If you have less historical information, such as when attempting to forecast sales for a recently launched product, you can turn to a logistics model, which needs fewer data points, Keating says.

Specify the Input Data Set Suppose you have a number of time series, variables recorded over time, for which you want to forecast future values. The past values of these time series are stored as ...