Decisions about the future are better when informed by the past and present. Forecasting is the process of making those informed predictions. Businesses forecast sales, demand, cash flow, and economic conditions. Methods range from simple moving averages and trend lines to complex statistical models and machine-learning algorithms.

No forecast is perfect. The value lies in reducing uncertainty and in making assumptions explicit so they can be tested and revised. Short-term forecasts are generally more accurate than long-term ones. Qualitative methods that incorporate expert judgment are useful when historical data are limited or when structural changes are expected.

Forecasts drive inventory levels, staffing, budgeting, and investment decisions. Organizations that treat forecasts as living tools rather than fixed commitments adapt more effectively when reality diverges. The discipline of forecasting therefore combines analytical technique with a healthy respect for the limits of prediction.