Demantra’s industry leading statistical engine can and should be tuned to significantly improve forecast accuracy and drive down inventory and other related operational costs. Demantra’s sophisticated engine capabilities can be tuned to understand how Demand patterns vary by product, product line, life cycle, customer, business segment, seasons, as well as numerous other causal factors and variants.
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.