Our team worked with a large logistics company that wanted to optimize its shipping strategy. They were faced with choosing between a fast, but expensive option, and a slow and cheap option across the network.
The problem was too complex to tackle computationally. We needed to reduce the problem statement to a solvable size without introducing error or sacrificing insights.
We developed a network strategy using operations management algorithms to identify time efficient and cost effective paths that would not compromise service quality.
Our operational plans provided ~20% operating expense savings over the legacy strategy.