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Hub Airport 4.0 – How Frankfurt Airport Uses Predictive Analytics to Enhance Customer Experience and Drive Operational Excellence

  • Rolf FelkelEmail author
  • Dieter Steinmann
  • Frank Follert
Chapter

Abstract

In this article, an overview is given of several recent projects at Frankfurt airport that broke new ground by using predictive analytics and adopting innovative approaches to tackle commercial and hub specific operational challenges with big data analytics. The first exemplary project focused on the design and implementation of a comprehensive passenger flow management solution, which resulted in reduced waiting times leading to significantly increased customer satisfaction. Furthermore, the Smart Data Lab concept is presented, an agile approach to investigate business opportunities with predictive analytics which has been successfully applied to various topics such as recognizing trends in retail revenues.

References

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    C. Mayer, R. Felkel and K. Peterson, “Best practice on automated passenger flow measurement solutions,” Journal of Airport Management, vol. 9, no. 2, pp. 144–153, Winter 2014–15.Google Scholar
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Copyright information

© Springer-Verlag GmbH Germany 2018

Authors and Affiliations

  1. 1.Fraport AGFrankfurt on the MainGermany

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