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The Israeli company GSTAT has completed an agreement to enter a strategic venture with the Milan-based Italian company Esselunga.
Esselunga is a leading retail food chain in Italy with more than 4 million club members and a turnover of approximately 6.4 billion Euros in 2010.
Esselunga has engaged GSTAT to implement its Next Best Offer (NBO) system - a unique analytic system developed by GSTAT. Next Best Offer enables the chain to provide the most suitable personalized marketing recommendation to each of their loyalty program members, from its range of products. The personal offers are printed in the chain stores and can be used as a basis for targeted personalized coupons that will be delivered to the customer's home address. The recommendations reinforce the relationship between the chain and the club members and are used as a unique tool to retain customers and increase the frequency that they visit the stores.
Mr. Ori Davidovich, GSTAT's VP Business Development Officer says: "We are proud to start working Esselunga, one of the leading retail chains in Europe. This venture does reinforce our position, and the breakthrough to the Italian market and the technological innovation of GSTAT products enable us to provide customer-targeted recommendations in a faster and more efficient manner than the other technologies existing in the market. As a result, customers use of Data Mining is greater than ever before and are benefiting from increases in income due to the advanced analysis."
Mr. Enzo Greco, Esselunga's Chief Information Systems says: "We consider Esselunga's targeted marketing activity with club members an important element of the chain activity. GSTAT Next Best Offer will enable us to streamline our focused marketing activity, which will result in a strengthened relationship with chain's club members and an increase in their loyalty."
GSTAT specializes in developing and implementing Automatic Data Mining solutions for telecom companies, banks and retail chains.
GSTAT software solutions are based on automatic Data Mining processes that enable B2C organizations to maximize their revenue from their customers through personal recommendations for deepening activity and customer retention.
The company has been conducting its final negotiation for closing ventures with additional retail chains, telecom companies and leading banks throughout Europe and South America.
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