data
Why Hotel AI Success Now Depends on Measurable Results
AI in hotels is entering a disciplined phase where deployment alone is no longer the goal. The focus has shifted to whether it produces operational impact
Bridging the Data and Strategy Gap in Revenue Management
The gap between a highly analytical Revenue Manager and commercially focused leadership is one of the largest hidden costs in modern hotels
How AI-Powered BI Is Transforming Hotel Revenue Management
In an industry where speed, accuracy, and cross-team alignment can make or break revenue performance, “barely” is no longer good enough
AI Won’t Save a Disorganized Hotel: Address the Data Quality Gap
To grow revenue and drive long-term profitability, we must stop treating data as a tech problem and start treating it as a commercial discipline
ITB 2026: Data Infrastructure Challenges Facing the Travel Industry
What follows is a synthesis of the core data challenges that customers and prospects across the industry are actively working to resolve in 2026
Successful Hotel CRM Adoption is About People, Not Tech
Hotels put so much effort into the Find and Book phases of the guest journey. Now it’s time to put the emphasis on the CRM in order to Grow
The Hidden Revenue in Your Existing Database
Hidden revenue in your existing database is not theoretical. It is measurable and scalable. Your database is a portfolio of future bookings waiting for you
How Revenue Managers Can Escape Excel Hell and Drive Profit
The reality is that your current system has built a business where perfecting departments in isolation is actively sabotaging your overall portfolio profit
How Sales Teams Turn Data into Profit with Decision Engines
Dashboards don’t fail sales leaders because there isn’t enough data but because they’re stuck explaining the past
When AI Books the Room, Who Owns the Guest Relationship?
If the conversation becomes the storefront, and the storefront shapes the shortlist, who ultimately owns the guest relationship?
