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prudsys AG was looking for the world’s most promising “Young Data Miners” in 2017


Real-time automated price generation moves into focus for online retailers. Every day, category management faces the challenge of adapting thousands of products to changing market factors. This happens completely automatically when using an intelligent pricing tool. Prices reflect customer appreciation and lead to increased sales. 

The topic of this year’s DATA MINING CUP is to come up with a sales forecast for a mail-order pharmacy that dynamically adapts its prices.


About the task

The central topic of this year's task at the DATA-MINING-CUP is the development of a model that predicts the revenue of a mail-order pharmacy as accurately as possible. Historical anonymised transaction data of a real mail-order pharmacy are provided. The special feature: Product prices were dynamically generated automatically.

1st Place: Team School_EPFL_2 (Ecole Polytechnique Fédérale de Lausanne) - Prize: 2,000.00 EUR
1st Place: Team School_EPFL_2 (Ècole Polytechnique Fédérale de Lausanne) - Prize: 2,000.00 EUR

2nd Place: Team TH_Zuerich_1 (Eidgenössische Technische Hochschule Zürich) - Prize: 1,000.00 EURO

3rd Place: Uni_Southeast_1 (Southeast University) - Prize: 500.00 EURO


Our sincere congratulations go to the winners and we thank all participants for their commitment. We are looking forward to the next DATA MINING CUP competition in 2018.

Latest press releases

  • July 04, 2017
    On track for success with Machine Learning: prudsys personalization summit 2017 proves hugely popular with retailers
    read more

  • June 29, 2017
    Swiss students win gold and silver at the DATA MINING CUP 2017
    read more


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Important Dates

March 8, 2017 - start of registration

April 5, 2017 - start of competition and announcement task

May 17, 2017, 14:00 CEST (2 o'clock p.m. UTC+2, or CEST) - end of competition and closing date

June 27-28, 2017 - prudsys personalization summit in Berlin, Germany and award ceremony

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