US Patent Issued to Maplebear on Sept. 22 for "Using trained machine-learning model of an online system to predict timing of state change of variable state item" (American, Canadian Inventors)

ALEXANDRIA, Va., Sept. 24 -- United States Patent no. 12,743,717, issued on Sept. 22, was assigned to Maplebear Inc. (San Francisco).

"Using trained machine-learning model of an online system to predict timing of state change of variable state item" was invented by Brent Scheibelhut (Toronto), Sara Starck (Arlington, Va.), Clyde Simmons Manuel (Northfield, Ohio), Brandon Sim (Chicago), Karen Kraemer Lowe (Los Altos, Calif.), Erica Jazayeri Quintana (San Francisco), Justin Kuo-Ting Tsung (San Francisco) and Richard Lam (Long Island City, N.Y.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online system uses a trained machine-learning model to predict timing of a state change of a variable state item in an ...