Find the optimal mix of competing products using predictive and prescriptive analytics in a Gurobi notebook. Go from prototype to production using Nextmv to run your models remotely, create optimization pipelines, perform scenario tests, and render custom visualizations.
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Learn how to leverage DecisionOps to get your OR-Tools model into production faster. Then create decision workflows to automate steps in optimization pipelines, render custom visualizations, and more.
Using a Hexaly model, see how to use Nextmv ensemble definitions to automatically select the best plan from many solutions based on your specified criteria.
Deploy and run a Statsmodels ML regressor, Gurobipy price avocado optimizer, and end-to-end decision workflow on Nextmv via a Jupyter Notebook on Google Colab. Plus, visualize results using Plotly and perform a scenario test to determine relationship between price and profit.
Get an early look at a feature that would allow business users, analysts, or modelers to change output data, recompute statistics, and compare to another model run.
Feedback on any project is inevitable. With optimization projects and decision models, we're developing more efficient commenting and feedback loops that sit alongside modeling work.
