Get optimal recommendations on markdown candidates and pricing based on their risk at the end of the selling period, maximizing profitability over the lifecycle. Combines consumer demand with advanced predictive and simulation techniques to optimize every possible pricing scenario Delivers workflow and a decision framework that allows for what-if scenarios and comparisons Maximizes margins over the item's entire lifecycle, not just during the full-price selling period Enables retailers to monitor performance of past and ongoing markdown activities against financial and operational goals Provides visibility into below-chain-level forecast recommendations, recommended new retails, and gross margin costs of delayed decisions