You provide the historic data and Forecast Pro does the rest. The built-in expert selection system analyzes your data, selects the appropriate forecasting technique, builds the model and calculates the forecasts--it even explains its reasoning in ordinary English!

For the more experienced forecaster, Forecast Pro provides complete custom modeling capabilities and the diagnostic tools to get the job done.

Forecast Pro will:
Improve forecast accuracy.
Save you time and money.
Improve planning.
Cuts inventory costs.
Decrease stockouts.
Increase customer satisfaction.

Forecast Pro includes:
Complete documentation including tutorial and statistical reference.
FREE technical support via phone, fax and e-mail.
30-day unconditional money-back guarantee

Forecast Pro is the clear market leader with over 15,000 companies in 84 countries using the package. A recent Institute of Business Forecasting survey placed Forecast Pro's market share at 32%, outselling its closest competitor by a margin of over 4 to 1.

Forecast Pro recently outperformed all other software approaches and 18 out of 19 academic teams in the Makridakis-3 study, the largest and most comprehensive empirical forecasting study ever performed.

An expert system that chooses among the following five classes of forecasting models to satisfy all mainstream business forecasting needs.

Simple Methods - For very short or extremely volatile data, Forecast Pro includes moving average models.

Curve Fitting - Provides a quick and easy way to identify the general form of the curve which your data are following. Forecast Pro supports four types of curves - straight line, quadratic, exponential and growth. (Standard and XE only)

Low Volume Models - Croston's Intermittent Demand model and discrete data models are provided to accommodate low volume and "sparse" data (i.e., data where the demand is often zero).

Exponential Smoothing - Twelve different Holt-Winters exponential smoothing models are provided to accommodate a wide range of data characteristics. The robustness of exponential smoothing makes it ideal when there are no leading indicators, and when the data are too short or volatile for Box-Jenkins. You can select the model and set the parameters yourself or let Forecast Pro do it automatically.