Universal Modeling Engine

In Workforce Management (WFM), a forecasting method that uses a complex algorithm to identify trends and patterns in historical data, with which it then creates a forecast. The Universal Modeling Engine requires more than one year of historical data. The engine is configured to disregard days in the historical data that contain special events, if no such events occur during the forecast period. This eliminates some misleading “noise” from the forecasts. If an event occurs in the forecast, the impact is extracted from historical data and applied to the baseline forecast. The Universal Modeling Engine is best suited to sites that have a large quantity of high-quality historical data.

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