Uber Technologies, Inc.
REINFORCEMENT LEARNING MODEL OPTIMIZING ARRIVAL TIME FOR ON-DEMAND DELIVERY SERVICES

Abstract:

A computing system can facilitate an on-demand delivery service by receiving menu item requests and transmit corresponding order requests to menu item preparers. The system can execute one or more trained predictive models using a set of current predictive metrics for the menu item preparer to generate probability curves for driver wait time and menu item sit time against a logical cost to the on-demand delivery service. The system may then utilize the curves to determine an optimal arrival time for a selected delivery provider to pick up the menu items for delivery.