Preparing forecasts using data that contain one or more unusually large or small demand periods can be challenging. Depending on your forecasting approach, these “outliers” can have a significant impact on your forecasts. This article surveys three different approaches to forecasting data containing unusual demand periods, discusses the pros and cons of each and recommends [...]
Forecast Pro’s Expert Selection system can generate thousands of forecasts automatically; however, the automatic forecasting approach can fall short if the historical data do not represent a typical demand pattern for a given item because of certain events. For example, an unexpected large order may inflate the forecast for the following year, or a stockout [...]
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