US Patent Issued to Maplebear on Sept. 16 for "Using a trained model to predict a user's price sensitivity based on data acquired from in-store sensors" (Canadian, American Inventors)

ALEXANDRIA, Va., Sept. 17 -- United States Patent no. 12,417,465, issued on Sept. 16, was assigned to Maplebear Inc. (San Francisco).

"Using a trained model to predict a user's price sensitivity based on data acquired from in-store sensors" was invented by Brent Scheibelhut (Toronto), Charles Wesley (San Diego), Naval Shah (Toronto) and Madeline Mesard (New York).

According to the abstract* released by the U.S. Patent & Trademark Office: "A trained model is used to determine a price sensitivity feature for a user of an online system. The online system generates input data by gathering replacement data via a user interface at a device associated with the user and/or in-store behavior data related to replacement of items performed by the us...