rms
Leveraging AI for Dynamic Revenue Optimization
Dynamic revenue optimization is the practice of adjusting prices in real-time based on demand, market trends, and various other factors
Empowering Hotel Revenue Strategy Through AI and Causal ML
Should revenue managers interact heavily with an AI RMS or trust automation? What is the impact of overrides on revenue?
XLR8 RMS “Who Are We”: In Conversation with Natasha Pereira
Hear how XLR8 RMS leverages Artificial Intelligence to empower hoteliers with forecasting and price recommendation to business intelligence for revenue
Elevated Revenue Performance and Increased ADR: 5 Case Studies
5 case studies which can help hoteliers looking to optimize revenue, develop sophisticated pricing strategies and refine revenue management strategies
The Legacy RMS Needs to Evolve. Here’s What it Should Look Like
Your legacy RMS may have served you well in the past, but the old systems aren’t sophisticated enough to keep your hotel competitive
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
Meet Rhiannon: RMS Perspectives from Both Sides of the Fence
We thought it would be interesting, to get a perspective on the direction of travel for revenue management, and the part an RMS or pricing solution can play
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
Navigating Seasonal Dynamics: How an RMS Empowers Seasonal Hotels
Here is how RMS can specifically cater to these challenges, underscoring their importance in the strategic management of seasonal hotels
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
