
A traditional engine takes a single forecast number and computes plans on the assumption it is accurate. Probabilistic forecasting treats demand as a distribution and sizes decisions for the uncertainty interval. When demand is volatile, the gap shows up in stockouts avoided and inventory not parked in a warehouse waiting for a sale.