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.

Participants can submit their results up to and including 17 May 2017 14:00 CEST (2 o'clock p.m. UTC+2, or CEST). The task below explains how to submit entries.

Please take into account potential delays in sending the email and send your solution in a timely manner!


Latest press releases

  • May 18, 2017
    DATA MINING CUP 2017: Pricing task leads to record attendance
    read more

  • April 20, 2017
    prudsys personalization summit 2017: Machine learning leads to retail success
    read more

  • April 05, 2017
    Dynamic pricing challenges students around the world attending 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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