Retailers always keep a close eye on their inventory and aim to sell seasonal items by a specific target date. The challenge lies mainly in setting the prices so that the retailer achieves optimum yield whenever he sells his products. AI-supported pricing software does exactly that – it predicts customer demand and uses it to calculate the optimum price for the product while taking into account the target date of sale. The focus of this year’s DATA MINING CUP (DMC for short) is the sales prediction for an online shop that dynamically adapts its prices.

As part of the competition for intelligent data analytics, prudsys AG has been coming up with tricky practical tasks for 19 years. This way, students can apply their theoretical knowledge to a practical problem. To date, 121 teams from 100 educational institutions in 32 countries have registered. Interested students can register their team until the deadline for submission of tasks on 17 May 2018.

The best up-and-coming data scientists will present their solutions during the personalization & pricing summit on 26 and 27 June 2018 in Berlin. The two-day event is considered the leading conference for the yield-boosting application of artificial intelligence (AI) in omni-channel retail.

Starting today, registered student teams can download the task including specifications at www.data-mining-cup.com. This year students will create a mathematical model to predict sales with the help of historical transaction data from a real German online shop for sporting goods. Participants in the competition have six weeks to submit a predictive model.

For all of the important dates for the DATA MINING CUP 2018 go to www.data-mining-cup.com.
For information about the personalization & pricing summit go to www.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-added chain. This allows retailers to offer customers a 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 OBI, Conrad, COOP, Douglas, 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 right from the start.

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 Pressemitteilung 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.