What are predictive analytics in supply chain management?

Predictive analytics in Supply Chain management uses historical data, real-time signals, and advanced models to anticipate future demand, risks, and disruptions. It focuses on probabilities rather than single-point forecasts. The probabilistic framing matters because Supply Chain decisions, safety stock, replenishment, capacity, are inherently decisions under uncertainty. A single-point forecast gives an answer but hides the risk around it, while a probabilistic forecast exposes the full distribution and lets planners size buffers to the actual variability per SKU period. The result is better service level at lower inventory cost, with decisions that adapt continuously as new data arrives rather than only at fixed planning cycles.