Patents by Inventor Brendan S. Doner

Brendan S. Doner 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).

  • Publication number: 20240152944
    Abstract: A method for price optimization for a product or service at a store using machine learning is disclosed. The method includes determining a price through a reaction model, positioning model, and a forecast model. The reaction model includes determining the probabilities of a competitors' pricing reaction due to the store's price changes. The positioning model includes determining conditional probabilities for attaining an objective and/or sub-objective based on store and competitor's data. The conditional probabilities are used for generating a price proposal for achieving the objective and/or sub-objective. The forecast model provides a forecast for factors such as volume sale using machine learning.
    Type: Application
    Filed: January 15, 2024
    Publication date: May 9, 2024
    Inventor: Brendan S. DONER
  • Patent number: 11875371
    Abstract: A method for price optimization for a product or service at a store using machine learning is disclosed. The method includes determining a price through a reaction model, positioning model, and a forecast model. The reaction model includes determining the probabilities of a competitors' pricing reaction due to the store's price changes. The positioning model includes determining conditional probabilities for attaining an objective and/or sub-objective based on store and competitor's data. The conditional probabilities are used for generating a price proposal for achieving the objective and/or sub-objective. The forecast model provides a forecast for factors such as volume sale using machine learning.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: January 16, 2024
    Inventor: Brendan S. Doner
  • Patent number: 10984433
    Abstract: A method for price optimization for a product or service at a store using machine learning is disclosed. The method includes determining a price through a reaction model, positioning model, and a forecast model. The reaction model includes determining the probabilities of a competitors' pricing reaction due to the store's price changes. The positioning model includes determining conditional probabilities for attaining an objective and/or sub-objective based on store and competitor's data. The conditional probabilities are used for generating a price proposal for achieving the objective and/or sub-objective. The forecast model provides a forecast for factors such as volume sale using machine learning.
    Type: Grant
    Filed: April 24, 2018
    Date of Patent: April 20, 2021
    Assignee: Skyline Products, Inc.
    Inventor: Brendan S. Doner