How AI and Data Intelligence Are Reshaping Hotel Revenue Strategy

Key takeaways

• Revenue management is becoming commercial strategy. Hotels are breaking down silos, combining revenue management, marketing, and sales into a unified approach.
• AI will handle repetitive tasks, allowing revenue managers to focus on strategy. Automated pricing, data insights, and demand forecasting will take over the heavy lifting, leaving revenue managers to act as decision-makers rather than data analysts.
• Personalization will be the next major shift. AI will connect pricing, distribution, and guest experience, allowing hotels to offer dynamic packages tailored to individual preferences.
• The connected trip is still a work in progress. While AI-driven personalization is improving, the industry is still working toward a seamless, end-to-end travel experience.

Collier predicts that in five years, hotels that fail to embrace AI and data intelligence will struggle to compete. The future belongs to those who integrate automation, predictive analytics, and holistic commercial strategies.