Do you model optimization problems with Python and Pyomo? The Nextmv Pyomo integration makes it easier than ever to run, test, and deploy Pyomo models using Nexmv’s DecisionOps platform.

When planning routes for vehicles, it’s reasonable to think you want to incorporate map or traffic data. But it’s not always needed and is often an investment if you decide to pursue it. We look at how to decide.

How do logistics and automation intertwine? What are common misconceptions about decision automation? How do efficiency and sustainability power the circular economy? We asked startup founders these questions and more.

Our first major version has landed – merging tools for building, testing, deploying, and managing decision models into one platform. Ship more models, rapidly iterate and improve, and make greater operational impacts with Nextmv.

We explore continuous improvement for a Google OR-Tools decision model using testing techniques at each stage of the development lifecycle and GitHub.

It’s time to understand the behavioral impacts of a new decision model under real-world conditions compared to a production model. Switchback testing enables this, helping build confidence in a new model’s rollout in a safe and measured way.

From configuring model options to performing experiments on subscribed apps, there’s a whole lot more you can do in the Nextmv console to accelerate the development of your decision algorithms.

A look at how one startup is supporting sustainable and resilient city design by optimizing urban delivery logistics — starting with dispatch apps designed for eco-friendly operators.

In a few clicks, you can spin up, configure, and run a Nextmv decision app that assigns workers to flexible or fixed shifts. Use a unique API endpoint to automate shift scheduling for delivery, healthcare, education, retail use cases, and more.

It’s been one year since we launched the new and improved Nextmv platform. That was just the start of an exciting dash to arrive at the product we have today. We’ve come a long way, and there's so much more to come.

We’re thrilled to announce our integration with OR-Tools – pairing production-ready infrastructure, version management, and testing capabilities with the modeling libraries and solvers you know and love.

Change can be scary or energizing. But when it comes to developing and deploying algorithms that make routing, scheduling, and fulfillment decisions, ready-made testing tools tilt the balance in favor of energizing by building confidence.