Which of the following parameters can directly influence the forecast accuracy in IBP?

Forecast accuracy in SAP Integrated Business Planning (IBP) is significantly impacted by historical sales data. This data serves as a foundation for making reliable predictions about future sales trends. IBP leverages historical sales patterns, seasonality, and trends to generate forecasting models that help organizations anticipate demand more accurately. By analyzing past performance, businesses can identify trends and adjust their forecasting to reflect expected future conditions better, thus enhancing overall forecast accuracy.

While statistical forecasting models may serve as tools to create forecasts, they rely heavily on the quality and relevance of historical sales data. Moreover, market trends and competitor pricing can influence the broader business environment but do not directly contribute to the inherent precision of sales forecasts based on past performance. Historical sales data is essential for anchoring forecasts in reality, leading to more informed decision-making in the planning process.