Patents by Inventor Ian Andrew Hepworth

Ian Andrew Hepworth 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).

  • USING ARTIFICIAL INTELLIGENCE TO DETERMINE A VALUE FOR A VARIABLE SIZE COMPONENT
    Publication number: 20210209510
    Abstract: A machine learning model for predicting a size fit satisfaction for a variable size component is trained using at least sizing profiles of a plurality of items and feedbacks of subjects regarding sizing of the plurality of items. The machine learning model is used to determine a value for the variable size component that corresponds to an optimal predicted size fit satisfaction. The determined value of the variable size component is provided for use in creating a new item with a sizing variation based on the determined value.
    Type: Application
    Filed: March 19, 2021
    Publication date: July 8, 2021
    Inventors: Zhou Yu, Ian Andrew Hepworth, Daragh Edgar Sibley
  • Using artificial intelligence to determine a value for a variable size component
    Patent number: 10984342
    Abstract: A machine learning model for predicting a size fit satisfaction for a variable size component is trained using at least sizing profiles of a plurality of items and feedbacks of subjects regarding sizing of the plurality of items. The machine learning model is used to determine a value for the variable size component that corresponds to an optimal predicted size fit satisfaction. The determined value of the variable size component is provided for use in creating a new item with a sizing variation based on the determined value.
    Type: Grant
    Filed: October 10, 2017
    Date of Patent: April 20, 2021
    Assignee: Stitch Fix, Inc.
    Inventors: Zhou Yu, Ian Andrew Hepworth, Daragh Edgar Sibley
  • USING ARTIFICIAL INTELLIGENCE TO DETERMINE A VALUE FOR A VARIABLE SIZE COMPONENT
    Publication number: 20190108458
    Abstract: A machine learning model for predicting a size fit satisfaction for a variable size component is trained using at least sizing profiles of a plurality of items and feedbacks of subjects regarding sizing of the plurality of items. The machine learning model is used to determine a value for the variable size component that corresponds to an optimal predicted size fit satisfaction. The determined value of the variable size component is provided for use in creating a new item with a sizing variation based on the determined value.
    Type: Application
    Filed: October 10, 2017
    Publication date: April 11, 2019
    Inventors: Zhou Yu, Ian Andrew Hepworth, Daragh Edgar Sibley