Patents by Inventor Ashley WEHR

Ashley WEHR 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).

  • Contextually aware devices and machine learning-driven optimization systems
    Patent number: 12705633
    Abstract: Techniques for intelligent system optimization are provided. Capacity data of one or more exit devices at a physical location is received. Demand data that indicates a current demand for exit service at the physical location is received from one or more monitoring devices. A decision is generated based on the capacity data and the demand data using a machine learning (ML) model. Commands corresponding to the decision are transmitted to the one or more exit devices for implementation.
    Type: Grant
    Filed: January 3, 2024
    Date of Patent: August 11, 2026
    Assignee: TOSHIBA GLOBAL COMMERCE SOLUTIONS, INC.
    Inventors: Akshay Kumar Pandit, Manda Miller, Kristen M. Chung, Albert D. Bennah, Ashley Wehr
  • MOBILE DEVICE PREPARATION SYSTEM
    Publication number: 20260161420
    Abstract: The present disclosure describes a computer system that automatically prepares mobile devices. The computer system includes a memory and a processor. The processor determines, based on an image of a checkout area, at least one of a wait time or a number of people at the checkout area, loads, based on at least one of the wait time or the number of people exceeding a threshold, a first application on a mobile device, and instructs that the mobile device use the first application at the checkout area.
    Type: Application
    Filed: December 6, 2024
    Publication date: June 11, 2026
    Inventors: Manda MILLER, Ashley WEHR, Akshay Kumar PANDIT, Kristen M. CHUNG, Albert D. BENNAH
  • CONTEXTUALLY AWARE DEVICES AND MACHINE LEARNING-DRIVEN OPTIMIZATION SYSTEMS
    Publication number: 20250217827
    Abstract: Techniques for intelligent system optimization are provided. Capacity data of one or more exit devices at a physical location is received. Demand data that indicates a current demand for exit service at the physical location is received from one or more monitoring devices. A decision is generated based on the capacity data and the demand data using a machine learning (ML) model. Commands corresponding to the decision are transmitted to the one or more exit devices for implementation.
    Type: Application
    Filed: January 3, 2024
    Publication date: July 3, 2025
    Inventors: Akshay Kumar PANDIT, Manda MILLER, Kristen M. CHUNG, Albert D. BENNAH, Ashley WEHR