US Patent Issued to Maplebear on April 15 for "Training a machine learning model to estimate a time for a shopper to select an order for fulfillment and accounting for the estimated time to select when grouping orders" (California Inventors)

ALEXANDRIA, Va., June 5 -- United States Patent no. 12,277,584, issued on April 15, was assigned to Maplebear Inc. (San Francisco).

"Training a machine learning model to estimate a time for a shopper to select an order for fulfillment and accounting for the estimated time to select when grouping orders" was invented by Greg Reda (San Francisco), Jagannath Putrevu (Daly City, Calif.) and Kevin Charles Ryan (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online concierge system receives orders from users identifying items and a warehouses from which the items are obtained. The online concierge system displays groups of one or more orders to shoppers, allowing a shopper to select a group of ord...