Optimization is often highlighted in supply chain contexts – routing, scheduling, inventory, and other tangible, visible problems. This post explores a few use cases in computing and software.
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When Veho’s data science team wanted to evolve their route optimization with a new solver, they leveraged Nextmv’s DecisionOps platform to transition to Hexaly in a matter of weeks.
Tune your Gurobipy and scikit-learn models with configurable options so your team can prototype faster, experiment with ease, and manage their models with more insight on Nextmv’s DecisionOps platform.
Looking for an MLflow experience for optimization? Create and manage end-to-end decision workflows in Nextmv with steps such as data prep, regression, optimization, and visualization. Press play to kick off an automated workflow and see live progress via a flow diagram and logs in the Nextmv UI.
What is the relationship between price, profit, and waste? Let’s find out using a Statsmodels ML regressor, a Gurobipy optimizer, Plotly charts, scenario testing, and a slick decision workflow built and run in Nextmv.
Identify better plans by replaying your run with varying settings. Create multiple scenarios to understand the impact of input data, model configuration, and more on your KPIs in Nextmv’s UI.
