DATA MINING CUP 2017

202 teams from 150 universities in 48 countries

Scenario

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.

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.

Downloads

Task
Solution

Winners

1st Place:

Team School_EPFL_2 (Ècole Polytechnique Fédérale de Lausanne) – Prize: 2,000.00 EUR

Winning team of DATA MINING CUP from the École polytechnique fédérale de Lausanne

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