Today, Revenue Management is a key practice in the air transport, tourism and hotel industries. Originally known as Yield Management, Revenue Management has gradually evolved into an integral revenue optimization strategy for businesses characterized by capacity constraints and fluctuating demand. Revenue Management in the Age of Artificial Intelligence explores, through numerous case studies and concrete examples, the principles, models and applications of Revenue Management, while addressing the ethical challenges and prospects offered by digital technology and artificial intelligence. This book is aimed at professionals, students, researchers and anyone wishing to understand the dynamics of price management in a constantly changing economic environment. It highlights the importance of transparency and fairness in maintaining consumer confidence, while demonstrating that Revenue Management is much more than a simple pricing technique: it is an essential strategic tool for many service companies.