Name: José Antonio Taquia


An important effect on demand planning of high volatile products used on the peruvian direct selling market is the lack of supply chain visibility an prediction accuracy. This phenomena is caused by the fact too many variables are involved on this process gathering transactional data. The present work incorporates a bayesian approach to improve the balance between demand and supply planning using posterior variables considering facts of this complex market that dont evolve on an sequential model.