In the on-demand logistics space, ML and OR are colliding more frequently with practitioners generating demand forecasts that feed into shift scheduling models that feed into vehicle routing models. How can we benefit from their combined value more often?

Learn how to use vehicle activation penalties to encourage vehicle efficiency. This is sometimes known as prioritizing backhaul when going back to a depot.

Learn how to configure your vehicle routing problem (VRP) to have multiple pickups precede a dropoff. In this example, learn how to set two pickups at two different locations precede a dropoff stop for a pickup and delivery problem.

Learn how to model continuous moves for a vehicle going back and forth from a depot.

Analyzing solutions and updating models can be tricky when you’re using new or multiple modeling tools and solvers. In this techtalk, we’ll demo Nextplot with two sample VRP apps to visualize model input, output, and more.