Select multiple runs from your model’s run history for a side-by-side comparison of their KPIs and model configuration. Answer performance questions in a few clicks and determine what to test next to continue improving your model.
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See the real-world impacts of a candidate model with a switchback test that randomly assigns units of production runs to each model. Start a switchback test, analyze the results, and promote a new model to production all in the Nextmv console.
Last year, we focused on accelerating deployment and testing for decision models. 2024 looks to focus on operating and monitoring models with more platform integrations and greater visibility and control across your development lifecycle.
Solving a workforce scheduling problem? Not sure where to start? We walk through the basics and cover what you need to know about optimizing and automating shift scheduling.
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.
