Route optimization for food, beverage, and less-than-truckload (LTL) delivery

From ordering curry on a busy weeknight to shipping weekend bakery orders, local farm share boxes, or craft kombucha cases, there are many factors that go into successful route optimization for food and beverage goods. These bundling operations often come with business-specific requirements such as hard time windows, temperature controls, commingling restrictions, and vehicle costs that make each decision model unique.

Nextmv provides a robust and customizable route optimization model that's easy to deploy with a few simple commands to create your unique route optimization endpoint. Follow along with Daniel as he creates and deploys a custom routing model applicable to food, beverage, and less-than-truckload delivery.


  • Optimization goals, considerations, and variations
  • Common constraints and how to add custom constraints
  • Considerations for how often to run the model

Get started on Nextmv for free and learn more in the documentation.

Have questions? Reach out to us to talk with our technical team.

Presented by
Senior Solutions Engineer