The book provides a comprehensive overview of current practices and future directions in
airline revenue management. It explains state-of-the-art revenue management approaches and
outlines how these will be augmented and enhanced through modern data science and machine
learning methods in the future. Several practical examples and applications will make the
reader familiar with the relevance of the corresponding ideas and concepts for an airline
commercial organization. The book is ideal for both students in the field of airline and
tourism management as well as for practitioners and industry experts seeking to refresh their
knowledge about current and future revenue management approaches as well as to get an
introductory understanding of data science and machine learning methods. Each chapter closes
with a checkpoint allowing the reader to deepen the understanding of the contents covered.This
textbook has been recommended and developed for university courses in Germany Austria and
Switzerland.
