It’s time to understand the behavioral impacts of a new decision model under real-world conditions compared to a production model. Switchback testing enables this, helping build confidence in a new model’s rollout in a safe and measured way.
You’re pretty sure your staging model is ready for production. Pretty sure... But you want to test it under real-world conditions without real-world impact. Shadow testing gives your “understudy” algorithm the stage to prove its mettle.
Welcome to the what-if wonderland of parallel universes. What if you expand your delivery region? Or fulfill orders from stores and distribution centers? Or hire more staff? Scenario tests help provide the answers. And, no, it’s not the same as simulation.
You’ve got a production decision model and an updated decision model. Should you ship the new model to prod? Will the new model meet your acceptable KPI thresholds? Acceptance testing provides the answers by delivering a documented, repeatable decision-making process.
How do you feel about the decision model updates you ship to production? Acceptance and shadow testing are two ways to gain confidence across model performance for business KPIs and stability indicators. We’ll show you how.
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.
Which solver or algorithm performs better for your use case? How does your model perform under stress? See a preview of how the Nextmv platform can streamline benchmarking instances, testing scenarios, and more.