Patent ID: 11894985
Assignee: STARBUCKS CORPORATION
Field: Digital communication (Electrical engineering)
Classification: CPC H | IPC H

Claim 7:
8. A method comprising:
executing, by one or more processors, an iterative optimization routine configured to evaluate a group of candidate physical locations to determine one or more optimal locations at which to deploy one or more objects in a target geographical region, wherein each iteration in the iterative optimization routine involves:
selecting a candidate physical location from the group of candidate physical locations;
executing a trained demand model configured to output 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;
executing one or more trained overhead models configured to output a plurality of predicted overhead values for the candidate physical location;
determining a predicted cannibalization factor associated with 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;

determining, by the one or more processors, the one or more optimal locations based on the overall score associated with each candidate physical location; and
generating, by the one or more processors, a graphical user interface that includes a visual map having graphical elements identifying the one or more optimal locations.