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.
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