NVIDIA cuOpt

A service provider is dispatched to fulfill a list of different service requests. These are allocated a certain amount of time per service request and the time can vary according to request. For example, a telecommunications technician is assigned to a customer’s home to install a router and then to a different home to install a data cable. cuOpt enables technicians to be equipped with all required tools before departure and complete the tasks based on optimized routes.

For the inbound and outbound transportation of goods and vehicles with long-haul fleets, it’s critical to optimize scheduling and route planning. cuOpt allows users to factor in the number of available pilots, drivers, or ships to recommend the most optimized route and schedule.

Efficient picking and packing play a large role in warehouse operations and meeting customer expectations. With cuOpt, companies can create better human-machine interactions for automated storage and retrieval, dynamically routing and rerouting robots for efficient truck loading as new orders arrive and old orders are returned.

The retail, energy, and manufacturing industries can benefit from cuOpt for long-haul transportation management, pick-up path optimization within a warehouse from receiving dock to shipping dock, return optimization, and auto-fulfillment optimization.

A vehicle fulfills orders by picking them up and dropping them off at a different location. For example, a food delivery driver picks up a food order from a restaurant and delivers it to the customer’s home address. cuOpt allows users to tune and set their own solver time, independent of the number of tasks or locations. It optimizes routes with acceptable solution quality in seconds.