MODELING CAUSAL FACTORS WITH SEASONAL PATTTERNS IN A CAUSAL PRODUCT DEMAND FORECASTING SYSTEM
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United States of America Patent
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Issued Date -
Feb 24, 2011
app pub date -
Aug 21, 2009
filing date -
Aug 21, 2009
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Abandoned
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Abstract
A method and system for forecasting product demand using a causal methodology, based on multiple regression techniques. In order to better predict product demand changes associated with causal variables having seasonal patterns, such as temperature, the method and system include a technique for removing the seasonal variation of causal variables, i.e., to de-seasonalize the causal factors. The de-seasonalized causal variables are utilized within the causal methodology to generate product demand forecasts.
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