Burien, WA, United States of America

Eric M Hayward


Average Co-Inventor Count = 11.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Eric M Hayward: Innovator in On-Demand Resource Scheduling

Introduction

Eric M Hayward is a notable inventor based in Burien, WA (US). He has made significant contributions to the field of resource scheduling, particularly through his work at Amazon Technologies, Inc. His innovative approach leverages machine learning to enhance the efficiency of scheduling resources for discrete tasks.

Latest Patents

Eric holds 2 patents related to on-demand resource scheduling. His latest patents describe a system and method for scheduling resources to perform discrete tasks. The scheduling features include generating schedules that are predicted to appeal to the tasked resource, such as delivery partners, based on various factors like time, day of the week, location, and item types. By utilizing machine learning, the schedules and their terms can be dynamically generated to suit the preferences of each tasked resource while also considering the overall demand for services. The modeling incorporates historical data to account for the likelihood of an offer being accepted and the risk of cancellation for a given resource. The machine learning algorithms may be based on a mixed integer problem, constrained by partner and system capacity parameters.

Career Highlights

Eric's career at Amazon Technologies, Inc. has been marked by his innovative contributions to resource scheduling. His work has significantly improved the efficiency and effectiveness of task management within the company.

Collaborations

Eric has collaborated with notable colleagues, including Senmao Liu and Jose Ramon Algara Allegre. Their teamwork has fostered an environment of innovation and creativity in their projects.

Conclusion

Eric M Hayward is a distinguished inventor whose work in on-demand resource scheduling has made a substantial impact in the field. His innovative use of machine learning continues to shape the future of resource management.

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