Leveraging Data Integration for Effective Revenue Management

Abstract In this study, we seamlessly integrate micro-level data from both internal and external sources to revolutionize last-minute occupancy forecasting across the advance booking horizon. By utilizing a sophisticated beta regression framework coupled with a robust variable selection methodology, we highlight the importance of feature engineering raw data. This approach delivers actionable insights that drive revenue optimization and elevate performance in the hospitality sector.