The central topic of this year’s task in the DATA MINING CUP competition is the prediction of the return rates for a fashion distributor. Returns have been a major cost driver for online shops for many years. This is particularly the case for assortments in the fashion industry. Many approaches to solve this problem are based on forecasting models. Predicting returns was the central topic in the DATA MINING CUP of 2014. This year we look at the topic in more detail focusing in particular on the influence of discounted items and vouchers on return rates. 

About the task

A fashion distributor sells articles of particular sizes and colors to its customers. In some cases items are returned to the distributor for various reasons. The order data and the related return data were recorded over a two-year period. The aim is to use this data and methods of data mining to build a model which enables a good prediction of return rates.

Participants can submit their results up to and including 18 May 2016 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 25, 2016
    prudsys personalization summit 2016: Welcome to shopper’s paradise
    read more

  • May 19, 2016
    DATA MINING CUP 2016: Final sprint to the podium
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  • April 06, 2016
    DATA MINING CUP 2016: Stemming the flood of returns in online trading
    read more


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Important Dates

March 9, 2016 - start of registration

April 6, 2016 - start of competition and announcement task

May 18, 2016, 14:00 CEST (2 o'clock p.m. UTC+2, or CEST) - end of competition and closing date

June 28-29, 2016 - prudsys personalization summit (for retail) in Berlin, Germany and award ceremony

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