We built a docs site that references code samples from external files to avoid copy-paste errors, makes it easier to manage code updates over time, and allows for separate testing processes to be run to validate referenced code. Here’s how.
This post explains what order fulfillment is, considerations for model constraints and objective functions, and walks you through building a custom optimization model, step by step.
I retired our on-call scheduling spreadsheet — and you can too. Here’s how I built a custom decision model that generates and sends optimized schedules to the PagerDuty API.
Looking to solve a vehicle routing problem? Need to implement a custom constraint or value function? Learn how to create a custom routing model to represent your business logic.
Learn how to leverage flexible backlogs to insert new stops into previously optimized routes with an example that uses a most mouthwatering delivery payload: the humble hamburger.
With Nextmv, you can customize an optimization model for your use case without wading into linear inequalities. From creating your own value function to adding custom constraints, learn best practices for representing business logic as code.
From tight delivery windows to refrigeration controls, route optimization models for food, beverage, and LTL delivery often require customization and rapid deployment to keep pace with business operations. Learn how to use Nextmv for this use case.
Efficiently scale your delivery volume and service areas without adding stress to your operators or drivers. We’ll show you how to use Nextmv to automate and optimize routing: start with a pre-built decision model, customize your model to fit your needs, and deploy it to production.
See how to build, run, and deploy a custom decision model to production in a few minutes.
Learn how to use custom distance or travel time matrices for routing with Nextmv.
Learn how to build a custom model using our routing template to minimize costs while accounting for workers who are paid either by the hour or by task.
Build and run complete decision optimization models in minutes for vehicle routing, scheduling, packing, and Sudoku. With a few commands, you're ready to solve.
Whether you operate in multiple market locations or want to expand into new ones, simple scenario testing can help you make decisions about vehicle fleet size, composition, and capabilities.
