technology

The moment a hotel needs an AI agent to interact with a different system, the agent hits a wall that it was never designed to cross

Data access is not always as simple as expected. Timing is not always aligned with business needs. And costs are not always clear in advance.

An MCP is not a system of record. It eeceives structured requests, routes them to the correct system, and translates responses into AI-readable formats

AI in hospitality is not reserved for large chains. Small, independent hotels are using it to boost revenue and personalize guest experiences

Bringing together best in breed business intelligence and competitive rate intelligence, giving revenue managers something all-in-one platform rarely can

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

In an industry where speed, accuracy, and cross-team alignment can make or break revenue performance, “barely” is no longer good enough

What follows is a synthesis of the core data challenges that customers and prospects across the industry are actively working to resolve in 2026

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 question is not if AI will change hotel distribution. It’s who will control the conversation when it does. This is where MCP is exciting for hoteliers