Hotels

We often see this pattern emerge. Hotels wait until late September, or even October, to think seriously about autumn and winter booking performance

The ChatGPT decision to step back from in-platform transactions is creating new opportunities for hotels seeking to leverage AI for direct bookings

AI does not have to become another OTA to create the same structural dependency. It only has to become the place where traveler preference forms

The more hotels you add, the harder it becomes to apply the same pricing strategy consistently across the portfolio. Decisions happen at different times

Most hoteliers running spreadsheets already know that something should change. The harder question is knowing when the situation has become critical

When the agent recommends a rate move, who decides if the recommendation is right, given that nobody agreed on the underlying forecast initially?

When AI agents aren’t controlled, they represent a new scale of risk for your property; they have systematized using your plain-text credentials

Revenue and Marketing had not had a conversation about when to reach new domestic travelers relative to forward occupancy and rate strategy

Non-room revenue is becoming a critical growth lever, particularly as hotels look to offset rising operational costs and fluctuating demand

Here is the round up of Hotel Success Stories from our Expert Partners during March and April 2026