Retailers' shift into high-performance gear drives success

SAS® Retail Planning slashes time, localizes merchandise, boosts profits

The next wave of merchandise planning has arrived: SAS® Retail Planning, which provides the ability to "speak the language" of individual stores, overcomes computing limitations and drives profits. Customers find what they want, leave satisfied and come back for more. SAS, the leader in business analytics  software and services, helps retailers worldwide become fluent in the language of local markets. And 2012 enhancements to its cornerstone merchandise-planning software make it easier than ever for retailers to satisfy customers with the right item, at the right price, in the right location.   

Retailers like Belk, Family Dollar, the Marine Corps Exchange, Marks & Spencer,, Shopko and Winn-Dixie have succeeded using SAS Retail Planning software for assortment, merchandise financial and cross-channel planning. SAS created the software with input from its Retail Customer Advisory Board, a group of influential global retailers who span soft lines, grocery, online and more. 

"Localizing our assortments is a key growth initiative for Kohl's," said Bernie Powers, Kohl's Senior Vice President for Merchandise Information. "By tailoring our offering by market, we are able to increase engagement with local customers. The enhancements that SAS is making to its merchandise planning product in 2012 will enable our merchants and planners to develop and execute these customized assortments more easily."

SAS helps retailers develop a deep understanding of customers while simultaneously supporting merchandising decisions that boost the bottom line. "SAS Retail Planning gives retailers the ability to do things they've never done before – localizing their merchandising plans using a high-performance platform," said Diana McHenry, Director of SAS Global Retail Product Marketing. 

SAS Retail Planning – including SAS Retail Assortment Planning and SAS Retail Financial Planning – helps retailers improve collaboration and strategic planning so they can realize efficiencies in  pricing, size, assortment planning and space usage.

Retailers anticipate, act and affect with SAS® for Retail

SAS Retail Planning drives unparalleled insight for retailers. SAS' retail business knowledge – coupled with powerful, advanced analytics – supports flexible lifecycle merchandise planning through a variety of investment, deployment and growth options.

SAS retail customers worldwide include Aeropostale, AutoZone, Beall's, Belk, Brooks Brothers, Cabela's, Carrefour, Casino, Casual Male, Charming Shoppes, Chico's FAS Inc., The Children's Place, DSW, Eddie Bauer, Family Dollar, Gander Mountain, Hallmark, Hudson's Bay Company, J Crew, Kohl's, Macy's, the Marine Corps Exchange, Mark's Work Wearhouse, Marks & Spencer, Northern Tool & Equipment, Office Depot, S-Group, Sainsbury's, Shopko, Sport Chalet, Spiegel Brands, Staples, Tesco, Tween Brands, Waitrose, Wakefern, Williams-Sonoma, Winn-Dixie and 1-800-FLOWERS.COM.

For more information about SAS Retail Intelligence Solutions and SAS Customer Intelligence solutions, visit Visit SAS at the NRF 101st Annual Convention and EXPO in Booth 1352.

Om SAS Institute i Norden og Baltikum

SAS Institute er verdens største privateide IT-selskap med over 11 000 ansatte og 50 000 kunder i 127 land, og er ledende leverandør av Business Intelligence og Analytics løsninger. Selskapet har opparbeidet en sterk posisjon i Norden og Baltikum og bistår over 1300 kunder fra kontorer i Oslo, Stavanger, København, Skanderborg, Stockholm, Helsinki, Riga og Vilnius.

Siden 1976 har SAS Institute gitt kundene muligheten til å ta riktigere beslutninger raskere. Avanserte statistikk- og analysemetoder i brukervennlige applikasjoner hjelper virksomhetene med å avdekke nye sammenhenger og se nye forretningsmessige muligheter. SAS Institute er den eneste leverandøren som fullt og helt integrerer datavarehus, analyse og løsninger for Business Analytics, slik at du får ny og overordnet kunnskap ut av din virksomhets data.

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