Amazon Technologies, Inc.

Carl Morris

Robert Dreaper McDonald, Jr

Jose Ramon Algara Allegre

Kreethigha Thinakaran

Wilko Ziggy Schulz-Mahlendorf

Ziyan Huang

Senmao Liu

Sharath Selvaraj

Rowan William Hale

Eric M Hayward

Jingnan Li

Features related to a system and method for scheduling a resources to perform discrete tasks are described. The scheduling features include generating schedules predicted to appeal to the tasked resource (e.g., delivery partner) such as by time, day of the week, location, item types, etc. Using machine learning, the schedule and terms thereof can be dynamically generated to suit the tastes of each tasked resource and the overall demand for services. Using historical data, the modeling also accounts for likelihood an offer will be accepted and risk of cancellation for a given resource. The machine learning may be based on a mixed integer problem as constrained by partner and system capacity parameters.

On-demand resource scheduling

Growing community of inventors

Seattle, WA, United States of America

Carl Morris