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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It’s been one year since we launched the new and improved Nextmv platform. That was just the start of an exciting dash to arrive at the product we have today. We’ve come a long way, and there's so much more to come.
We’re thrilled to announce our integration with OR-Tools – pairing production-ready infrastructure, version management, and testing capabilities with the modeling libraries and solvers you know and love.
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.
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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.
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.
