US Patent Issued to Maplebear on July 7 for "Using a machine learning model to predict a user's quantity ceiling for different categories of items in a catalog" (Canadian, American Inventors)

ALEXANDRIA, Va., July 7 -- United States Patent no. 12,675,816, issued on July 7, was assigned to Maplebear Inc. (San Francisco).

"Using a machine learning model to predict a user's quantity ceiling for different categories of items in a catalog" was invented by Brent Scheibelhut (Toronto), Charles Wesley (San Diego), Naval Shah (Toronto), Mark Oberemk (Toronto) and Madeline Mesard (New York).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online system trains a ceiling prediction model to determine a user's ceiling for one or more item categories. The user's ceiling for an item category is a maximum amount of an item within the item category the user is likely to include in an order. Based on previously fu...