Forecasting That Holds Up Under Uncertainty

A point forecast is a comforting fiction. Real decisions require a sense of the range of outcomes and their likelihood.

Principles that travel

1. Forecast distributions, not points. Decisions hinge on uncertainty, not just the expected value.
2. Respect hierarchy. Reconcile forecasts across product, region, and time so plans are coherent.
3. Backtest honestly. Evaluate on the horizon and metric that the decision actually cares about.

From forecast to decision

A forecast is only useful if it changes an action. Tying probabilistic forecasts directly into inventory and transportation optimization is what converts statistical accuracy into operational value — and ultimately into resilience.