Around 200 guests attended the two-day personalization & pricing summit (or pps for short), staged under the motto "Reinforcing Retail". The highlights of the event included the many Best Practice presentations, the varied supporting program and award of the DATA MINING CUP 2018 to the winning teams. The verdict: Over 90 % of attendees rated the event as good or very good. 88% of attendees would recommend the pps to others.

The focus of the pps was the current challenges facing the retail industry: What personalized customer approach scenarios reinforce customer loyalty? How is it possible to adapt thousands of item prices in the framework of a specific pricing strategy via automation? And how can AI optimize a company’s processes? Answers to these questions were provided by speakers for example from IKEA, 11teamsports, 1-2-3.tv, and GK Software. Attendees were offered insights into topics such as markdown pricing, price bundling, print personalization, intelligent campaigns, visual search or customization with Alexa.

The "Omnichannel Hub" also allowed visitors to try out innovative scenarios involving personalization and dynamic pricing on the spot.

The presentations of the two keynote speakers likewise proved very popular with attendees. Commerce specialist Prof. Dr. Gerrit Heinemann discussed the "Rediscovery of over-the-counter retailing", while futurologist Joachim Graf explained "Why the digital transformation is neither digital, nor a transformation".

At the party on the evening of the first day of the event, the attendees made acquaintance with the data mining experts of tomorrow. prudsys AG held its awards ceremony for the best teams of this year’s DATA MINING CUP. Of the 200 or so international teams which entered, it was the students from ETH Zurich who beat off the competition to take first and third place, while the University of Mannheim came second here.

For full details about the personalization & pricing summit 2018, see https://summit.prudsys.de.

 

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 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.