CROWDSOURCING RETAIL PRICE AND LOCATION METHOD AND SYSTEM

• US 20150161704A1
• Filed: 12/10/2013
• Published: 06/11/2015
• Est. Priority Date: 12/10/2013
• Status: Abandoned Application

• Current Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Lempel, Ronny
• Application Number:
  US14/101,571
• Publication Number:
  US 20150161704A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0629 for generating comparisons
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A crowdsourcing approach is used to collect from contributors, e.g., a large group of consumers, item pricing offered by the sellers from which the contributors have purchased the items. A contributor may provide item pricing information associated with a given store by uploading a receipt from the store, which receipt identifies the item(s) purchased by the contributor and a price for each item purchased, store information, e.g., store name, location, telephone number, etc. A database or other data store may be used to maintain contributor, store and item information. The stored information may identify which store is/are selling which item(s) and at what price(s). A shopping list may be generated, which includes information identifying one or more items and, for each item, the store at which the item(s) may be purchased at the lowest available price relative to other stores. By analyzing consumers'"'"' shopping habits, personalized target of ads and/or promotions can be achieved.

Claims

1. A method comprising:

receiving, using at least one computing device, crowdsourced item pricing information, at least some of the crowdsourced item pricing information is extracted from a plurality of receipts received from a plurality of contributing users, each receipt of the plurality identifying a seller, at least one item purchased from the seller and a corresponding price of the item;

maintaining, using the at least one computing device, a data store including the crowdsourced item pricing information comprising information for each of a plurality of sellers, item information for each of a plurality of items and user information for each of the plurality of contributing users;

receiving, using the at least one computing device and from a requester, an item pricing request for one or more items; and

providing a response, using the at least one computing device and the crowdsourced item pricing information, the response identifying, for each item of the one or more items, a seller from the plurality of sellers determined to offer the item at a lowest item price relative to other sellers of the plurality considered for the response and the seller'"'"'s price for the item.

2. The method of claim 1, the item pricing request comprising a shopping cart identifying multiple items, the response splitting the items in the shopping cart among multiple sellers of the plurality, each of the multiple sellers determined to offer at least one of the multiple items at the lowest price relative to the other sellers of the plurality considered for the response, the response associating each one of the multiple items with one of the multiple sellers.

3. The method of claim 1, the sellers of the plurality of sellers considered for the response comprise those sellers located within a specific geographic area, such that, for each item of the one or more items, the seller from the plurality of sellers determined to be located within the geographic area and to offer the item at the lowest price relative to other sellers of the plurality of sellers located in the geographic area.

4. The method of claim 3, the geographic area is determined using a geographic location of a seller identified for the response.

5. The method of claim 3, the geographic area is determined using the requester'"'"'s geographic location.

6. The method of claim 1, the crowdsourcing item pricing information is used to identify item purchasing histories across multiple sellers of the plurality of sellers for at least one contributing user of the plurality of contributing users.

7. The method of claim 1, the item purchasing histories of multiple ones of the contributing users of the plurality are identified and used for at least one of targeted advertising and targeted promotion.

8. The method of claim 1, for at least one of the one or more items, the request identifies a seller and the request comprises a request to determine whether the identified seller is offering the item at the lowest price relative to other sellers of the plurality located within a geographic area determined using the requester'"'"'s current geographic location.

9. The method of claim 1, the crowdsourcing item pricing information is used to generate an item recommendation for at least one contributing user of the plurality, the item recommendation comprising at least one item purchased by one or more other contributing users of the plurality determined to be similar to the at least one contributing user using the crowdsourcing item pricing information.

10. The method of claim 1, the request is a request to alert the requester if a price of an item of the one or more items falls below a specified price, the method further comprising:

providing, using the at least one computing device, a notification to the requester when the item of the one or more items falls below the specific price.

11. The method of claim 1, the response identifying a number of sellers that is based on a selection criterion limiting the number of sellers selected for the response.

12. The method of claim 1, the crowdsourcing item pricing information is used to target at least one contributing user for at least one of one or more advertisements and one or more promotions.

13. The method of claim 1, the method further comprising:

identifying, using the at least one computing device, at least one trend for a contributing user of the plurality of contributing users using crowdsourcing item pricing information provided by the contributing user.

14. The method of claim 13, the at least one trend comprising one or more of the contributing user'"'"'s spending relative to one or more of at least one item of the plurality of items, at least one category and at least one seller of the plurality of sellers.

15. The method of claim 1, the method further comprising:

identifying, using the at least one computing device, at least one trend using crowdsourcing item pricing information aggregated across more than one contributing user of the plurality of contributing users.

16. The method of claim 15, the at least one trend comprising a price of an item over a given time period for at least one seller of the plurality of sellers.

17. The method of claim 16, the at least one seller is within a geographic area.

18. The method of claim 15, the at least one trend comprising a pricing trend aggregated for at least one category and across more than one contributing user of the plurality of contributing users.

19. The method of claim 15, the at least one trend comprising a spending average aggregated across more than one contributing user of the plurality of contributing users.

20. The method of claim 19, the spending average aggregated across more than one contributing user of the plurality of contributing users is for a given period of time.

21. The method of claim 19, the spending average comprises an average shopping list total price determined by aggregating total prices of shopping lists of the more than one contributing user of the plurality of contributing users.

22. The method of claim 19, the spending average comprises an average spending determined by aggregating total amounts spent from receipts of the plurality of receipts received from the more than one contributing user of the plurality of contributing users.

23. A system comprising:

at least one computing device comprising one or more processors to execute and memory to store instructions to;

receive crowdsourced item pricing information, at least some of the crowdsourced item pricing information is extracted from a plurality of receipts received from a plurality of contributing users, each receipt of the plurality identifying a seller, at least one item purchased from the seller and a corresponding price of the item;

maintain a data store including the crowdsourced item pricing information comprising information for each of a plurality of sellers, item information for each of a plurality of items and user information for each of the plurality of contributing users;

receive, from a requester, an item pricing request for one or more items; and

provide a response, using the crowdsourced item pricing information, the response identifying, for each item of the one or more items, a seller from the plurality of sellers determined to offer the item at a lowest item price relative to other sellers of the plurality considered for the response and the seller'"'"'s price for the item.

24. The system of claim 23, the request comprising a shopping cart identifying multiple items, the response splitting the items in the shopping cart among multiple sellers of the plurality, each of the multiple sellers determined to offer at least one of the multiple items at the lowest price relative to the other sellers of the plurality considered for the response, the response associating each one of the multiple items with one of the multiple sellers.

25. The system of claim 23, the sellers of the plurality of sellers considered for the response comprise those sellers located within a specific geographic area, such that, for each item of the one or more items, the seller from the plurality of sellers determined to be located within the geographic area and to offer the item at the lowest price relative to other sellers of the plurality of sellers located in the geographic area.

26. The system of claim 25, the geographic area is determined using a geographic location of a seller identified for the response.

27. The system of claim 25, the geographic area is determined using the requester'"'"'s geographic location.

28. The system of claim 23, the crowdsourcing item pricing information is used to identify item purchasing histories across multiple sellers of the plurality of sellers for at least one contributing user of the plurality of contributing users.

29. The system of claim 23, the item purchasing histories of multiple ones of the contributing users of the plurality are identified and used for at least one of targeted advertising and targeted promotion.

30. The system of claim 23, for at least one of the one or more items, the request identifies a seller and the request comprises a request to determine whether the identified seller is offering the item at the lowest price relative to other sellers of the plurality located within a geographic area determined using the requester'"'"'s current geographic location.

31. The system of claim 23, the crowdsourcing item pricing information is used to generate an item recommendation for at least one contributing user of the plurality, the item recommendation comprising at least one item purchased by one or more other contributing users of the plurality determined to be similar to the at least one contributing user using the crowdsourcing item pricing information.

32. The system of claim 23, the request is a request to alert the requester if a price of an item of the one or more items falls below a specified price, the instructions further comprising instructions to:

provide a notification to the requester when the item of the one or more items falls below the specific price.

33. The system of claim 23, the response identifying a number of sellers that is based on a selection criterion limiting the number of sellers selected for the response.

34. The system of claim 23, the crowdsourcing item pricing information is used to target at least one contributing user for at least one of one or more advertisements and one or more promotions.

35. The system of claim 23, the instructions further comprising instructions to:

identify at least one trend for a contributing user of the plurality of contributing users using crowdsourcing item pricing information provided by the contributing user.

36. The system of claim 35, the at least one trend comprising one or more of the contributing user'"'"'s spending relative to one or more of at least one item of the plurality of items, at least one category and at least one seller of the plurality of sellers.

37. The system of claim 23, the instructions further comprising instructions to:

identify at least one trend using crowdsourcing item pricing information aggregated across more than one contributing user of the plurality of contributing users.

38. The system of claim 37, the at least one trend comprising a price of an item over a given time period for at least one seller of the plurality of sellers.

39. The system of claim 38, the at least one seller is within a geographic area.

40. The system of claim 37, the at least one trend comprising a pricing trend aggregated for at least one category and across more than one contributing user of the plurality of contributing users.

41. The system of claim 37, the at least one trend comprising a spending average aggregated across more than one contributing user of the plurality of contributing users.

42. The system of claim 41, the spending average aggregated across more than one contributing user of the plurality of contributing users is for a given period of time.

43. The system of claim 41, the spending average comprises an average shopping list total price determined by aggregating total prices of shopping lists of the more than one contributing user of the plurality of contributing users.

44. The system of claim 41, the spending average comprises an average spending determined by aggregating total amounts spent from receipts of the plurality of receipts received from the more than one contributing user of the plurality of contributing users.

45. A computer readable non-transitory storage medium for tangibly storing thereon computer readable instructions that when executed cause at least one processor to:

receive crowdsourced item pricing information, at least some of the crowdsourced item pricing information is extracted from a plurality of receipts received from a plurality of contributing users, each receipt of the plurality identifying a seller, at least one item purchased from the seller and a corresponding price of the item;

maintain a data store including the crowdsourced item pricing information comprising information for each of a plurality of sellers, item information for each of a plurality of items and user information for each of the plurality of contributing users;

receive, from a requester, an item pricing request for one or more items; and

provide a response, using the crowdsourced item pricing information, the response identifying, for each item of the one or more items, a seller from the plurality of sellers determined to offer the item at a lowest item price relative to other sellers of the plurality considered for the response and the seller'"'"'s price for the item.

46. The computer readable non-transitory storage medium of claim 45, the request comprising a shopping cart identifying multiple items, the response splitting the items in the shopping cart among multiple sellers of the plurality, each of the multiple sellers determined to offer at least one of the multiple items at the lowest price relative to the other sellers of the plurality considered for the response, the response associating each one of the multiple items with one of the multiple sellers.

47. The computer readable non-transitory storage medium of claim 45, the sellers of the plurality of sellers considered for the response comprise those sellers located within a specific geographic area, such that, for each item of the one or more items, the seller from the plurality of sellers determined to be located within the geographic area and to offer the item at the lowest price relative to other sellers of the plurality of sellers located in the geographic area.

48. The computer readable non-transitory storage medium of claim 47, the geographic area is determined using a geographic location of a seller identified for the response.

49. The computer readable non-transitory storage medium of claim 47, the geographic area is determined using the requester'"'"'s geographic location.

50. The computer readable non-transitory storage medium of claim 45, the crowdsourcing item pricing information is used to identify item purchasing histories across multiple sellers of the plurality of sellers for at least one contributing user of the plurality of contributing users.

51. The computer readable non-transitory storage medium of claim 45, the item purchasing histories of multiple ones of the contributing users of the plurality are identified and used for at least one of targeted advertising and targeted promotion.

52. The computer readable non-transitory storage medium of claim 45, for at least one of the one or more items, the request identifies a seller and the request comprises a request to determine whether the identified seller is offering the item at the lowest price relative to other sellers of the plurality located within a geographic area determined using the requester'"'"'s current geographic location.

53. The computer readable non-transitory storage medium of claim 45, the crowdsourcing item pricing information is used to generate an item recommendation for at least one contributing user of the plurality, the item recommendation comprising at least one item purchased by one or more other contributing users of the plurality determined to be similar to the at least one contributing user using the crowdsourcing item pricing information.

54. The computer readable non-transitory storage medium of claim 45, the request is a request to alert the requester if a price of an item of the one or more items falls below a specified price, the instructions further comprising instructions to:

provide a notification to the requester when the item of the one or more items falls below the specific price.

55. The computer readable non-transitory storage medium of claim 45, the response identifying a number of sellers that is based on a selection criterion limiting the number of sellers selected for the response.

56. The computer readable non-transitory storage medium of claim 45, the crowdsourcing item pricing information is used to target at least one contributing user for at least one of one or more advertisements and one or more promotions.

57. The computer readable non-transitory storage medium of claim 45, the instructions further comprising instructions to:

identify at least one trend for a contributing user of the plurality of contributing users using crowdsourcing item pricing information provided by the contributing user.

58. The computer readable non-transitory storage medium of claim 57, the at least one trend comprising one or more of the contributing user'"'"'s spending relative to one or more of at least one item of the plurality of items, at least one category and at least one seller of the plurality of sellers.

59. The computer readable non-transitory storage medium of claim 45, the instructions further comprising instructions to:

identify at least one trend using crowdsourcing item pricing information aggregated across more than one contributing user of the plurality of contributing users.

60. The computer readable non-transitory storage medium of claim 59, the at least one trend comprising a price of an item over a given time period for at least one seller of the plurality of sellers.

61. The computer readable non-transitory storage medium of claim 60, the at least one seller is within a geographic area.

62. The computer readable non-transitory storage medium of claim 59, the at least one trend comprising a pricing trend aggregated for at least one category and across more than one contributing user of the plurality of contributing users.

63. The computer readable non-transitory storage medium of claim 59, the at least one trend comprising a spending average aggregated across more than one contributing user of the plurality of contributing users.

64. The computer readable non-transitory storage medium of claim 63, the spending average aggregated across more than one contributing user of the plurality of contributing users is for a given period of time.

65. The computer readable non-transitory storage medium of claim 63, the spending average comprises an average shopping list total price determined by aggregating total prices of shopping lists of the more than one contributing user of the plurality of contributing users.

66. The computer readable non-transitory storage medium of claim 63, the spending average comprises an average spending determined by aggregating total amounts spent from receipts of the plurality of receipts received from the more than one contributing user of the plurality of contributing users.