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SAS® Merchandise Allocation supports Aéropostale’s continued growthLeading clothing retailer also selects SAS® Size OptimizationThe Premier Business Leadership Series, Las Vegas (28 Oct. 2009) – With SAS® Merchandise Allocation software as a core component of its business analytics approach, Aéropostale Inc. (NYSE: ARO), a mall-based specialty retailer of casual and active apparel for young women and men, has continued to experience strong, sustained sales growth, despite a weakened economy. The software from SAS, the leader in business analytics, provides Aéropostale’s management team with greater visibility into customer demand at its more than 900 Aéropostale stores. This allows Aéropostale to continue to meet growing demand by delivering the right merchandise to the right store at the right time. Year to date, Aéropostale’s same-store sales have increased 12 percent compared to a same-store sales increase of 10 percent in the same period last year. Such eye-popping sales numbers, rare in retail lately, crown 11 consecutive years of positive, same-store sales growth at Aéropostale. “SAS Merchandise Allocation improved the allocation accuracy of our initial floor sets by ensuring that our customers are able to purchase the styles they want when they want them” said Barbara Pindar, Senior Vice President of Planning and Allocation at Aéropostale. Today’s announcement came at The Premier Business Leadership Series event in Las Vegas, a business conference presented by SAS that brings together more than 600 attendees from the public and private sectors to share ideas on critical business issues.
SAS® Merchandise Allocation
SAS® Size Optimization “SAS Size Optimization will be used to enhance the accuracy of our vendor orders and further improve store product allocation accuracy at the SKU level.” said Pindar. SAS Size Optimization is built on two primary software applications: SAS Size Profiling and SAS Pack Optimization. SAS Size Profiling automatically generates store-specific size profiles from multiple product perspectives including department, class, style and color to ensure the highest precision of relative size demand for each product.. SAS Pack Optimization indicates the best supply decisions by determining the ideal order quantities of each available shipping case, including combinations of multi-sized and single-sized configurations to best meet individual store’s size needs across multiple deliveries.
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