Exponential smoothing is particular type of moving average technique applied to time series data, used to produce smoothed data for presentation, or to make forecasts. The Exponential smoothing method weights past observations by exponentially decreasing weights to forecast future values.

There are some categories of this method:

1. Single exponential smoothing
2. Browns Double exponential smoothing method
3. Holts Double exponential smoothing method
4. Winters Triple exponential smoothing method