Patents by Inventor Rowan William Hale

Rowan William Hale has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • On-demand resource scheduling
    Patent number: 11836654
    Abstract: 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.
    Type: Grant
    Filed: May 3, 2021
    Date of Patent: December 5, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Senmao Liu, Jose Ramon Algara Allegre, Rowan William Hale, Eric M. Hayward, Ziyan Huang, Jingnan Li, Robert Dreaper McDonald, Jr., Carl Morris, Wilko Ziggy Schulz-Mahlendorf, Sharath Selvaraj, Kreethigha Thinakaran
  • ON-DEMAND RESOURCE SCHEDULING
    Publication number: 20210326788
    Abstract: 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.
    Type: Application
    Filed: May 3, 2021
    Publication date: October 21, 2021
    Inventors: Senmao Liu, Jose Ramon Algara Allegre, Rowan William Hale, Eric M. Hayward, Ziyan Huang, Jingnan Li, Robert Dreaper McDonald, JR., Carl Morris, Wilko Ziggy Schulz-Mahlendorf, Sharath Selvaraj, Kreethigha Thinakaran
  • On-demand resource scheduling
    Patent number: 11010697
    Abstract: 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.
    Type: Grant
    Filed: February 14, 2018
    Date of Patent: May 18, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Senmao Liu, Jose Ramon Algara Allegre, Rowan William Hale, Eric M. Hayward, Ziyan Huang, Jingnan Li, Robert Dreaper McDonald, Jr., Carl Morris, Wilko Ziggy Schulz-Mahlendorf, Sharath Selvaraj, Kreethigha Thinakaran