What is exponential smoothing in time series forecasting?

Exponential smoothing forecasts by giving exponentially decreasing weights to older observations.

Exponential smoothing methods assign more importance to recent observations while gradually reducing influence of older data. Variants include simple, Holt’s linear, and Holt-Winters (which includes seasonality). It is computationally efficient and widely used in demand forecasting.