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prudsys AG Zwickauer Straße 16 09112 Chemnitz, Germany http://www.prudsys.de
Contact Ms Denise Seifert +49 371 270930
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prudsys AG

DATA MINING CUP 2018: Students from Zurich secure two podium places

On 26 June prudsys AG held its awards ceremony for the best teams in the DATA MINING CUP 2018 in Berlin / First and third place went to the two teams from ETH Zurich / Students from the University of Mannheim were delighted to take second place

(PresseBox) (Chemnitz, )
The winner of this year’s DATA MINING CUP (DMC for short) was the team from ETH Zurich in Switzerland. The two students came out on top against 192 teams of students from 47 countries with their predictions for the sale of sporting goods. The team from the University of Mannheim came second. The other team from ETH Zurich scooped third place. Ranked in the top ten were students from France, Germany and the Russian Federation from the following educational institutions: Telecom ParisTech (4th place), TU Dortmund University (5th and 6th place), Anhalt University of Applied Sciences (7th and 9th place), St Petersburg University (8th place) and University of Potsdam – Hasso Plattner Institute (10th place).

The DMC 2018 came to a close on 17 May after six weeks with the submission of the solutions. This year’s goal was to come up with a sales prediction for the sale of sporting goods. To do this, historical transaction data from a real online sporting goods shop was provided to the students. The awards were presented during the evening program of the personalization & pricing summit on 26 June 2018 at nhow Berlin. Along with their awards, the top three teams took away prize money of between 500 and 2000 euros. The event was aimed at retailers and industry experts and included many lectures explaining how retailers can optimize their processes by using artificial intelligence and thus gain sustainable competitive advantages.

prudsys AG is one of the leading providers of AI technologies in omnichannel business, and has successfully combined data mining theory and practice for 19 years in the DATA MINING CUP. Students from all over the world put their theoretical knowledge of data science to the test in a practical task. Last year’s winning teams came from the École polytechnique fédérale de Lausanne, ETH Zurich and Southeast University in China.

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prudsys AG is the leading provider of agile AI technologies for omnichannel retail. The prudsys Realtime Decisioning Engine (prudsys RDE for short) automates personalization and pricing processes across the entire value chain. This allows retailers to offer customers a seamless shopping experience of the utmost personal relevance at every sales channel while simultaneously maximizing customer loyalty and earnings.

prudsys AG has been on the market since 1998. As a pioneer in the fields of real-time personalization and automated pricing, the Chemnitz-based company has been actively working to shape the development of omnichannel business from the start. prudsys AG customers include companies such as Conrad, COOP, Douglas, OBI, Thalia and Würth.

prudsys AG is considered a best-of-breed provider. Its in-house research department works tirelessly to further develop intelligent algorithms and test innovative methods for omnichannel business. The company is the holder of numerous patents and places great importance on cooperation with renowned scientific institutions.

prudsys AG has hosted the DATA MINING CUP since 2000. Every year, over one hundred universities and thousands of students take part in the internationally renowned competition for intelligent data analytics and forecasting. prudsys AG has thus been successfully bridging the gap between theory and practice.

prudsys AG is part of the GK Software Group, one of the world’s leading providers of complete store solutions.

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The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.