US Patent Issued to Maplebear on June 2 for "Using a trained machine-learning model of an online system to handle unclaimed online pickup orders" (Canadian, American Inventors)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,646,032, issued on June 2, was assigned to Maplebear Inc. (San Francisco).

"Using a trained machine-learning model of an online system to handle unclaimed online pickup orders" was invented by Mark Oberemk (Toronto), Brent Scheibelhut (Toronto), Amalia Rothschild-Keita (Berkeley, Calif.), Hua Xiao (Toronto), Charles Wesley (San Diego) and Naval Shah (Toronto).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online system uses a trained model for intelligent handling of unclaimed online pickup orders. After identifying that an order placed by a user of the online system is unclaimed at a location of a source, the online system obtains, from a device of a ...