Systems and methods for using predicted demand to optimize task scheduling

A system for scheduling tasks to field professionals, the system comprising:

• a memory configured to store historical data associated with past demand for field professionals in a geographical area;
• a network interface;
• and
• at least one processor connectable to the network interface, the at least one processor is configured to access the memory and to:
• receive a set of requests for on-site service, the set of requests are associated with a number of task types and each request is associated with a different location;
• use the historical data to identify service zones in the geographical area associated with predicted demand for specific task types;
• determine, based on the requests, a set of daily schedules of tasks for a set of field professionals, and, for a certain daily schedule with a task associated with a location in proximity to an identified service zone, reserve capacity to account for predicted demand;
• and
• provide, using the network interface, directional instructions to a field professional assigned to the certain daily schedule to a location in proximity to a service zone.

A non-transitory computer-readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform a method for scheduling tasks to field professionals, the method comprising:

• receiving a set of requests reflecting a current demand for on-site services;
• predicting imminent demand for on-site services based on the historical data;
• generating a schedule for a set of field professionals based on the current demand for on-site services;
• and
• reserving in the schedule availability based on the predicted demand for on-site services.