Which process allows you to manage planned requirements in SAP S/4HANA based on historical data?

The process that effectively manages planned requirements in SAP S/4HANA based on historical data is forecast-based planning. This method utilizes past sales data and patterns to predict future customer demand, thereby enabling a more accurate assessment of what inventory will be required in the future. By analyzing historical consumption trends, businesses can create informed forecasts about required stock levels, which helps ensure that supply aligns with anticipated demand.

This approach is crucial for organizations aiming to optimize inventory levels, reduce excess stock, and minimize stockouts, as it leverages historical data to enhance the forecasting accuracy. In SAP S/4HANA, forecast-based planning allows users to maintain a strategic advantage by adapting to changing market conditions and customer preferences effectively.

While demand forecasting also relies on historical data to estimate future needs, it is often considered a broader category that encompasses various techniques and methodologies. Forecast-based planning, specifically, focuses on developing projections based on these historical patterns, solidifying its role as the most suitable choice for managing planned requirements. The other options do not emphasize the direct management of planned requirements through historical data in the same way.