Sap Ag

Mohammed Mneimneh

Gustavo Ayres De Castro

A computer-implemented method transforms transactional data into a forecast of demand for controlling a commerce system. Goods move between members of a commerce system. The transactional data is recorded. Daily disaggregating parameters (DDP) are estimated by minimizing an error function of day of week and transactional data grouped according to promotion, price range, or customer. Model parameters are estimated based on the DDP and transactional data using a demand model to generate a weekly forecast of demand for the good. The weekly forecast of demand is disaggregated into daily components using the DDP. The daily components of the forecast of demand are provided to a member of the commerce system to control the movement of goods in the commerce system. Any variation in the demand model due to promotions, price changes, out-of-stock, and low selling product is taken into account when determining the daily components.

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Scottsdale, AZ, United States of America

Mohammed Mneimneh