Methods and systems for smart resource allocation based on work location predictions
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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Abstract
Embodiments disclosed herein describe a method and system that create a user profile associated with a user. The user profile can include locations in which the user has worked and information relating to one or more devices associated with the user. The system can receive data from the devices and analyze the data to predict a work location of the user. Resources can be optimized based on the predicted work location of the user and the predicted work locations of other users.
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Citations
20 Claims
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1. A computerized method comprising:
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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, and comparing 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A non-transitory, computer-readable storage medium comprising a set of instructions that, when executed by one or more processors, cause a machine to:
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create 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; receive, from the one or more devices associated with the user, data sufficient to determine a location of the one or more devices; analyze 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, and comparing the location of the one or more devices with previously documented work locations; optimize 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, send a recommendation to the user to work at an alternative work location. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. An enterprise scheduling platform, comprising:
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one or more processors; and a computer readable storage medium having instructions stored thereon, which when executed by the one or more processors cause the enterprise scheduling platform to; create 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; receive, from the one or more devices associated with the user, data sufficient to determine a location of the one or more devices; analyze 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, and comparing the location of the one or more devices with previously documented work locations; optimize 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, send a recommendation to the user to work at an alternative work location.
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Specification