Struggling to understand customer preferences? Unsure how to optimize your retail strategy? Discover how data insights can boost your operational efficiency

The retail industry is undergoing a transformation, driven by the need to better understand customer behavior in the face of declining sales due to e-commerce trends. Are you finding it challenging to optimize your retail strategy and enhance operational efficiency? Join our webinar to discover how Telekom Data Intelligence Hub’s Motion Data can empower you with advanced retail analytics.  

In this session, our experts – Tino Bliesener, offering manager and squad lead of data products and Motion Data, and Hans Trukenbrod, data scientist for Motion Data. Together with Kersten Peter, Head of Data & Strategic Research Austria & Germany for Unibail-Rodamco-Westfield and Christian Betov, Data Analyst / Scientist at Unibail-Rodamco-Westfield HQ Paris – will guide you through the innovative world of retail analytics. They will showcase how Motion Data leverages mobile signal data to address critical challenges and boost your competitive edge.

Join us and unlock the secrets to data-driven retail success! Discover:

  • How Motion Data extracts key metrics from Deutsche Telekom's mobile network, the largest in Europe, to offer strategic insights and competitor analysis
  • How Retail Analytics helps you understand customer preferences, optimize store locations, and improve overall operational efficiency
  • Explore successful implementations of retail analytics in shopping centers, providing valuable insights for your business.

Join us on October 24, from 09:30 to 10:15 CEST. The webinar will be conducted in German.  

Register now and take the first step toward data-driven retail success! 

Missed the event?

09:30 - 09:35 | Welcome & Introduction 

  • Welcome and Agenda, Tino Bliesener, Hans Trukenbrod, Kersten Peter and Christian Betov

09:35 - 10:10 | Deep Dive into Motion Data and Retail Analytics

  • Introducing Motion Data
  • Understanding the power of Retail Analytics 
  • Exploring real-world use cases  

10:10 - 10:15 | Q&A and Wrap-up

  • Q&A Session
  • Closing 

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Date of the event: October 24, 2024

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