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

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

Why Hotel Revenue Management Is Extremely Important Today

Focus on These Hotel Revenue Management KPIS to Increase Profitability

The Situation of Revenue Management in The Hotel Industry

Japanese Return to Travel: Strong Demand But Little For Europe

Top Hotel Revenue Management Strategies to Boost Revenue

How To Spot Dates Where Your Hotel Can Increase Rates

Travel Demand In The Mediterranean Slows Down

Greece on Course to Beat 2019 Travel Visitor Figures

UK & US Tourist: Everyone Wants Them, But Where Will They Go?

Tourism in Greece: Time to Think About the Low Season

Spanish Summer: When Will Foreign Tourists Travel?

Travel Demand in Western Europe Growing Again Despite The War

Value of Unified Decision Data for Revenue and Digital Marketing

Spain and the Ukraine Crisis: How Travel Demand Changes

COVID Recovery Strategy for Hotels: Lybra Assistant RMS + Hoteliga

Greece Showing Strong Summer Travel Demand

Will Spain’s Hopes for Strong Tourist Demand for 2022 Prove Possible?

Most Significant Cause for Decreasing Travel Demand in Europe

Long-Haul, Long-Term European Travel Trends: Will Travel Return Soon?!

Spanish Hotspots Experience Fluctuations in Travel Demand for Autumn

Travel Stalled: Greece and Turkey Lose Market Due to Seasonality

Drop in Searches For Destinations in Trentino, Decisive For Low Season

European Travel Unstable Due to Delta – Some Thriving & Others Collapsing
