Pironet NDH and prudsys AG have equipped the online store of Europe's leading cosmetics chain, Douglas, with their self-learning Recommendation Engine. This provides customers with dynamically generated purchase tips while they are shopping, based on their current product selection. The prudsys Recommendation Engine (prudsys RE) is already in use in numerous online stores, where it makes targeted purchase suggestions and leads to an increase in cross-selling turnover.
Customers can select from over 18,000 products at douglas.de. Numerous brands can be found in the high street stores, with their extensive range of scents and bodycare products. The online store is supplemented by video clips giving care and make-up tips, as well as hair and jewelry products. The Douglas store is thereby the leading portal in the cosmetics industry.
The prudsys RE is employed as a recommendation engine by douglas.de to improve the level of their customer advice and to exploit cross-selling potential. The software compares the contents of the current shopping basket with others and suggests carefully targeted complementary articles under the "Perfect Partners" rubric. The system makes use of basic product relationships to determine logical combinations – on a fully autonomous basis. The self-learning Recommendation Engine registers the reaction of the customer to the suggestion in real time and then modifies the recommendation – dynamically, where appropriate. This renders the suggestions more personalized and increasingly accurate. Furthermore, Douglas is to employ the prudsys Merkur Miner, one of the most powerful OLAP tools, for the analysis and processing of their customer data.
"In the high street Douglas stands for first-class advice, with the focus firmly on the customer. Since these standards also apply to our online store, the Recommendation Engine gives us the basis we need for qualified recommendations and better customer dialog," comments Jan-Dieter Schaap, Director of e-business for the Douglas Perfumery. "Our customers appreciate the purchase tips as an intelligent service and respond to them in a very positive manner."
"In this day and age, customers expect online stores to provide them with purchase tips that really match their areas of interest. This can only be achieved by means of dynamic and intelligent methods, as offered by our recommendation technology. At douglas.de, in particular, we are expecting a higher number of spontaneous purchases and an improved conversion rate," explains Christian Winter, Director Retail of Pironet NDH.
Customers can select from over 18,000 products at douglas.de. Numerous brands can be found in the high street stores, with their extensive range of scents and bodycare products. The online store is supplemented by video clips giving care and make-up tips, as well as hair and jewelry products. The Douglas store is thereby the leading portal in the cosmetics industry.
The prudsys RE is employed as a recommendation engine by douglas.de to improve the level of their customer advice and to exploit cross-selling potential. The software compares the contents of the current shopping basket with others and suggests carefully targeted complementary articles under the "Perfect Partners" rubric. The system makes use of basic product relationships to determine logical combinations – on a fully autonomous basis. The self-learning Recommendation Engine registers the reaction of the customer to the suggestion in real time and then modifies the recommendation – dynamically, where appropriate. This renders the suggestions more personalized and increasingly accurate. Furthermore, Douglas is to employ the prudsys Merkur Miner, one of the most powerful OLAP tools, for the analysis and processing of their customer data.
"In the high street Douglas stands for first-class advice, with the focus firmly on the customer. Since these standards also apply to our online store, the Recommendation Engine gives us the basis we need for qualified recommendations and better customer dialog," comments Jan-Dieter Schaap, Director of e-business for the Douglas Perfumery. "Our customers appreciate the purchase tips as an intelligent service and respond to them in a very positive manner."
"In this day and age, customers expect online stores to provide them with purchase tips that really match their areas of interest. This can only be achieved by means of dynamic and intelligent methods, as offered by our recommendation technology. At douglas.de, in particular, we are expecting a higher number of spontaneous purchases and an improved conversion rate," explains Christian Winter, Director Retail of Pironet NDH.
