Demantra Engine Tuning: Why Tune Your Forecast Engine
Poor statistical forecasts lead to many inefficiencies including out-of-stocks, material shortages, higher inventories and over-compensation through poor safety stock policies. Moreover, users not having a basic understanding of how Demantra works contributes to user frustration. This all adds up to wasted time, manual work outside of the system, and true costs to the business. Demantra's sophisticated statistical engine can and should be tuned to significantly improve forecast accuracy and reduce supply chain operational costs. Watch this webinar to learn more.