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.
Decision optimization technology plays a critical role in everyday operations — food delivery, healthcare staffing, and subscription box assembly — but it can often stand in its own way. It doesn’t have to.
Are AI, ML, and OR the same or different? Is operations research a solved problem? How do you know if you’re ready for optimization? We asked industry veteran Karla Hoffman these questions and more.
Catch up on the latest from Nextmv, including a CLI-guided workflow, our customizable SDK, a new MIP solving interface, and models for PagerDuty scheduling and more.
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As part of meeting their goal of being carbon negative by the end of 2023, GoBolt sought out a customizable solution for automating their vehicle routing operations in order to efficiently scale the efforts of their existing teams.
From software development to operations research to the classroom, Professor Thiago Serra has experienced the world of optimization through many lenses. We chatted with him to learn more.
There are many ways to think about calculating distance and duration between points or indices. From Euclidean to Haversine to OSRM, RoutingKit, Google Maps, and beyond, we have a look.
So, you have a vehicle routing problem. What flavor is it? Delivery, ride sharing, sourcing, distribution? Here’s how to get started with configuring it in Nextmv Cloud.
After initially working with a manual vehicle routing workflow, Oico implemented Nextmv Cloud in one week to start automating and optimizing routing decisions for their vehicle fleet.
Find more improving solutions to route optimization problems at scale faster with ALNS, the latest solver available in the Nextmv Decision Stack.
