Briefs

The Realtime Analytics specialist prudsys AG has supplemented its self-learning recommendation engine by new, powerful modules. For the first time, retailers can utilize dynamic price optimization and realtime scoring in their daily operations.

Chemnitz, 01-24-2007

Recommendation engines are meanwhile used in many online shops. They automatically generate product recommendations and stimulate purchases. Traditional recommendation engines are mostly based on the classic principle of Data Mining: They analyze historic user and transaction data in order to build models which are applied in the web shop to provide product recommendations.

The prudsys RECOMMENDATION ENGINE (prudsys RE) of realtime specialist prudsys AG is the first self-learning recommendation engine and has pioneered the development of adaptive systems. Beyond the analysis of historic data, the system continuously learns through user interaction. Thus, the prudsys RE presents offers in real time to the user, analyses her response and modifies the offers resulting in recommendations of very high quality. Many renowned online shops like Quelle.de, Baur.de, HSE24.de, and Westfalia.de meanwhile profit from the superior learning skills of the prudsys RE.

The prudsys RE now has been extended by a set of important modules like Dynamic Price Optimization, Realtime Scoring, Reporting, Multichannel Campaigns, and Visualization of Recommendation Graphs.

For more information, visit

www.prudsys.com/Software/Komponenten/RecommendationEngine/