Optimization plays a key role in MatchBack Systems successfully minimizing costs and improving equipment utilization for its customers — but it's the speed to deployment and model iteration that takes their solution to the next level.

Standardize and manage custom visuals as data assets in Nextmv alongside your model. Accelerate your workflows with interactive charts, plots, and maps that automatically render alongside run details for streamlined analysis and collaboration.

When an operational issue is reported, reproducing it is one of the first steps in an investigation. Finding and connecting the data you need to triage the issue can be intensive. With Nextmv, replaying history (with easy access to all the data) is just a click away.

Push your Python decision model from a local file to a remote application in minutes – whether you’re using a notebook or running in another Python environment. Conduct tests with fully featured experimentation tooling, collaborate and share results with teammates, and get observability into model performance.

Run multiple solvers or models in parallel to automatically select the best plan for your business with ensemble runs. Use your unique rules as selection criteria to easily converge on a plan, validate model configuration, and encourage stakeholder buy-in.

2024 was the year of the Python modeling experience, optimization integrations, and helping modelers find solutions even faster with parallel runs and interactive visualizations. In 2025, we look forward to combining ML & OR, more data integrations, and decision pipelines for smoother operations.

Increasingly, OR practitioners are seeking to incorporate more real-world uncertainty into decision models instead of only relying on deterministic optimization approaches. In this interview, we’ll explore this topic through the lens of Seeker, a new stochastic optimization solver.

Whether you’ve already built a decision model or are just getting started, developing your optimization project on the Nextmv platform will give you the framework, testing tools, and ease of integration required to prove the value of your decision model.

Looking to innovate in operations research? Or better translate academic research to industrial practice? Build or practice modeling skills set up for real-world impact? Check out this starter guide to hosting challenges on Nextmv.

Decision models are sophisticated algorithms that power revenue, sustainability, and efficiency goals through optimized planning. But integrating them into software stacks is not always straightforward.

Working in Python? Stay in Python! Develop and deploy your decision model directly from your Python environment. Updates to our SDK make it even easier to operationalize custom decision models safely and quickly.

Solve optimization problems with Hexaly? The Nextmv Hexaly integration provides a new way to efficiently run, test, and manage Hexaly decision models with Nextmv’s DecisionOps tools and infrastructure.