ITB Rewind: How AI is Redefining Revenue Management and Strategy in Hospitality
Andrew Rubinacci, Chief Advisory Officer at FLYR Hospitality, believes AI will fundamentally change the role of revenue management in hospitality. While machine learning has long played a role in pricing optimization, AI's ability to process massive datasets in real-time will allow for deeper insights and faster decision-making. AI isn't just automating rate adjustments—it's reshaping the entire commercial strategy for hotels.
According to Rubinacci, revenue managers must shift from tactical pricing to strategic leadership. AI will handle the routine tasks, allowing revenue teams to focus on broader commercial goals—like deploying sales teams, optimizing marketing spend, and driving total revenue growth. In his view, manual rate adjustments should soon be a thing of the past. The future of revenue management isn"t about changing numbers on a screen—it's about leveraging AI to make data-driven, high-impact decisions that drive long-term success.