction strategy for the product includes the steps of setting a price for the product.

44. The computer system of claim 43, wherein the step of categorizing the product into a product category is based upon an analysis of a distribution of the consumer groups'"'"' purchases of the product from the product transaction history data, wherein each of the product categories respectively correspond to different predetermined levels of importance as to whether products falling within the product categories should be competitively priced or not.

45. A computer system comprising software programmed to perform a method for establishing a business transaction strategy, comprising the steps of:

classifying a plurality of consumers into a plurality of consumer groups based upon at least one of consumer transaction history data and consumer demographic data;

identifying a transaction vehicle;

collecting vehicle transaction history data for the transaction vehicle from the plurality of consumers classified into the consumer groups;

analyzing of the vehicle transaction history data; and

establishing a business transaction strategy for the transaction vehicle based upon the analysis of the vehicle transaction history data.

46. The computer system of claim 45, wherein the step of establishing a business transaction strategy for the transaction vehicle is based upon an analysis of a distribution of the consumer groups utilization of the transaction vehicle from the vehicle transaction history data.

47. The computer system of claim 45, wherein the step of classifying a plurality of consumers into a plurality of consumer groups includes the steps of, for each consumer:

determining from the consumer transaction history a transaction personality; and

classifying the consumer into one of the plurality of consumer groups based, at least in part, upon the consumer'"'"'s transaction personality.

48. The computer system of claim 47, wherein the step of establishing a business transaction strategy for the transaction vehicle is based upon an analysis of a distribution of the consumer groups utilization of the transaction vehicle from the vehicle transaction history data.

49. The computer system of claim 47, wherein the transaction personality is based upon one or more tendencies taken from a group consisting of:

a consumer'"'"'s price-sensitivity;

a consumer'"'"'s brand loyalty;

a consumer'"'"'s product loyalty;

a consumer'"'"'s attention to promotions;

a consumer'"'"'s use of coupons;

a consumer'"'"'s attention to product layout;

a consumer'"'"'s payment method; and

a consumer'"'"'s tendency to negotiate.

50. The computer system of claim 47, wherein the step of classifying the consumer into one of the plurality of consumer groups is based upon a combination of the consumer'"'"'s transaction personality and the consumer'"'"'s demographic data.

51. The computer system of claim 45, wherein the transaction vehicle includes a first product, and the step of establishing a business transaction strategy for the transaction vehicle includes one or more steps taken from a group consisting of the steps of:

setting a price for the first product;

establishing a product promotion for the first product;

modifying a product promotion for the first product;

modifying a product position for the first product within a retail establishment;

modifying a product display for the first product within a retail establishment;

modifying a coupon strategy for the first product;

setting a price for a second product having a predetermined relationship with the first product;

establishing a product promotion for a second product having a predetermined relationship with the first product;

modifying a product promotion for a second product having a predetermined relationship with the first product;

modifying a product position for a second product having a predetermined relationship with the first product within a retail establishment;

modifying a product display for a second product having a predetermined relationship with the first product within a retail establishment; and

modifying a coupon strategy for a second product having a predetermined relationship with the first product.

52. The computer system of claim 51, wherein the step of classifying a plurality of consumers into a plurality of consumer groups includes the steps of, for each consumer:

determining from the consumer transaction history a transaction personality; and

classifying the consumer into one of the plurality of consumer groups based, at least in part, upon the consumer'"'"'s transaction personality.

53. The computer system of claim 52, wherein the transaction personality is based upon one or more tendencies taken from a group consisting of:

a consumer'"'"'s price-sensitivity;

a consumer'"'"'s brand loyalty;

a consumer'"'"'s product loyalty;

a consumer'"'"'s attention to promotions;

a consumer'"'"'s use of coupons;

a consumer'"'"'s attention to product layout;

a consumer'"'"'s payment method; and

a consumer'"'"'s tendency to negotiate.

54. The computer system of claim 45, wherein the transaction vehicle includes a promotional item.

55. The computer system of claim 54, wherein the step of establishing a business transaction strategy for the transaction vehicle includes one or more steps taken from a group consisting of:

modifying a promotional strategy associated with the promotional item;

setting a price for a product associated with the promotional item;

establishing a product promotion for a product associated with the promotional item;

modifying a product promotion for a product associated with the promotional item;

modifying a product position for a product associated with the promotional item within a retail establishment;

modifying a product display for a product associated with the promotional item within a retail establishment; and

modifying a coupon strategy for a product associated with the promotional item.