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 12793120 B1

Date of Patent:

Nov. 10, 2026

Filed:

Apr. 12, 2024

Methods, non-tranitory computer readable storage mediums, and systems including a model trained to map textual data from scanned receipts to items from an order

Applicant:

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

Inventors:

Bo Xu, San Francisco, CA (US);

Rebecca Riso, Croton-on-Hudson, NY (US);

Ashish Sinha, Jersey City, NJ (US);

Chencheng Wu, Los Altos, CA (US);

Chun-Che Wang, Seattle, WA (US);

Kenneth Jason Sanchez, Orange, CA (US);

Assignee:

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

Attorney:

Fenwick & West LLP

Primary Examiner:

Arielle E Weiner

Int. Cl.

CPC ...

G06Q 30/00 (2023.01); G06Q 30/0601 (2023.01); G06V 10/77 (2022.01); G06V 30/19 (2022.01);

U.S. Cl.

CPC ...

G06Q 30/0635 (2013.01); G06V 10/7715 (2022.01); G06V 30/19147 (2022.01);

Abstract

An online concierge system trains a computer model to map receipt item labels to order item identifiers, enabling the online concierge system to identify discrepancies between receipt items and customer order items. The online concierge system identifies a training set of data comprising quantities of receipt item labels and corresponding orders having quantities of order item identifiers and trains the computer model to predict quantities of order item identifiers based on the set of training data. The online concierge system applies a one-hot encoding for a receipt item label to determine predicted order item identifiers and maps the receipt item label to order item identifiers based on the predictions.

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Quick Actions:

Xu, Bo. (2026). Methods, non-tranitory computer readable storage mediums, and systems including a model trained to map textual data from scanned receipts to items from an order (U.S. Patent No. 12793120). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12793120

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile