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Methods and systems for smart resource allocation based on work location predictions

  • US 10,367,911 B1
  • Filed: 09/07/2017
  • Issued: 07/30/2019
  • Est. Priority Date: 09/21/2016
  • Status: Active Grant
First Claim
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1. A computerized method comprising:

  • creating, by a processor associated with an enterprise scheduling system, a user profile associated with a user, the user profile including information relating to one or more devices associated with the user and at least one work location, wherein the work location is a physical location where the user performs work associated with an organization;

    receiving, from the one or more devices associated with the user, data sufficient to determine a location of the one or more devices;

    analyzing, by the processor, the data to determine a predicted work location of the user, wherein analyzing the data comprises;

    determining the location of the one or more devices, andcomparing the location of the one or more devices with previously documented work locations;

    optimizing, by the processor associated with an enterprise scheduling system, resources based on the predicted work location of the user and predicted work locations of other users,wherein optimizing the resources includes adjusting at least one of staffing or parking; and

    in response to determining that one or more of the resources are insufficient, sending a recommendation to the user to work at an alternative work location.

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