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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Go from a local decision model to a remotely hosted decision application (with API endpoints) that you can easily share, test, and confidently promote to production. See the model-to-app workflow using a Jupyter Notebook and Nextmv in under 30 minutes.
Learn how to leverage data and AI for better operational decisions.
Deploy, run, and test your HiGHS model from a notebook without translating to different formats like .mps or .lp files.
Deploy, run, and test a VRP model from a notebook without translating to different formats like .mps or .lp files.
Deploy, run, and test your Gurobi model from a notebook without translating to different formats like .mps or .lp files.