US Patent Issued to Maplebear on Feb. 10 for "Trained machine learning models for predicting replacement items using expiration dates" (California Inventors)

ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,548,062, issued on Feb. 10, was assigned to Maplebear Inc. (San Francisco).

"Trained machine learning models for predicting replacement items using expiration dates" was invented by Ramasubramanian Balasubramanian (San Francisco) and Sharath Rao Karikurve (Berkeley, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A specific item is identified to suggest a replacement therefor to a user. A set of candidate replacement items for the specific item is determined. For at least one of the candidate replacement items, an expiration score is determined based on expiration information associated with the item. A replacement score for the candidate replacem...