You’re pretty sure your staging model is ready for production. Pretty sure... But you want to test it under real-world conditions without real-world impact. Shadow testing gives your “understudy” algorithm the stage to prove its mettle.
Welcome to the what-if wonderland of parallel universes. What if you expand your delivery region? Or fulfill orders from stores and distribution centers? Or hire more staff? Scenario tests help provide the answers. And, no, it’s not the same as simulation.
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You need to change your decision model, but you’re not sure how it’ll impact your KPIs. Will there be unexpected effects? Batch experiments allow for exploration through summary statistics to orient yourself to impacted metrics.
You’ve got a production decision model and an updated decision model. Should you ship the new model to prod? Will the new model meet your acceptable KPI thresholds? Acceptance testing provides the answers by delivering a documented, repeatable decision-making process.
Create a release process for your custom model that mirrors your experience for shipping any other software. Develop locally, deploy to operational environments, test performance, use version control for easy rollbacks, and iterate with confidence.
Dive into sample routing and scheduling apps in the Nextmv console that are preloaded with runs and experiments. Interact with live dashboards and explore the full functionality of these decision apps.
In the beginning there was linear programming. It spawned decades of similarly-shaped solver offshoots. Decision diagrams break with this classic paradigm and offer new opportunities to solve common optimization problems.
With Nextmv, getting a decision model into production is just like deploying any other software. Build custom models and create a unique endpoint for your model that can easily integrate into your other services.
Which solver or algorithm performs better for your use case? How does your model perform under stress? See a preview of how the Nextmv platform can streamline benchmarking instances, testing scenarios, and more.
Nextmv is removing the roadblocks for going from optimization problem definition to production environment. This makes optimization easier for operations researchers and more accessible to developers. See what this looks like and watch a demo.
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What does it mean to go from manual to automated decision-making? Why make the switch? We explore this topic and show you how.
From vehicle routing problems (VRPs) to scheduling staff and workers, there is a multitude of decisions ripe for automation. In this talk, Carolyn Mooney, CEO of Nextmv, talks about her vision for shifting from traditional decision workflows to decision automation where any developer can work with decisions as code.
Solve routing problems like delivery, distribution, and sourcing with Nextmv Cloud. See your optimized routes on the map in the console or use the API to connect to your data source and frontend UI. Scaling is fast and easy with Nextmv.
Solve your sourcing and dispatch problems with Nextmv Cloud. See your optimized routes on the map in the console or use the API to connect to your data source and frontend UI. Scaling is fast and easy with Nextmv.
Solve your distribution and dispatch problems with Nextmv Cloud. See your optimized routes on the map in the console or use the API to connect to your data source and frontend UI. Scaling is fast and easy with Nextmv.
Solve your delivery and dispatch problems with Nextmv Cloud. See your optimized routes on the map in the console or use the API to connect to your data source and frontend UI. Scaling is fast and easy with Nextmv.
