Winning team of the DATA MINING CUP 2018

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.

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.