Every time you run your app, Nextmv captures metadata that provides insight into how the app is performing. Use a simple script to pull that run data into Google Sheets to analyze and visualize KPIs over time.
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.
Learn how to integrate a new or existing OR-Tools model into production systems using Nextmv and its infrastructure, testing capabilities, and collaboration features to create a repeatable workflow to production.
How do you feel about the decision model updates you ship to production? Acceptance and shadow testing are two ways to gain confidence across model performance for business KPIs and stability indicators. We’ll show you how.
Planning efficient routes for your vehicle fleet helps you save on operational costs. Learn how to automate the creation of optimized routes that take business rules into account like capacity, precedence, time windows, and more.
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.