Forecasting models

Forecasting models are analytical frameworks: they use historical data (time series, cross-sectional) and expert judgment to predict future outcomes like demand, sales, or economic trends, enabling proactive decision-making.

Forecasting models provide the essential predictive intelligence for strategic operations. These tools process past and present data to project future values, directly mitigating risk and optimizing resource allocation (e.g., inventory, budget). Quantitative models like ARIMA or Exponential Smoothing analyze time series data for patterns and seasonality. Conversely, qualitative methods, such as the Delphi technique, leverage expert consensus when historical data is scarce (e.g., for new product launches). Effective implementation allows organizations to shift from reactive planning to a confident, data-driven approach, ensuring capital is deployed efficiently and operational goals are met with greater accuracy.

https://en.wikipedia.org/wiki/Forecasting