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.
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Efficiently scale your delivery volume and service areas without adding stress to your operators or drivers. We’ll show you how to use Nextmv to automate and optimize routing: start with a pre-built decision model, customize your model to fit your needs, and deploy it to production.
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.
See how to build, run, and deploy a custom decision model to production in a few minutes.
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.
Learn how to use custom distance or travel time matrices for routing with Nextmv.
