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.
