Stop & Shop Goes With SPSS Predictive Analytics to Improve Customer Loyalty

QUINCY, Mass. -- Stop & Shop Supermarket Co. here has chosen market-leading predictive analytics software from Chicago-based SPSS, Inc. to enhance customer loyalty and develop new products and services.

The software will provide the Northeast regional grocer with in-depth knowledge of customers' wants and needs, enabling it to deliver timely, compelling promotional offers. Additionally, SPSS will help Stop & Shop zero in on the specific product attributes most important to shoppers, predicting product demand to better manage production and distribution.

"SPSS predictive analytics will help our organization better understand our diverse group of customers and their unique needs with relation to products and promotions," noted Stop & Shop manager of BI analysis and support Ed Garabedian.

"Stop & Shop is one of many advanced retailers that recognize the importance of understanding and predicting consumer behavior in order to create customer loyalty and drive revenue," added SPSS president and c.e.o. Jack Noonan. "SPSS predictive analytics is clearly a cutting-edge competitive advantage in all customer-driven industries."

Employing more than 59,000 associates, Stop & Shop operates 389 stores in Massachusetts, Connecticut, Rhode Island, New Hampshire, New Jersey, New York and Maine and employs more than 59,000 associates.

Over 250,000 public-sector, academic, and commercial customers use SPSS technology to help boost revenue, lower costs, and detect and prevent fraud.
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