AI-Powered Smart Revenue Management in Hospitality
Chirra Baburao, Sakha Gangadhara Rama Rao, Mohammad Badruddoza Talukder, Paluri Sheela, Fatima Zahra Ouariach · 2025
This chapter examines the transformative influence of artificial intelligence on revenue management and yield optimization within the hospitality industry. It provides a comprehensive analysis of AI-driven techniques—including advanced machine learning algorithms, predictive analytics, and IoT integrations—that enable dynamic pricing, demand forecasting, and optimized inventory control. Drawing upon an extensive bibliometric review and thematic synthesis of literature spanning several decades, the chapter critically addresses both the operational benefits and the multifaceted challenges, such as technological integration, organizational restructuring, and ethical considerations, that shape the adoption of AI systems. Additionally, it explores innovative applications designed to enhance guest experiences and secure sustainable competitive advantages, while delineating a robust strategic framework that underscores future advancements in the rapidly evolving hospitality sector.