Automatic product groupings for merchandising

Patent metadata

Field	Value
Publication number	US-9811851-B2
Application number	US-201414283789-A
Country	US
Kind code	B2
Filing date	May 21, 2014
Priority date	Jul 1, 2011
Publication date	Nov 7, 2017
Grant date	Nov 7, 2017

Abstract

Disclosed are various embodiments for defining subcategories of items to be used in merchandising. The subcategories may be defined on the basis of item data and/or sales data for the items. Based on a distribution of the items in accordance with one or more of the item and/or sales data, implicit groups or subcategories can be identified and selected for merchandising purposes.

First claim

Therefore, the following is claimed:

1. A system comprising:
an electronic data store configured to at least store specific computer-executable instructions; and
a computing device comprising a hardware processor, the computing device being in communication with the electronic data store and configured to execute the computer-executable instructions to at least:
receive item data associated with items offered on a network site;
detect at least two implicit groupings of the items based at least in part on a distribution of the items in accordance with the item data;
encode for display a network page of the network site having an option to view the at least two implicit groupings of the items;
determine a number of visits that each of the at least two implicit groupings receives from users; and
reassign items among the at least two implicit groupings according to the number of visits.

2. The system of claim 1 , wherein the item data comprises current pricing information for the items.

3. The system of claim 1 , wherein the item data comprises at least one keyword used in a description for at least one of the items.

4. The system of claim 1 , wherein the item data comprises at least one keyword used in a review for at least one of the items.

5. The system of claim 1 , wherein the computing device is further configured to execute the computer-executable instructions to at least:
identify, based at least in part on a purchase history of a user, a particular implicit grouping out of the at least two implicit groupings that is preferred by the user; and
encoding the network page of the network site to include a recommendation for the user to view the particular implicit grouping.

6. The system of claim 1 , wherein the computing device is further configured to execute the computer-executable instructions to at least:
identify a particular implicit grouping out of the at least two implicit groupings that correspond to an item price range preferred by a user, the item price range preferred by the user determined based at least in part on a purchase history of the user; and
encoding the network page of the network site to include a recommendation for the user to view the particular implicit grouping.

7. The system of claim 1 , wherein the computing device is further configured to execute the computer-executable instructions to at least:
identify a particular implicit grouping out of the at least two implicit groupings based at least in part on a browsing preference of a user indicated in a browsing history of the user; and
encoding the network page of the network site to include a recommendation for the user to view the particular implicit grouping.

8. A computer-implemented method comprising the following that are performed under control of one or more computer systems configured with specific executable instructions:
receiving item data associated with items offered via a network site;
detecting at least two implicit groupings of the items based at least in part on a distribution of the items evident in the item data;
encoding for display at least one network page of the network site having an option to view the at least two implicit groupings of the items;
determining a number of visits that each of the at least two implicit groupings receives from users; and
reassigning items among the at least two implicit groupings according to the number of visits.

9. The computer-implemented method of claim 8 , further comprising:
determining whether each of the at least two implicit groupings of the items includes at least one item belonging to a particular class of items; and
redistributing the items to at least one different grouping of the items in response to determining that one or more of the at least two implicit groupings of the items does not include the at least one item belonging to the particular class of items.

10. The computer-implemented method of claim 8 , further comprising:
causing presentation, to a first set of users during a trial period, of an option to view the items grouped in at least one implicit grouping of the items;
causing presentation, to a second set of users during the trial period, of an option to view the items grouped in at least one different grouping of the items; and
monitoring which of the at least one implicit grouping or the at least one different grouping generates a greater number of actions by users.

11. The computer-implemented method of claim 8 , wherein the item data comprises at least one keyword used in a review for at least one of the items.

12. The computer-implemented method of claim 8 , wherein the item data comprises current recent sales volume data for the items.

13. The computer-implemented method of claim 8 , further comprising:
identifying, based at least in part on a purchase history of a user, a particular implicit grouping from the at least two implicit groupings preferred by the user; and
causing presentation of a recommendation for the user to view the particular implicit grouping.

14. The computer-implemented method of claim 8 , further comprising:
identifying, based at least in part on a browsing history of a user, a particular implicit grouping from the at least two implicit groupings preferred by the user; and
causing presentation of a recommendation for the user to view the particular implicit grouping.

Assignees

• Amazon Tech Inc

Inventors

• Fox Eric B
• Dillard Logan Luyet
• Mongrain Scott Allen

Classifications

• G06Q30/0601

  Electronic shopping [e-shopping] · CPC title

• G06Q30/0201

  Market modelling; Market analysis; Collecting market data · CPC title

• G06Q30/0631 Primary

  Recommending goods or services · CPC title

• G06Q30/0253

  During e-commerce, i.e. online transactions · CPC title

• G06Q30/0255

  based on user history · CPC title