Videos

Preparing for production: Best practices for OR and decision science teams

How robust is your path to production? Can you own the end-to-end decision process? From handling input to removing hard-coded parameters, managing versions, and rollout testing, we’ll cover the top best practices for building, testing, and deploying decision models efficiently.

Decision model testing for routing, assignment, order fulfillment, and shift scheduling

Four decision algorithms, multiple experiments, one platform. Explore recently released batch testing capabilities for evaluating model changes to compare output metrics, KPIs, and prepare for acceptance and scenario tests.

Exploring sample decision apps with a free Nextmv account

Dive into sample routing and scheduling apps in the Nextmv console that are preloaded with runs and experiments. Interact with live dashboards and explore the full functionality of these decision apps.

Build decision models with confidence: Working with testing in optimization

Optimization model testing plays a key role in ensuring smooth yet improving business operations. But the testing universe is big and sometimes unwieldy. Learn how to get started with a unified decision model testing framework.

Several people are optimizing: Collaborative workflows for decision model operations

The next era of optimization isn't about building a better solver. It's about collaborative, opinionated tooling that empowers teams to move faster with less confusion and more access to the decision technology ecosystem.

Deploy a HiGHS MIP knapsack model with a custom endpoint

Access your HiGHS model remotely. Deploy your model as an app to Nextmv Cloud in minutes.