
Traditional S&OP is periodic, consensus-based, and backward-looking. It aligns functions around a shared plan on a monthly cadence, using historical data and single-point forecasts. Digital S&OP is continuous, event-driven, and forward-looking. It uses AI to update forecasts and simulations in real time, quantify the financial impact of decisions before they are made, and surface recommendations automatically when conditions shift. The governance structure is the same. The decision speed and accuracy are fundamentally different.