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.

Date of Patent:
Jun. 23, 2026

Filed:

Dec. 23, 2024
Applicant:

Maplebear Inc., San Francisco, CA (US);

Inventors:

Brent Scheibelhut, Toronto, CA;

Naval Shah, Toronto, CA;

Mark Oberemk, Toronto, CA;

Charles Wesley, San Diego, CA (US);

Michael John Remmer Ryzewic, Ithaca, NY (US);

Hua Xiao, Toronto, CA;

Assignee:

Maplebear Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/10 (2012.01); G06Q 10/20 (2023.01); G06T 7/00 (2017.01); G01G 23/01 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/20 (2013.01); G06T 7/0002 (2013.01); G01G 23/01 (2013.01); G06T 2207/20081 (2013.01);
Abstract

An online system leverages a cart issue prediction model trained as a machine-learning model to identify predicted issues with the operation of a smart cart based on sensor data captured by sensors on the smart cart and/or feedback from a user of the smart cart. The machine-learning model is trained on historical data related to the operation of a fleet of smart carts. In response to identifying any cart issues, the online system can trigger a remedial workflow to remedy the predicted issues. The online system may transmit command signals to the smart cart to calibrate the sensors, may transmit remedial tasks to a client device of the user for prompting the user to aid in remedying the predicted issues, or may schedule a service appointment with a technician, including an issue report indicating the predicted issues.


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