IP Library Granted Patent US 10,387,947
Granted Patent B2
US 10,387,947 · App. 15/702,595 · Granted Aug 20, 2019

Location assignment system and method

Inventors: Jonathan Alan Croy (Seattlew, WA); Joshua Logan Marti (Bellevue, WA); Michael Moricz (Bellevue, WA); Mohandas Kannan (Bothell, WA)
Assignee: Point Inside, Inc.
G06Q30/0639G06Q30/0603
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,387,947
App. No.
15/702,595
Granted
Aug 20, 2019
Kind
B2
Abstract

A location assignment system and method assigns and stores a location to each item in a retail system product line, across one or more store venues, that otherwise do not include location information, e.g., is not included in planogram data. Specific rules and algorithms assign a location for each product by inferring a location of each product lacking location information from other items that do have a location, and assigning the location of a most popularly sold item in a weighted grouping of given attributes of the item. Thus, given a complete catalog of every product sold in a given retail store system (which often runs in the tens of thousands or even hundreds of thousands of individual products—up to 40% of more of which have no location information within a planogram), the location assignment system assigns a location to every product sold.

Claims (60)

1. A method of building a product location assignment database for use by a location assignment system, the method comprising:

associating a physical location to fixtures in at least one venue;

receiving as input a unique identifier associated with each of a plurality of items in a catalog;

spatially matching a sub-plurality of the plurality of items in the catalog to a physical location in the at least one venue, forming spatially matched items;

storing the spatially matched items in a product location assignment database;

assigning, for each non-spatially matched item from among the plurality of items in the catalog, a physical location in the at least one venue based on a most popular purchased item in a given group of the spatially matched items, and

storing, in the product location assignment database, the non-spatially matched items as group matched items together with an assigned location;

wherein the given group of the spatially matched items are grouped based on a commonality of at least one product attribute associated with each of the spatially matched items.

2. The method of building a product location assignment database for use by a location assignment system according to claim 1 , wherein:

the at least one product attribute associated with each of the spatially matched items includes a brand of the spatially matched items.

3. The method of building a product location assignment database for use by a location assignment system according to claim 1 , wherein:

the product location assignment database includes at least one product attribute of each of the plurality of items stored therein.

4. The method of building a product location assignment database for use by a location assignment system according to claim 1 , wherein:

the given group of spatially matched items is grouped based on a common brand attribute associated with each of the plurality of items.

5. The method of building a product location assignment database for use by a location assignment system according to claim 1 , wherein:

the given group of spatially matched items is grouped based on a common price attribute associated with each of the plurality of items.

6. The method of building a product location assignment database for use by a location assignment system according to claim 1 , wherein:

the given group of spatially matched items is grouped based on a common size attribute associated with each of the plurality of items.

7. The method of building a product location assignment database for use by a location assignment system according to claim 1 , wherein the associating the physical location to fixtures in at least one venue comprises:

matching naming data for at least one planogram to a fixture in at least one CAD floor plan for the at least one venue.

8. A method of building a product location assignment database using RFID tag detection, for use by a location assignment system, the method comprising:

associating a physical location to fixtures in at least one venue;

receiving as input a unique identifier associated with each of a plurality of items in a catalog;

spatially matching, by a location assignment system operating on a processor, a sub-plurality of the plurality of items in the catalog to a physical location in the at least one venue, based at least in part on a detection of an RFID tag attached to the respective spatially matched items, to generate spatially matched RFID items;

storing the spatially matched RFID items in a product location assignment database;

assigning, for each non-spatially matched item in the catalog, a physical location in the at least one venue based on a most popular purchased item in a given group of the spatially matched RFID items, and

storing, in the product location assignment database, the non-spatially matched items as group matched items with an assigned location;

wherein the given group of the spatially matched RFID items are grouped based on a commonality of at least one product attribute associated with each of the spatially matched items.

9. The method of building a product location assignment database using RFID tag detection, for use by a location assignment system according to claim 8 , further comprising:

spatially matching the spatially matched RFID items further based on a planogram associated with the at least one venue.

10. The method of building a product location assignment database using RFID tag detection, for use by a location assignment system according to claim 8 , wherein:

the at least one product attribute associated with each of the spatially matched RFID items includes a brand of the spatially matched items.

11. The method of building a product location assignment database using RFID tag detection, for use by a location assignment system according to claim 8 , wherein:

the product location assignment database includes at least one product attribute associated with each of the plurality of items stored therein.

12. The method of building a product location assignment database using RFID tag detection, for use by a location assignment system according to claim 8 , wherein:

the given group of spatially matched RFID items is grouped based on a common brand attribute associated with each of the plurality of items.

13. The method of building a product location assignment database using RFID tag detection, for use by a location assignment system according to claim 8 , wherein:

the given group of spatially matched RFID items is grouped based on a common price attribute associated with each of the plurality of items.

14. The method of building a product location assignment database using RFID tag detection, for use by a location assignment system according to claim 8 , wherein:

the given group of spatially matched RFID items is grouped based on a common size attribute associated with each of the plurality of items.

15. A location assignment system for building a product location assignment database, comprising:

means for associating a physical location to fixtures in at least one venue;

means for receiving as input a unique identifier associated with each of a plurality of items in a catalog;

means for spatially matching a sub-plurality of the plurality of items in the catalog to a physical location in the at least one venue, forming spatially matched items;

means for storing the spatially matched items in a product location assignment database;

means for assigning, for each non-spatially matched item from among the plurality of items in the catalog, a physical location in the at least one venue based on a most popular purchased item in a given group of the spatially matched items, and

means for storing the non-spatially matched items as group matched items together with an assigned location;

wherein the given group of the spatially matched items are grouped based on a commonality of at least one product attribute associated with each of the spatially matched items.

16. The location assignment system for building a product location assignment database according to claim 15 , wherein:

the at least one product attribute of the grouped associated with each of the spatially matched items includes a brand of the spatially matched items.

17. The location assignment system for building a product location assignment database according to claim 15 , wherein:

the product location assignment database includes at least one product attribute of each of the plurality of items stored therein.

18. The location assignment system for building a product location assignment database according to claim 15 , wherein:

the given group of spatially matched items is grouped based on a common brand attribute associated with each of the plurality of items.

19. The location assignment system for building a product location assignment database according to claim 15 , wherein:

the given group of spatially matched items is grouped based on a common price attribute associated with each of the plurality of items.

20. The location assignment system for building a product location assignment database according to claim 15 , wherein:

the given group of spatially matched items is grouped based on a common size attribute associated with each of the plurality of items.

21. The location assignment system for building a product location assignment database according to claim 15 , wherein the associating the physical location to fixtures in at least one venue comprises:

means for matching naming data for at least one planogram to a fixture in at least one CAD floor plan for the at least one venue.

Continuity (3)
Continuation 14680963 · Apr 7, 2015
Continuation In Part 14250094 · Apr 10, 2014
Related Publication 20180005309A1 · Jan 4, 2018
Cited By (1)
US 12,406,295