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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 10846512 B1

PDFFull Text
Date of Patent:
Nov. 24, 2020

Filed:

Sep. 23, 2019

Updating online store inventory based on physical store inventory

Applicant:

Trax Technology Solutions Pte Ltd.;

Inventors:

Yair Adato, Kfar Shmuel, IL;

Nir Hemed, Tel Aviv, IL;

Yotam Michael, Rosh Haayin, IL;

Alon Grubshtein, Lehavim, IL;

David M. Gottlieb, Denver, CO (US);

Assignee:

TRAX TECHNOLOGY SOLUTIONS PTE LTD., Singapore, SG;

Attorney:

Finnegan, Henderson, Farabow, Garrett & Dunner, LLP

Primary Examiner:

Alex Kok S Liew

Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06Q 20/20 (2012.01); H04N 5/232 (2006.01); G06Q 10/08 (2012.01); G06F 16/583 (2019.01); G06T 7/73 (2017.01); G06F 16/23 (2019.01); G06F 16/28 (2019.01); G06K 9/62 (2006.01); G06Q 30/06 (2012.01); G06T 7/70 (2017.01); G06Q 10/06 (2012.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06T 7/55 (2017.01); G06T 7/521 (2017.01); H04N 5/225 (2006.01); H04N 5/247 (2006.01); G06F 16/55 (2019.01); G06F 17/18 (2006.01); G06Q 50/28 (2012.01); G08B 21/18 (2006.01); G06K 9/32 (2006.01); G06F 16/903 (2019.01); G06T 7/13 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00201 (2013.01); G06F 16/23 (2019.01); G06F 16/235 (2019.01); G06F 16/288 (2019.01); G06F 16/55 (2019.01); G06F 16/583 (2019.01); G06F 16/5846 (2019.01); G06F 16/90335 (2019.01); G06F 17/18 (2013.01); G06K 9/00362 (2013.01); G06K 9/00624 (2013.01); G06K 9/00671 (2013.01); G06K 9/00771 (2013.01); G06K 9/325 (2013.01); G06K 9/6231 (2013.01); G06Q 10/06311 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/063112 (2013.01); G06Q 10/087 (2013.01); G06Q 10/0875 (2013.01); G06Q 20/203 (2013.01); G06Q 30/0629 (2013.01); G06Q 30/0639 (2013.01); G06Q 30/0643 (2013.01); G06Q 50/28 (2013.01); G06T 7/0002 (2013.01); G06T 7/13 (2017.01); G06T 7/20 (2013.01); G06T 7/521 (2017.01); G06T 7/55 (2017.01); G06T 7/70 (2017.01); G06T 7/75 (2017.01); G08B 21/18 (2013.01); G08B 21/182 (2013.01); H04N 5/2252 (2013.01); H04N 5/2253 (2013.01); H04N 5/23203 (2013.01); H04N 5/23219 (2013.01); H04N 5/23229 (2013.01); H04N 5/247 (2013.01); G06K 2209/01 (2013.01); G06K 2209/17 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30242 (2013.01);
Abstract

A system for identifying products and tracking inventory in a retail store based on analysis of image data is provided. The system may comprise at least one processor configured to receive image data from a plurality of image sensors mounted in a retail store; analyze the image data to estimate a current inventory of at least one product type in the retail store; receive product supply information associated with the at least one product type in the retail store; determine that an online order from a virtual store made during a first time period will be fulfilled by an employee of the retail store during a second time period; determine a predicted inventory of the at least one product type during the second time period; and provide information to the virtual store regarding the predicted inventory of the at least one product type during the second time period.

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