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prudsys IREUS recommendation engine now available in English


 
  
At www.ireus.net online shop operators can use the leading recommendation technology in real-time as an SaaS version and integrate it quickly and easily into their own online shop thanks to the numerous ready-made interfaces.


prudsys IREUS: Rent a recommendation engine - the leading real-time recommendation technology for online shops is now available in English.

prudsys IREUS

The leading online portal for shop customisation in Germany presents itself in good time for Christmas not only with a new look, but now also offers an extended range of functions and a flexible, customer-friendly price model. In addition, thanks to the new English language option, prudsys IREUS now reaches international shop operators and thus enables IREUS recommendation technology to be integrated quickly and easily into your own online shop.

November 4, 2010. prudsys IREUS - the online portal for intelligent and customised recommendations - was relaunched with numerous new features and an English language option. At www.ireus.net online shop operators can use the leading recommendation technology in real-time as an SaaS version and integrate it quickly and easily into their own online shop thanks to the numerous ready-made interfaces. After logging on free of charge to www.ireus.net any shop operator can set up their own recommendation application with prudsys IREUS and provide their customers and visitors with customised product recommendations. The technology behind prudsys IREUS is able to capture visitors' responses to the recommendations in real-time, analyse them and include the results in the next recommendation calculation immediately so that the quality is improved.

Using customised product and purchase recommendations that are personalised for the shop visitor, potential customers are not only offered a special buying experience. Customised recommendations with high personal relevance also extend the time the visitor stays in the shop, increase the conversion rate and therefore also the company's revenue. To date such recommendation engines have been costly and used a lot of resources so they were barely profitable for smaller online merchants.

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