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Will AI Replace Hotel Revenue Managers? The Million $$ Question
By offloading repetitive tasks to AI, revenue managers can focus on higher-value activities that require human expertise and critical thinking
10 Booking Trends and Stats to Drive Guest Experience and Revenue
Hotels have an incredible opportunity to exceed guest expectations and maximize revenue potential with the help of new-age tools and processes
Democratizing Data is First Step to Successful Revenue Performance
If you trust your data and tools, the barriers to empowering your your revenue managers to make data-driven decisions should naturally fade away
How to Handle an Eclectic Inventory and Complex Revenue Mix (Case Study)
With an eclectic inventory and a broad range of customer types, they needed revenue management technology that could handle a complex revenue mix
Unleash the Power of AI-First Business Intelligence and Analytics
In this era of endless digital progression, the ability to leverage AI and data is a game-changer. And hotel executives possess the power to change the game
The Next Paradigm Shift in Hospitality Revenue Management
Just because an RM system bears an AI moniker in its marketing doesn’t suddenly turn it into a revenue management silver bullet
7 Tips to Make a Winning Business Case for a New Hotel RMS
If your organization is currently using a legacy RMS system, it may not be able to handle the increasing complexity of today’s revenue management challenges
Driving Profitability with Precision: AI’s Pivotal Role in Revenue Management
The key to being successful in revenue management is following data trends closely to set the right price for the right guest, AI is perfectly suited to support this hotel function
Stop Using CompSets to Make Pricing Decisions
Those CompSets themselves are being driven by irrelevant factors like employee emotions and outdated RM systems that are not fit for purpose
How Hybrids & Hostels Can Rapidly Shift Inventory For Changes in Demand
Hybrids face unique challenges that include complexity of different inventory types in the same building but they also have particularly demanding customers