Perform large-scale forecasting – no coding required – with forecasting software that automatically generates large numbers of high-quality forecasts

SAS Forecast Server highlight

SAS Forecast Server

Choose an appropriate forecasting model. Optimize parameters. And produce huge volumes of high-quality forecasts. All automatically. With our forecasting software, there's no need for human intervention unless desired.



Key features

Easy-to-use GUI

Provides point-and-click access to powerful SAS forecasting capabilities, without having to know SAS programming.

Scalability & modeling

Facilitates ongoing and repeatable forecasting throughout the entire organization.

Automatic outlier detection

Examines the history of each item being forecast and automatically identifies outliers and shifts in the data. Subsequent forecasts can be adjusted appropriately.

Interactive time series exploration & analysis

Provides a graphical user interface for exploring and analyzing large volumes of time series data prior to forecasting.

Automatic forecasting

Automatically determines the forecasting models most suitable for the historical data. An appropriate model is generated for each item being forecast based on user-defined criteria, and model parameters are automatically optimized.

New project wizard

Guides users through data selection, assigning roles to variables in the data set, setting up a forecasting hierarchy and selecting important automatic forecasting criteria.

Hierarchical forecast reconciliation

Individually models and forecasts every series in the hierarchy (each lowest-level series and all higher levels of aggregation), then reconciles forecasts across the full hierarchy, per user’s choice of top-down, bottom-up or middle-out reconciliation.

User override facility

Enables forecasters to override the statistical forecast to incorporate judgment or outside information into the forecasting process.

Scenario analyzer

Lets planners test what-if scenarios, such as changes to pricing or promotions, and determine their likely effect on future demand.


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