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Getting optimization solutions into the hands of stakeholders faster at Grubhub

How Grubhub’s data science team uses Nextmv to accelerate model development, ship models as microservices, and build trust with business users.

To change my decision model, or not? That’s not a question. It’s a test.

Change can be scary or energizing. But when it comes to developing and deploying algorithms that make routing, scheduling, and fulfillment decisions, ready-made testing tools tilt the balance in favor of energizing by building confidence.

Accelerate decision model development with a collaboration platform

Work together on your decision apps and iterate faster with increased visibility across your entire team – from model management to experimentation. It’s as simple as inviting users to join your team in the Nextmv console.

Release: Shadow testing for decision models in Nextmv

Shadow testing isn’t just for the MLOps crowd. Decision algorithm teams can have it too for their optimization models solving routing, scheduling, allocation, and fulfillment problems across supply chain, retail, healthcare, and more.

How to pull Nextmv run data into Google Sheets

Every time you run your app, Nextmv captures metadata that provides insight into how the app is performing. Use a simple script to pull that run data into Google Sheets to analyze and visualize KPIs over time.

What is shadow testing for optimization models and decision algorithms?

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.