Doordash, inc. (20250104013). OPTIMIZED ORDER FULFILLMENT FROM MULTIPLE SOURCES
OPTIMIZED ORDER FULFILLMENT FROM MULTIPLE SOURCES
Organization Name
Inventor(s)
Aman Dhesi of San Francisco CA US
Christopher Hollindale of San Francisco CA US
OPTIMIZED ORDER FULFILLMENT FROM MULTIPLE SOURCES
This abstract first appeared for US patent application 20250104013 titled 'OPTIMIZED ORDER FULFILLMENT FROM MULTIPLE SOURCES
Original Abstract Submitted
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.