Blog

How Veho switched to a new optimization solver in under one month with DecisionOps

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.

Automatically expose native Gurobipy and scikit-learn parameters as options in Nextmv

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.

Build decision workflows to automate multiple steps in an optimization pipeline

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.

How to create and run an ML + OR decision workflow with scenario test on Nextmv

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.

Replay optimization model runs under different conditions with scenario testing

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.

MatchBack Systems: Eliminating historical drayage inefficiencies for imports and exports

Optimization plays a key role in MatchBack Systems successfully minimizing costs and improving equipment utilization for its customers — but it's the speed to deployment and model iteration that takes their solution to the next level.