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:
Jul. 07, 2026

Filed:

Oct. 02, 2024
Applicant:

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

Inventors:

Aman Dhesi, San Francisco, CA (US);

Christopher Hollindale, San Francisco, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/087 (2023.01); G06Q 10/083 (2024.01);
U.S. Cl.
CPC ...
G06Q 10/087 (2013.01); G06Q 10/083 (2013.01);
Abstract

The present disclosure generally pertains to systems and methods of order fulfillment using a fulfillment engine, which optimizes the allocation of client or user orders to third party merchants for fulfillment through the use of linear programming or machine learning. This optimization occurs by loading a series of relevant merchant attributes and client attributes into an optimizer with the order and analyzing the attributes to determine an optimal allocation of client orders to third party merchants. These orders are issued to the merchants and where necessary the system arranges delivery of the orders to the client. The system may also automatically update future orders in response to client feedback.


Find Patent Forward Citations

Dhesi, Aman. (2026). Optimized order fulfillment from multiple sources (U.S. Patent No. 12675769). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12675769

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

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