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prudsys AG Zwickauer Straße 16 09112 Chemnitz, Germany http://www.prudsys.de
Contact Ms Diana Drechsel +49 371 2709376
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prudsys AG

DATA MINING CUP 2019: Around 150 teams from all over the world uncovered fraud cases at self-service checkouts

(PresseBox) (Chemnitz, )
The 20th DATA MINING CUP (DMC) ended on May 16, 2019. The anniversary edition of the international student competition was aimed at uncovering cases of fraud in mobile self-scanning in food retailing. Around 150 teams from 28 countries took part. prudsys AG honors the ten best teams at its retail intelligence summit on July 3, 2019 in Berlin.

This year’s DATA MINING CUP ended today with the deadline for the submission of solutions. Already for the 20th time, prudsys AG called on students from all over the world to test their knowledge on a practice-oriented data mining task. Altogether 149 teams of 114 universities from 28 countries took up the challenge from the field of Fraud Detection. In a maximum of six weeks, the students were challenged to develop a mathematical model that reveals as many cases of fraud as possible in self-scanning without frightening innocent customers away by the follow-up checks. As a basis prudsys provided exemplary data of a food retailer.

The ten best teams will be invited to the retail intelligence summit 2019 on July 3. Under the motto “Smart Decisions for Smart Retail” the conference for AI in retail will take place at the nhow Hotel in Berlin. In addition to an exciting keynote speech by future manager Pero Mićić, around 150 trade visitors can expect practical insights and real applications of intelligent price optimisation and personalisation, e.g. from Weidmüller, Westfalia and moebel.de. The awards ceremony for the DMC winners traditionally takes place during the evening event. In addition to the awards, the best three teams can look forward to prize money worth between 500 and 2,000 euros.

More information about the DATA MINING CUP at: http://www.data-mining-cup.com

Program and registration for retail intelligence summit at: https://summit.prudsys.de/en/

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prudsys AG

prudsys AG is the leading provider of agile AI technologies for omnichannel retail. The prudsys Realtime Decisioning Engine (prudsys RDE for short) automates personalization and pricing processes across the entire value chain. This allows retailers to offer customers a seamless shopping experience of the utmost personal relevance at every sales channel while simultaneously maximizing customer loyalty and earnings.

prudsys AG has been on the market since 1998. As a pioneer in the fields of real-time personalization and automated pricing, the Chemnitz-based company has been actively working to shape the development of omnichannel business from the start. prudsys AG customers include companies such as babywalz, bonprix, C&A, Coop, Douglas, Klingel, Obi, Sanicare, Thalia and Würth.

prudsys AG is considered a best-of-breed provider. Its in-house research department works tirelessly to further develop intelligent algorithms and test innovative methods for omnichannel business. The company is the holder of numerous patents and places great importance on cooperation with renowned scientific institutions.

prudsys AG has hosted the DATA MINING CUP since 2000. Every year, over one hundred universities and thousands of students take part in the internationally renowned competition for intelligent data analytics and forecasting. prudsys AG has thus been successfully bridging the gap between theory and practice.

prudsys AG is part of the GK Software Group. GK Software SE is a leading developer and provider of standard software for the retail sector.

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The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.