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SAS Launches Intelligence Solution For Retailers - June 09, 2004

Business Intelligence software maker SAS launched today SAS Retail Intelligence Solutions, a new suite of integrated offerings that address the needs of retailers.

The solution will enable retailers to understand past customer behavior and predict future buying patterns, determine the net profitability of products, and see the effectiveness of promotional campaigns across multiple channels.


By extracting inferences from customer databases, retailers can formulate and implement consistent business strategies and performance metrics across the organization, improve customer service and maximize profitability.

"Despite being a $3 billion industry in India, retailing remains remarkably inefficient and volatility is the only constant," said Vivek Gokarn, MD & CEO, SAS India Pvt. Ltd. "This new addition to SAS' family of retail offerings address the issue by providing retailers with the clarity required to optimize key profit drivers."

At the heart of each solution is SAS' expertise in data management and predictive analytics, for enabling retailers to reduce their dependence on gut instinct and year-over-year histories. Underlying the entire suite is the SAS Retail Intelligence Architecture, a data model that contains customer, retail outlets, supply chain and transaction information (down to the SKU level).

The solution has several modules. A ‘Customer Insight’ component will help retailers understand their customers through quantitative analysis, strategic segmentation and behavior predictions based on customers' demographic, psychographic, transactional and attitudinal data. Additionally, the module will offer retailers the ability to segment and profile stores based on transaction history and trade area demographics.

A ‘Supply Chain Costing’ module will combine advanced data management and a retail-specific costing methodology to give financial visibility into supply chains. A ‘Promotional Effectiveness’ component will allow retailers to forecast the impact of promotions on uplift of base volumes by SKU, retail outlet and by the week/time of promotion, thus supplementing merchandising and marketing decisions.

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