Patents by Inventor Nathan Chappell

Nathan Chappell 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).

  • Gratitude prediction machine learning models
    Patent number: 11640445
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining gratitude scores for a plurality of people who have interacted with an organization. In one aspect, a method comprises: obtaining, for each of a plurality of people who have interacted with an organization, history data characterizing previous interactions of the person with the organization and third party data characterizing aspects of the person outside of their previous interactions with the organization; and processing, for each of the plurality of people, the history data and the third party data for the person using a gratitude prediction machine learning model to generate a gratitude score for the person, wherein the gratitude score for the person characterizes a likelihood that the person will take a specified action on behalf of the organization in the future.
    Type: Grant
    Filed: June 7, 2022
    Date of Patent: May 2, 2023
    Assignee: The Gobel Group, LLC
    Inventors: Chad Gobel, Nathan Chappell
  • GRATITUDE PREDICTION MACHINE LEARNING MODELS
    Publication number: 20220366463
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining gratitude scores for a plurality of people who have interacted with an organization. In one aspect, a method comprises: obtaining, for each of a plurality of people who have interacted with an organization, history data characterizing previous interactions of the person with the organization and third party data characterizing aspects of the person outside of their previous interactions with the organization; and processing, for each of the plurality of people, the history data and the third party data for the person using a gratitude prediction machine learning model to generate a gratitude score for the person, wherein the gratitude score for the person characterizes a likelihood that the person will take a specified action on behalf of the organization in the future.
    Type: Application
    Filed: June 7, 2022
    Publication date: November 17, 2022
    Inventors: Chad Gobel, Nathan Chappell
  • Gratitude prediction machine learning models
    Patent number: 11386469
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining gratitude scores for a plurality of people who have interacted with an organization. In one aspect, a method comprises: obtaining, for each of a plurality of people who have interacted with an organization, history data characterizing previous interactions of the person with the organization and third party data characterizing aspects of the person outside of their previous interactions with the organization; and processing, for each of the plurality of people, the history data and the third party data for the person using a gratitude prediction machine learning model to generate a gratitude score for the person, wherein the gratitude score for the person characterizes a likelihood that the person will take a specified action on behalf of the organization in the future.
    Type: Grant
    Filed: March 19, 2020
    Date of Patent: July 12, 2022
    Assignee: The Gobel Group, LLC
    Inventors: Chad Gobel, Nathan Chappell