Lybra
Biography
Lybra’s real-time, machine learning, demand-centric Assistant RMS is a sophisticated, flexible, module-based machine learning revenue management system, which will simplify and automate your property’s daily revenue management operations to boost occupancy, ADR and RevPAR – even in times of depressed demand, like the COVID-19 pandemic.
Pricing in Unprecedented Market Conditions:
The COVID-19 pandemic has changed revenue management forever. Future and historical data is no longer the most effective data to determine room rates because our current market conditions are completely unheard of in our lifetimes.
The best way to remain competitive in a depressed market is to use an RMS that uses the right data to provide the most accurate pricing suggestions – and that’s where Lybra’s Assistant RMS beats the rest.
Lybra’s Assistant RMS uses machine learning to effectively analyze all available Big Data – prioritizing market and competition data, instead of historical ¬– to more accurately determine a property’s demand and offer price suggestions that will help hotels get more bookings and increase revenue.
As a result of Lybra’s recent acquisition by The Zucchetti Group, Zucchetti’s global booking data – collected from the company’s hospitality subsidiaries – has been integrated into Lybra’s Assistant RMS; this integration gives the RMS access to an unparalleled amount of global market and demand data, maximizing the accuracy of the solution’s price suggestions, no matter how the pandemic affects market demand.
Use Big Data to Determine the Right Room Rate in Real-Time:
Lybra’s Assistant RMS has the ability to analyze data exponentially more quickly than a traditional RMS, making it possible to review forecasting data in real-time – a feat that humans can never hope to accomplish.
Even though other RMS companies advertise that their solution calculates room rates in real-time, in actuality, they don’t have the ability to collect and analyze data, and offer pricing suggestions, based on REAL market conditions.
Lybra’s Assistant is the only RMS that uses machine learning technology that is advanced enough to process Big Data in real-time, as the market changes, for all types and sizes of hotels.
Who Are We
Featured Articles

Partner Hotel Success Stories: Revenue and Booking Growth

Why Raising Prices in High-Demand Periods Isn’t Exploitation

Low Prices Guarantee High Hotel Occupancy: Myth Debunking

Revenue Management Is Only For Room Rates: Myth Debunking

True or False: Debunking Myths in Hotel Revenue Management

How AI Will Shape the Future Hotel Experience

10 Effective Strategies to Boost City Hotel Occupancy

The Value of Automated Pricing for Independent Hotels

Navigating Seasonal Dynamics: How an RMS Empowers Seasonal Hotels

Elevating Hotel Performance: The Impact of Dynamic Pricing on KPIs

Hotel Booking Psychology: Understanding the Guest Journey to Yes

The Bond Between Revenue Management and Sustainability

Revenue Management Systems: The Key to Unlocking Hotel Success

Branding Strategies to Transform Your Hotel into a Destination

10 Strategies to Skyrocket Profitability in City Hotels

Mastering Revenue Optimization for New Hotels

Transformative Power of Group Displacement in Hotel Revenue Management

Green Revenue Revolution: Intersection of Sustainability and Revenue Management

The Impact of an RMS on Enhancing Hotel Guest Experience

Hotel Direct Bookings vs. Hotel Bookings from OTAs

Hotel Pricing Strategies for Peak, Middle-Season, and Off-Peak

What Is Hotel Rate Parity and Why It Is Important

Offer Segmentation: How to Increase Revenue and Guest Satisfaction

Price Elasticity in the Hotel Industry: Affecting Factors and Tools

Why Effective Reputation Management Is Key To Increasing Hotel Revenue

Demand Forecasting in Revenue Management: Key Success Factors

Where Will The Chinese Travel Wave Break?

How Demand Forecasting Helps Increase Revenue and Develop Marketing Strategy?

How to Increase Your Hotel Average Daily Rate and Occupancy Rates
