Patents by Inventor Jay A. Chauhan

Jay A. Chauhan 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).

  • Optimizing locations of physical objects in a network
    Patent number: 11985041
    Abstract: In some examples, a system can execute an iterative optimization routine on a set of candidate physical locations for an object. Each iteration can involve a series of operations. The operations can include selecting one of the candidate physical locations; determining a predicted demand value for the candidate physical location based on a first traffic score and a second traffic score associated with the candidate physical location; and determining a predicted overhead value for the candidate physical location. The operations can also include determining a predicted cannibalization factor for the candidate physical location; and generating an overall score for the candidate physical location based on the predicted demand value, the plurality of predicted overhead values, and the predicted cannibalization factor. The system may then identify one or more of the candidate physical locations as optimal locations based on their overall scores and display the optimal locations on a geographical map.
    Type: Grant
    Filed: December 21, 2023
    Date of Patent: May 14, 2024
    Assignee: Starbucks Corporation
    Inventors: Nitish Shivrayan, Brendan D. O'Shaughnessy, David A. M. West, Jay A. Chauhan, Fu Ern Kwan
  • Optimizing locations of physical objects in a network
    Patent number: 11894985
    Abstract: In some examples, a system can execute an iterative optimization routine on a set of candidate physical locations for an object. Each iteration can involve a series of operations. The operations can include selecting one of the candidate physical locations; determining a predicted demand value for the candidate physical location based on a first traffic score and a second traffic score associated with the candidate physical location; and determining a predicted overhead value for the candidate physical location. The operations can also include determining a predicted cannibalization factor for the candidate physical location; and generating an overall score for the candidate physical location based on the predicted demand value, the plurality of predicted overhead values, and the predicted cannibalization factor. The system may then identify one or more of the candidate physical locations as optimal locations based on their overall scores and display the optimal locations on a geographical map.
    Type: Grant
    Filed: December 20, 2022
    Date of Patent: February 6, 2024
    Assignee: Starbucks Corporation
    Inventors: Nitish Shivrayan, Brendan D. O'Shaughnessy, David A. M. West, Jay A. Chauhan, Fu Ern Kwan