Systems and methods for dynamically generating optimal routes for vehicle operation management

A computer-implemented method for generating optimal routes for a vehicle to travel that maximizes potential revenue for operation of the vehicle, the method implemented by a vehicle routing and analytics (VRA) computing device including at least one processor, the method comprising:

• retrieving availability parameters and delivery preferences associated with the vehicle;
• retrieving, based in part on the vehicle definition, a plurality of known delivery tasks to be performed, each including a respective cargo to be delivered, pick-up time, delivery time, pick-up location, delivery location, and associated value;
• retrieving a plurality of historical routes travelled by a plurality of vehicles including the vehicle and a plurality of completed delivery tasks completed by the plurality of vehicles during the plurality of historical routes;
• using at least one of artificial intelligence and deep learning functionality:
• identifying one or more patterns in the plurality of historical routes and the plurality of completed delivery tasks;
• identifying a prospective new delivery task based upon the one or more patterns, the prospective new delivery task having a prospective pick-up location and a predicted pick-up time unrelated to any of the known delivery tasks;
• and
• generating an optimal route for the vehicle that includes (i) a scheduled list of a subset of the known delivery tasks for the vehicle to perform, and (ii) instructions for the vehicle to travel to the prospective pick-up location at the predicted pick-up time based upon a likelihood of the prospective new delivery task being associated with that prospective pick-up location at the predicted pick-up time;
• and
• transmitting the optimal route to the vehicle for operation of the vehicle according to the optimal route.