No longer just a strategic forecasting tool, machine learning now powers intelligent, real-time decisions that optimize inventory, labor, and warehouse orchestration.
Distribution is faster, leaner—and more fragile than ever before. A single delay can ripple across many touchpoints in a supply chain network. So how do you make the right move, every time, at scale? That’s where machine learning steps in.
In today’s volatile and fast-moving supply chain environment, quickly adapting to disruptions and shifting demand patterns is essential. Machine learning (ML) is taking operational execution to a new level. No longer just a strategic forecasting tool, ML now powers intelligent, real-time decisions that optimize inventory, labor, and warehouse orchestration. READ FULL ARTICLE
