technology
AI Hotel Revenue Management: Without Losing the Human Touch
To help you find that balance between the human touch and AI in hotel revenue management, we’ve broken it down into three steps
Smarter Revenue Tools Mean Stronger Marketing and Big Wins
It’s no wonder 38% of operators say revenue management is too time-consuming, and 36% admit they’re uncertain about optimal pricing
The Hotel Industry is Most Commercially Unleveraged Sector
In a world where every other major consumer sector has figured out how to monetize attention, the hotel sector is still largely selling rooms like 1999
Real Time Price Optimization: A Revenue Manager’s Success Tool
Of course, not every scenario will be the same. However, without real-time price optimization, you could be leaving revenue on the table
The Pricing Trap: How Independent Hotels Are Breaking Free
More than half of property owners surveyed are still relying on manual pricing. It is no wonder the fear of losing bookings is the top challenge they face
Stop Building Hotel Tech. Focus on Your Guests to Drive Profit.
Integrating diverse hotel systems with unique data structures is more complex than expected; requirements change and costs escalate quickly
Why Revenue Management Still Fails (Even With the Best Tools)
Until leadership not only understands the revenue problem but agrees it’s the hotel’s problem, no tool, strategy, or pricing model will move the needle
From Jack of All Trades to Master of Hotel Direct Bookings
Hotels must focus on refining their strategy for direct bookings with specialized tools that align with the needs of today’s travelers

Expert Partner Hotel Success Stories – April 2025
Here is the April round up of 11 Hotel Success Stories and a performance study of 567 properties from our Expert Partners

Expert Partner Hotel Tech Updates – April 2025
Here is the April round up of awards, acquisitions, product launches and strategic partnerships for 3 of our Hotel Technology Expert Partners. Aggregate Intelligence, The Hotels Network, SiteMinder and Cloudbeds […]