Exponential smoothing models iteratively forecast future values of a time series of values from weighted averages of past values of the series. The model computes the next level or smoothed value from a weighted average of the last actual value and the last level value. The method is exponential because the value of each level is influenced by every preceding actual value to an exponentially decreasing degree—more recent values are given greater weight.