CARRY

Parivahan’s patent-pending Co-operative And Responsive Relay of inventory (CARRY) algorithm continuously optimizes the allocation of vehicle capacity to entity movement demand. Unlike classic optimization which yields inconsistent results across time cycles, CARRY uses deep learning to understand patterns that stretch across time, lending it the unique ability to handle multiple future unknowns such as demand, travel time and impactful external events. CARRY's forward looking analysis wades through choices to find the most acceptable options that minimize arrival delays as well as vehicle distance traveled. Further, CARRY seamlessly takes vehicles out of service when capacity is in excess, and accommodates vehicle breaks and operational change over. Lastly, CARRY serves as a valuable analysis tool for service and resource planning.