In the rapidly evolving landscape of hospitality revenue management, artificial intelligence (AI) has emerged not just as a tool, but as a potential co-pilot. Where it started out as handling complex data analysis, forecasting, and giving recommendations for the decision-making process, it soon moved to automation and finally contextualization.
As AI technology advances, the hospitality industry must consider how to best integrate these tools with human expertise to enhance both operational efficiency and guest satisfaction. The question is: will such an AI-powered RMS become a collaborator or a displacer of human revenue managers?
