ROLLER Furniture Selects SAF AG To Automate Ordering Process And Improve Customer Service

SAF enables furniture retailer to reduce ordering process time by 50 percent

SAF AG recently announced that ROLLER, a German furniture discounter, will utilize SAF RetailSuite Store software to create automatic orders to optimize the replenishment process and regain valuable time for customer service. The company signed a license agreement and will use the solution across its 100 stores in Europe.

During a pilot phase, three stores ordered a selected product assortment fully automated by SAF's software. This assortment consisted mainly of items that would be available for immediate sale, not ordered based on specific customer orders. Using SAF RetailSuite Store software, ROLLER reduced its ordering time by 50 percent. Due to the pilot's success, the retailer quickly integrated SAF's software into the order writers' daily work routine. Now, order writers no longer have to manually enter each individual order and have more time to focus on customer service. After just weeks, less than 10 percent of orders had to be manually modified.

Due to the improved order quality, the SAF system also optimized ROLLER's inventory range according to movement class and product assortment. During the pilot phase, SAF proved that ROLLER's promotional items were better aligned with customer demand and that out-of-stocks had almost been completely avoided.

"ROLLER chose us for our leading-edge technology and industry knowledge," said Udo Meyzis, Chief Executive Officer at SAF AG. "Our customers benefit not only from our technology leadership but also from our in-depth understanding of and experience in optimizing ordering processes for retail companies around the world."

For more information, please visit www.saf-usa.com.

About SAF AG
SAF USA is a global technology leader in software solutions that optimize the retail demand chain with its fully automated, micro-forecasting and store ordering software. As the most experienced software provider of Demand Forecasting and Automated Store Replenishment systems (CAO/CGO) for retailers and collaborative manufacturers, its solutions dramatically increase sales, reduce out of stocks, and improve inventory positions for some of the world's largest retailers. Using advanced causal and predictive engines, SAF tools accurately calcu-late product demand; then automatically order the correct quantities to meet that demand, optimizing store inventory, and more importantly, improving each customer's shopping ex-perience.

SOURCE: SAF AG