What if you could explore 100s or 1,000s of possible plans in seconds instead of 10s of plans in days or weeks? Optimization models make this possible all while keeping humans in the loop to ensure quality and build trust.
The ops-ification of disciplines such as software development, machine learning, and security aims to increase efficiency and reduce risk. For decision science and operations research — a discipline built on efficiency — it’s no different.
A look at how one startup is supporting sustainable and resilient city design by optimizing urban delivery logistics — starting with dispatch apps designed for eco-friendly operators.
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.