Computer-assisted shopping and product location

• US 10,402,895 B2
• Filed: 08/18/2017
• Issued: 09/03/2019
• Est. Priority Date: 11/07/2012
• Status: Active Grant

• Current Assignee: Hand Held Products Incorporated (Honeywell International Inc.)
• Original Assignee: Hand Held Products Incorporated (Honeywell International Inc.)
• Inventors: Richardson, Neil
• Primary Examiner(s): Civan, Ethan D
• Application Number:
  US15/680,357
• Publication Number:
  US 20170345086A1
• Time in Patent Office: 746 Days
• Field of Search: 705 261- 272
• CPC Class Codes: G06Q 30/0639 Item locations

Abstract

In general, techniques are described that enable crowdsourcing of product-related information. Product-related information may include availability and intra-store locations of various products at particular stores. An example system includes an interface, a memory, and one or more programmable processors configured to receive, at the interface an intra-store product location from a first client device, the intra-store product location indicating a location of a product within a store. The programmable processor(s) are further configured to store, to at least one storage device coupled to the system and in association with the product, the received intra-store product location, receive, at the interface, a request associated with the product from a second client device, and send, from the interface, the intra-store product location to the second client device in response to receiving the request associated with the product.

Claims

1. A method, comprising:

receiving, at a crowd-sourced database associated with a plurality of stores, at least one of;

a first request to add a product to a shopping list;

or an intra-store product location indicating a location of a product within a store, from a first client device to update the crowd-sourced database, wherein the crowd-source database comprises information about a plurality of products including the product, a plurality of shopping lists including the shopping list, the plurality of stores including the store, and wherein the first client device is one of a plurality of client devices;

receiving, at the crowd-sourced database, a second request to access the shopping list from a second client device from amongst the plurality of client devices to access the shopping list; and

sending, by the crowd-sourced database, in response to detection of the second device being within a proximity of the store location and the second request received from the second client device, an updated version of the shopping list to the second device, the shopping list having been updated based on the first request by the first client device;

wherein the updated version of the shopping list comprises;

an identifying information for the product and the intra-store product location, and

wherein the identifying information for the product and the intra-store product location are associated with each another in the updated version of the shopping list.

2. The method of claim 1, wherein detecting, by the crowd-sourced database, that the second client device is in the proximity to the store location comprises:

receiving, from the second client device, one or more location coordinates associated with the second client device; and

comparing the location coordinates associated with the second client device to one or more location coordinates associated with the store.

3. The method of claim 1, wherein detecting, by the crowd-sourced database, that the second client device is in the proximity to the store location comprises:

triangulating a position of the second client device; and

comparing the triangulated position of the second client device to one or more location coordinates associated with the store.

4. The method of claim 1, further comprising storing, at the crowd-sourced database, the first request to add the product to the shopping list in at least one storage device.

5. The method of claim 1, further comprising storing, at the crowd-sourced database, the intra-store product location indicating the location of the product within the store in at least one storage device.

6. The method of claim 1, further comprising receiving at the crowd-sourced database, subsequent to sending identifying information for a product and an intra-store product location to the second client device, an updated intra-store product location associated with the product, the updated intra-store product location being different from the intra-store product location and stores, in at least one storage device, the updated intra-store product location in place of the intra-store product location.

7. The method of claim 6, further comprising receiving, at the crowd-sourced database, a third request associated with the product from a third client device and sends the updated intra-store product location to the third client device.

8. The method of claim 7, further comprising receiving, at the crowd-sourced database, a fourth request to add the product to a shopping list from the third client device.

9. The method of claim 8, wherein the fourth request associated with the product comprises a machine-readable code associated with the product.

10. A method, comprising:

receiving, at a crowd-sourced database associated with a plurality of stores, at least one of;

a first request to add a product to a shopping list;

or an intra-store product location indicating a location of a product within a store, from a first client device to update the crowd-sourced database, wherein the crowd-source database comprises information about a plurality of products including the product, a plurality of shopping lists including the shopping list, the plurality of stores including the store, and wherein the first client device is one of a plurality of client devices;

receiving, at the crowd-sourced database, a second request to access the shopping list from a second client device from amongst the plurality of client devices to access the shopping list;

sending, by the crowd-sourced database in response to detection of the second device being within a proximity of the store location and the second request received from the second client device, an updated version of the shopping list to the second device from the crowd-sourced database, the shopping list having been updated based on the first request by the first client device;

wherein the updated version of the shopping list comprises;

an identifying information for the product and the intra-store product location and wherein the identifying information for the product and the intra-store product location are associated with each another in the updated version of the shopping list; and

receiving, at the crowd-sourced database, subsequent to receiving the updated version of the shopping list with the second client device, an updated intra-store product location associated with the product from the second client device, the updated intra-store product location being different from the intra-store product location.

11. The method of claim 10, wherein detecting, by the crowd-sourced database, that the second client device is in proximity to the store location comprises:

receiving, from the second client device, one or more location coordinates associated with the second client device; and

comparing the location coordinates associated with the second client device to one or more location coordinates associated with the store.

12. The method of claim 10, wherein detecting, by the crowd-sourced database, that the second client device is in proximity to the store location comprises:

triangulating a position of the second client device; and

comparing the triangulated position of the second client device to one or more location coordinates associated with the store.

13. The method of claim 10, further comprising storing, at the crowd-sourced database, the first request to add the product to the shopping list in at least one storage device.

14. The method of claim 10, further comprising storing, at the crowd-sourced database, the intra-store product location indicating the location of the product within the store in at least one storage device.

15. The method of claim 10, further comprising receiving at the crowd-sourced database, subsequent to sending identifying information for a product and an intra-store product location to the second client device, an updated intra-store product location associated with the product, the updated intra-store product location being different from the intra-store product location and stores, in at least one storage device, the updated intra-store product location in place of the intra-store product location.

16. The method of claim 15, further comprising receiving, at the crowd-sourced database, a third request associated with the product from a third client device and sends the updated intra-store product location to the third client device.

17. The method of claim 16, further comprising receiving, at the crowd-sourced database, a fourth request to add the product to a shopping list from the third client device.

18. The method of claim 17, wherein the fourth request associated with the product comprises a machine-readable code associated with the product.