Patents by Inventor Marc-Henri Gires

Marc-Henri Gires 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).

  • Classification and transformation of sequential event data
    Patent number: 11907866
    Abstract: A method and system are provided that apply a combination of machine learning and graph techniques to classify and transform sequential event data. In some embodiments, the method and system are applied to generate raw data in the shipping industry to automatically classify a sequence of status codes extracted from EDI data files corresponding to a series of physical events experienced by a shipping container into a sequence of meaningful milestones to provide improved visibility regarding the actual status of the shipping container. The method and system can be applied to classify and transform sequential event data for use in the shipping industry and in other applications.
    Type: Grant
    Filed: September 29, 2022
    Date of Patent: February 20, 2024
    Assignee: P44, LLC
    Inventors: William Enerson Harvey, Thomas Janos Atwood, Marc-Henri Gires
  • CLASSIFICATION AND TRANSFORMATION OF SEQUENTIAL EVENT DATA
    Publication number: 20230031564
    Abstract: A method and system are provided that apply a combination of machine learning and graph techniques to classify and transform sequential event data. In some embodiments, the method and system are applied to generate raw data in the shipping industry to automatically classify a sequence of status codes extracted from EDI data files corresponding to a series of physical events experienced by a shipping container into a sequence of meaningful milestones to provide improved visibility regarding the actual status of the shipping container. The method and system can be applied to classify and transform sequential event data for use in the shipping industry and in other applications.
    Type: Application
    Filed: September 29, 2022
    Publication date: February 2, 2023
    Inventors: William Enerson Harvey, Thomas Janos Atwood, Marc-Henri Gires
  • Classification and transformation of sequential event data
    Patent number: 11488044
    Abstract: A method and system are provided that apply a combination of machine learning and graph techniques to classify and transform sequential event data. In some embodiments, the method and system are applied to generate raw data in the shipping industry to automatically classify a sequence of status codes extracted from EDI data files corresponding to a series of physical events experienced by a shipping container into a sequence of meaningful milestones to provide improved visibility regarding the actual status of the shipping container. The method and system can be applied to classify and transform sequential event data for use in the shipping industry and in other applications.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: November 1, 2022
    Assignee: P44, LLC
    Inventors: William Enerson Harvey, Thomas Janos Atwood, Marc-Henri Gires
  • CLASSIFICATION AND TRANSFORMATION OF SEQUENTIAL EVENT DATA
    Publication number: 20190332962
    Abstract: A method and system are provided that apply a combination of machine learning and graph techniques to classify and transform sequential event data. In some embodiments, the method and system are applied to generate raw data in the shipping industry to automatically classify a sequence of status codes extracted from EDI data files corresponding to a series of physical events experienced by a shipping container into a sequence of meaningful milestones to provide improved visibility regarding the actual status of the shipping container. The method and system can be applied to classify and transform sequential event data for use in the shipping industry and in other applications.
    Type: Application
    Filed: April 27, 2018
    Publication date: October 31, 2019
    Inventors: William Enerson Harvey, Thomas Janos Atwood, Marc-Henri Gires