SAS Demand Forecasting for Retail enables improved forecast accuracy and consistency; better decision making; and enhanced allocation and replenishment precision that reduces stock-outs and manual interventions to make both the top and bottom line healthier. Key enhancements include new fashion forecasting capabilities, streamlined workflows that enhance usability and upgraded exception management that reduces workloads.

Jeff Levitan, general manager of SAS global customer intelligence and retail solutions, said: Many retailers still rely on rudimentary methods to produce multiple forecasts that can’t be reconciled. By bringing this enhanced demand forecasting product to the market, we’re confident our customers will experience improved speed, accuracy and efficiency in their ability to forecast demand for the products they offer.