Keeps Profit Margins in Line
Chicago, Ill., March 14, 2005 - Save Mart Supermarkets, a 120-store chain in California, is using predictive analytics software from SPSS Inc. (NASDAQ: SPSS) to fend off competitors in its markets by tightly controlling category management and keeping profit margins in line.
SaveMart’s use of the ShowCase® Suite from SPSS, a business intelligence and data mining solution for organizations using the IBM® eServer iSeries™ (AS/400®) computing platform, quickly evolved into a key business tool supporting strategic and tactical business decisions across Save Mart’s operations.
Using SPSS’ ShowCase Suite, Save Mart can fully assess the dynamics of each store’s performance and can make the right decisions on the inventory, pricing and promotional activities that will benefit each store.
“With us facing tough competition from national supermarket chains, it’s critical that we immediately understand how each store’s categories are being affected by market changes,” said Sandy Strube, Save Mart financial analysis manager. “SPSS enables us to make quick, informed decisions and plays a large part in keeping Save Mart ahead of our competition.
“SPSS’ predictive analytics software has brought valuable business insight to decision makers throughout our organization, from executives to store managers,” added Strube. “This helps us make sound decisions to keep our customers happy and our business strong and viable.”
SPSS Inc. (NASDAQ: SPSS) is a leading worldwide provider of predictive analytics software and solutions. The company`s predictive analytics technology connects data to effective strategic action by drawing reliable conclusions about current conditions and critical future events. More than 250,000 commercial, academic, and public sector customers rely on SPSS technology to help increase revenue, reduce costs, improve important processes, and detect and prevent fraud. More than 95 percent of the Fortune 1000 companies are SPSS customers. Founded in 1968, SPSS is headquartered in Chicago, Illinois. For additional information, please visit www.spss.com
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