US Patent Issued to Maplebear on Feb. 10 for "Machine learning model trained to predict user interactions with items for inventory assortment" (California, Texas Inventors)

ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,547,978, issued on Feb. 10, was assigned to Maplebear Inc. (San Francisco).

"Machine learning model trained to predict user interactions with items for inventory assortment" was invented by Haochen Luo (Conroe, Texas), Kenneth Jason Sanchez (Orange, Calif.) and Eric Hermann (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "An inventory interaction model predicts user interactions with items to be included in an item assortment in a warehouse. The item is described with features that include the co-located items and the respective user interactions, so that the item interactions for the evaluated item incorporate item-item effects in its pred...