Posted Date: 10/29/2009
Aeropostale Improves Merchandise Allocation at Store Level
Aeropostale uses Merchandise Allocation from SAS in order to fulfill merchandise demand. Allocations created through this solution are based on fashion and seasonal trends; customer demand; and store, channel and location attributes. Using SAS Merchandise Allocation, Aeropostale can optimize allocations for each product at the store-size level, increase productivity through automation, and reduce distribution costs.
"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.
To further enhance the accuracy of vendor order and product distribution, Aéropostale also recently added SAS Size Optimization, which includes SAS Size Profiling and SAS Pack Optimization. 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. SAS Pack Optimization indicates supply decisions by determining the order quantities of each available shipping case, including combinations of multi-sized and single-sized configurations to meet individual store's size needs across multiple deliveries.
"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.
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Top 10 Takeaways from the 2012 Store Systems Study 1/25/2012 2:00:00 PM (EST)
Moderator: Joe Skorupa, Group Editor-in-Chief, RIS News
Panelists: >>Lee Holman, Lead Retail Analyst,IHL Group >>Charlie McCarter, Regional Sales Director, SMB Retail Solutions, Dell Inc >>Barry Wise, Industry Consultant, Epson America, Inc.
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Retailers who have deployed automated workforce management solutions, such as budgeting, forecasting, scheduling, timekeeping and task management, have access to volumes of valuable data, which can yield a wealth of analytical information to improve workforce optimization and labor allocation. Explore how to build the optimal workforce management dashboard and gain actionable insight to improve labor optimization initiatives.
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