SYSTEM AND METHOD FOR DE-SEASONALIZING PRODUCT DEMAND BASED ON MULTIPLE REGRESSION TECHNIQUES

摘要

An improved method and system for forecasting product demand using a causal methodology, based on multiple regression techniques. The improved causal method revises product group seasonal factors used by conventional forecasting applications to best fit the sales pattern of an individual product in the product group through the calculation of an exponential coefficient which measures the deviation of the historical sales pattern of an individual product from the product group seasonal factors. The value of exponential coefficient is calculated using a causal framework through multivariable regression analysis.