Forecast Pro creates accurate forecasts quickly and easily with proven statistical forecasting methods. Research indicates no single method works best for all data. Therefore Forecast Pro uses the complete range of forecasting approaches to address all types of statistical forecasting and sales forecasting needs. Forecast Pro's models accommodate seasonal demand, product hierarchies, product promotions, slow-moving items, causal variables, outliers for example and more besides.
Forecast Pro Expert Selection - Expert Selection takes the guesswork out of forecasting. The built-in expert system queries your data, selects the most relevant forecasting technique, builds the model producing the forecasts-And then explains it in English.
Forecast Pro Exponential Smoothing - Twelve different Holt-Winters exponential smoothing models are provided to accommodate a wide range of data characteristics. The robustness of exponential smoothing where no leading indicators exist, 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 for you automatically.
Forecast Pro Box-Jenkins - For stable data sets, Forecast Pro supports multiplicative seasonal Box-Jenkins modelling. Forecast models can be built completely automatically or interactively using a full range of screen-based diagnostics.
Forecast Pro Dynamic regression - Where there are important leading indicators, use Forecast Pro XE's dynamic regression. Include independent variables, lagged or transformed variables as well building generalized Cochrane-Orcutt models. Using Forecast Pro XE's self-interpreting diagnostics, you can build and compare alternative models with a few clicks. Easy as that.
Forecast Pro Event models - Event models offer exponential smoothing by providing adjustments for special events such as promotions, strikes or other irregular occurrences. Adjust for events of several different types such as promotions of varying sizes or types, or movable holidays like Easter and Rosh Hashanah.
Forecast Pro Multiple-level models - Multiple-level models enable you to allow to aggregate data into groups that can be reconciled using a top-down or bottom-up approach to produce consistent forecasts at all levels of aggregation. Seasonal and event indexes can be extracted from the higher-level aggregates and applied to lower-level data.