Forecast Pro Capabilities
AI-Driven Automatic Forecasting
Forecast Pro’s intelligent “best pick” algorithm quickly generates highly accurate forecasts, even for large datasets, by recognizing seasonal patterns, trends, business cycles, promotions, and more. Users can also choose custom forecasting models through an intuitive menu and leverage comprehensive diagnostic tools.
Flexible Hierarchies & Multiple Units of Measure
Forecast at any level of detail while seamlessly aggregating and reporting data. Forecast Pro allows users to pivot hierarchies and work with forecasts in various units—such as sales volume, revenue, or other measures—ensuring different teams can view forecasts in their preferred format.
Seamless Forecast Adjustment & Collaboration
Enhance collaboration with an Excel-like grid interface that enables quick forecast adjustments by percentage, increments, or direct entry. Changes can be made at any level, with automatic reconciliation, embedded comment fields for documentation, and override reports for full transparency. Teams can collaborate directly in Forecast Pro or via Excel.
Sales & Operations Planning (S&OP) Support
Integrate additional data such as alternative forecasts, inventory levels, and open orders to create customized reports and visualizations that support your organization’s S&OP processes.
New Product Forecasting
Map historical data from existing or discontinued items to new products for accurate forecasting. This feature is invaluable for product replacements, line extensions, warehouse transitions, and other scenarios requiring continuity in forecasting.
Forecast Accuracy & Performance Analysis
Forecast Pro maintains an archive of historical forecasts—both statistical and adjusted—enabling easy comparison to actual results. Waterfall reports provide a clear view of forecast accuracy, helping users identify trends and areas for improvement.
Exception Reporting for Quick Insights
Customizable exception reports highlight areas requiring attention by flagging discrepancies between forecasts and historical data or when forecast error exceeds predefined thresholds.
Forecast Value Add (FVA) Analysis
Track accuracy at each step of the forecasting process by comparing statistical forecasts, final forecasts, and specific overrides against actual outcomes. This helps identify which inputs improve accuracy and which may introduce errors.
