The ESM Procedure

The ESM procedure generates forecasts by using exponential smoothing models with optimized smoothing weights for many time series or transactional data. The procedure can forecast both time series data, whose observations are equally spaced by a specific time interval (for example, monthly or weekly), or transactional data, whose observations are not spaced with respect to any particular time interval. Internet, inventory, sales, and similar data are typical examples of transactional data. For transactional data, the data are accumulated based on a specified time interval to form a time series prior to modeling and forecasting.

The following are highlights of the ESM procedure's capabilities:


For further details, see the SAS/ETS® User's Guide