Artificial Intelligence

AI can make revenue management work leaner and more precise, but without the right prompt, results are mediocre at best or, at worse, harmful

AI doesn’t reward those who publish the most structured data. It rewards the brands whose data reflects real-world trust, consistency and performance

Not only will MCP bring hotels greater visibility on AI tools, it primes them for the next phase of AI rollout: agentic AI

The problem is not that ChatGPT is “bad at revenue management.” The problem is that it does not actually do revenue management at all

How does your hotel produce or revise its content to ensure it’s best structured for visibility in AI search engines?

We are entering an era where the Revenue Manager is no longer the person who updates the system, but the one who orchestrates the commercial strategy

There’s an alarmingly broad spectrum across the hotel industry when it comes to technology uptake, and AI is the newest entity to find its place

AI is not the whole answer, simply a new ingredient.
Useful, powerful, sometimes brilliant, yet only ever as good as the humans guiding it

What we’re seeing is a classic behavior shift. Travelers don’t abandon familiar planning routines until they experience something meaningfully better

When AI is embedded natively into how a hotel sells itself, distribution becomes a revenue multiplier, not a tech expense