Artificial Intelligence

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

It is unwise for hotels to rely solely on hotel guest personas. The way forward is interaction informed data and understand why guests make decisions

Forecasting, excel modelling, pattern detection, scenario simulation. These were once the differentiators that defined revenue and commercial leadership

The role of the website as an interface will be threatened as it faces increasing competition from conversational channels that operate outside a browser

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

Successful pricing strategies should be based not only on data, but also on a deep understanding of human decision-making psychology

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

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

The future contest is not over where bookings are processed. It is whether the hotel is specified before the agents begin to optimize the path

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