ALEXANDRIA, Va., Oct. 28 -- United States Patent no. 12,450,561, issued on Oct. 21, was assigned to Maplebear Inc. (San Francisco).

"Machine learning model for dynamically boosting order delivery time" was invented by Konrad Gustav Miziolek (San Francisco) and Parikshit Verma (College Station, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method or a system for using machine learning to dynamically boost order delivery time. The system receives an order associated with a delivery time and a compensation value. The system applies a machine-learning model to an order to predict an amount of lateness time that an order will be fulfilled late. The system then determines a lateness value based in part on...