CAUSAL PRODUCT DEMAND FORECASTING SYSTEM AND METHOD USING WEATHER DATA AS CAUSAL FACTORS IN RETAIL DEMAND FORECASTING

摘要

A method system for forecasting product demand using a causal methodology, based on multiple regression techniques. The methodology utilizes weather related data as a set of causal factors for retail demand forecasting. These weather related factors may include temperature, precipitation, snow, accumulated snow, or extreme weather conditions.