Patents by Inventor Mark Heckman

Mark Heckman 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).

  • In-store computerized product promotion system with product prediction model that outputs a target product message based on products selected in a current shopping session
    Patent number: 12014397
    Abstract: A computerized product promotion system for use in a store is provided. The system comprises one or more processors configured to receive a plurality of captured images of a shopper in a current shopping session in the store and process the plurality of captured images to determine one or more products selected by the shopper during the current shopping session. The one or more processors are further configured to determine an identity of at least one target product, selected by a product prediction model, that is estimated to have a threshold minimum likelihood of being purchased by the shopper during a remainder of the current shopping session. The product prediction model receives as input the one or more products selected by the shopper during the current shopping session, and outputs the identity of the at least one target product.
    Type: Grant
    Filed: August 17, 2021
    Date of Patent: June 18, 2024
    Assignee: SHOPPER SCIENTIST LLC
    Inventors: Herb Sorensen, Mark Heckman
  • IN-STORE COMPUTERIZED PRODUCT PROMOTION SYSTEM WITH PRODUCT PREDICTION MODEL THAT OUTPUTS A TARGET PRODUCT MESSAGE BASED ON PRODUCTS SELECTED IN A CURRENT SHOPPING SESSION
    Publication number: 20230056742
    Abstract: A computerized product promotion system for use in a store is provided. The system comprises one or more processors configured to receive a plurality of captured images of a shopper in a current shopping session in the store and process the plurality of captured images to determine one or more products selected by the shopper during the current shopping session. The one or more processors are further configured to determine an identity of at least one target product, selected by a product prediction model, that is estimated to have a threshold minimum likelihood of being purchased by the shopper during a remainder of the current shopping session. The product prediction model receives as input the one or more products selected by the shopper during the current shopping session, and outputs the identity of the at least one target product.
    Type: Application
    Filed: August 17, 2021
    Publication date: February 23, 2023
    Inventors: Herb Sorensen, Mark Heckman