prudsys at Internet World 2014: Personalised search leads to increased sales
prudsys AG introduces its new, personalised search function for online shops at Internet World (25.2.-26.2.2014, Munich). Visitors attending the lecture?Realtime personalisation in multi-channel trade? learn how to use personalisation to push sales.
(PresseBox) - The search function is an important feature in an online shop. The speed with which a visitor to the shop actually finds the desired product often decides whether or not he purchases it. For the first time, prudsys attends Internet World from 25-26.2.2014, booth E248, hall B1, to showcase how shop visitors can take advantage of personalised product search using the prudsys Realtime Decisioning Engine (prudsys RDE for short).
Most product searches in online shops generate content-based results, in other words products that are similar to the search term. For the first time, the prudsys RDE | Search module enables transaction-based searches. During the course of a product search, the items recommended to potential buyers are based on previous behaviour in the online shop (clicks, shopping baskets) and generate the highest turnover. Thanks to prudsys RDE realtime learning, product recommendations that actually correspond to visitors? interests are displayed. Personalised searching thus takes on a key role. In addition to this novelty, users of the prudsys search function also benefit from other functions including auto-suggest, fuzzy and wildcard search and after-search navigation.
In his lecture ?Realtime personalisation in multi-channel trade? at Internet World, Jan Lippert, Head of Sales at prudsys, provides insight into the world of realtime analysis. The public learns how an individual approach in the online shop, via the newsletter, mobile devices or in retail can be used to achieve long-term increases in sales. The lecture takes place on 26.2.2014 at 12:30 pm in Infoarena II.
On a daily basis the prudsys Realtime Decisioning Engine offers customers a special shopping experience with around 670 million personalised recommendations in over 200 online shops in 34 countries. With a trade volume of over 8 billion USD from recommendations each year, the realtime analytics system is one of the world?s most successful personalisation solutions.
prudsys AG is the holder of numerous patents and is considered the best-of-breed provider for realtime analytics. prudsys consolidates and developes it`s leading position in this field through cooperation with leading universities and other scientific institutions. prudsys is a member of the DMG and OMG standards committees and thus actively participates in the development of standards in intelligent data analysis.
As the organizer of the globally established DATA MINING CUP, competition for intelligent data analysis and forecasting, prudsys has been encouraging students and universities to develop practical applications in this field every year since 2000.
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On a daily basis the prudsys Realtime Decisioning Engine offers customers a special shopping experience with around 670 million personalised recommendations in over 200 online shops in 34 countries. With a trade volume of over 8 billion USD from recommendations each year, the realtime analytics system is one of the world?s most successful personalisation solutions.
prudsys AG is the holder of numerous patents and is considered the best-of-breed provider for realtime analytics. prudsys consolidates and developes it`s leading position in this field through cooperation with leading universities and other scientific institutions. prudsys is a member of the DMG and OMG standards committees and thus actively participates in the development of standards in intelligent data analysis.
As the organizer of the globally established DATA MINING CUP, competition for intelligent data analysis and forecasting, prudsys has been encouraging students and universities to develop practical applications in this field every year since 2000.
Datum: 11.02.2014 - 06:53 Uhr
Sprache: Deutsch
News-ID 1293556
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Chemnitz
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Hazadous Materials Management
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