The DMC 2018 came to a close on 17 May with the submission of the solutions. Once again, the renowned competition for intelligent data analytics enjoyed great popularity. A total of 193 teams from 148 institutions in 47 countries worked on a tricky pricing task. This year’s goal was to come up with a sales prediction for the sale of sporting goods. To do this, historical transaction data from a real German online sporting goods shop was made available to the students. The online shop adapts its prices dynamically. Participants had a total of six weeks to submit a predictive model.

The teams with the best sales prediction can look forward to attractive cash prizes and participation in the personalization & pricing summit 2018 in Berlin. The leading conference for the earnings-boosting application of artificial intelligence in omnichannel retail will take place on 26 and 27 June at the nhow Hotel in Berlin with the tagline “Reinforcing Retail”. Over 200 experts will discuss news and trends for successful personalization, automated price optimization and AI-optimized processes. Among other things, visitors can look forward to keynote speakers Prof. Dr. Heinemann and Joachim Graf as well as best practice presentations from OBI (requested), 11teamsports, 1-2-3.tv, GK Software and BikerBoarder, to name a few.

prudsys will present awards to the ten best DMC teams on the evening of the first day of the conference. For the 19th time, prudsys AG, the leading supplier of agile AI technologies for omnichannel retail, called on students from around the world to test their know-how on a practical problem. The DMC tasks over the last few years have covered a number of retail topics. Examples: predicting returns, predicting shopping cart value, predicting coupon redemption and developing agents that predict the probability of an order.

Information about the DATA MINING CUP can be found at: http://www.data-mining-cup.com
To see the schedule and register go to: https://summit.prudsys.com

Über die 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 Conrad, COOP, Douglas, OBI, 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, one of the world’s leading providers of complete store solutions.

Firmenkontakt und Herausgeber der Meldung:

prudsys AG
Zwickauer Straße 16
09112 Chemnitz
Telefon: 0371 2 70 93-0
Telefax: 0371 2 70 93-90
http://www.prudsys.de

Ansprechpartner:
Denise Seifert
Marketing / PR
Telefon: +49 (371) 27093-0
E-Mail: seifert@prudsys.de
Für die oben stehende Story ist allein der jeweils angegebene Herausgeber (siehe Firmenkontakt oben) verantwortlich. Dieser ist in der Regel auch Urheber des Pressetextes, sowie der angehängten Bild-, Ton-, Video-, Medien- und Informationsmaterialien. Die United News Network GmbH übernimmt keine Haftung für die Korrektheit oder Vollständigkeit der dargestellten Meldung. Auch bei Übertragungsfehlern oder anderen Störungen haftet sie nur im Fall von Vorsatz oder grober Fahrlässigkeit. Die Nutzung von hier archivierten Informationen zur Eigeninformation und redaktionellen Weiterverarbeitung ist in der Regel kostenfrei. Bitte klären Sie vor einer Weiterverwendung urheberrechtliche Fragen mit dem angegebenen Herausgeber. Eine systematische Speicherung dieser Daten sowie die Verwendung auch von Teilen dieses Datenbankwerks sind nur mit schriftlicher Genehmigung durch die United News Network GmbH gestattet.

counterpixel