Time series forecasting using open source R

Automatic forecasting relies on computers to fit models to time series to pick the best one based on statistical tests.

Forecasting with automated processes are useful in situations where there are more time series than analysts can handle, such as supply chain management.

Free statistical software
The open sourced software program R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files.

Time series forecasting
There is a free library for Time Series Forecasting for R. It holds functions to fit and predict linear regfression, Holt-Winters, Arima, exponential smoothing state space, Structural Time Series (StructTS) models. Also intermittent demand is supported using the Croston method.

Source: Andy Fisher