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.

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Featured Articles

sign post saying fact or myth reflecting points to be debunked in hotel revenue management
True or False: Debunking Myths in Hotel Revenue Management
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How AI Will Shape the Future Hotel Experience
neon hotel sign saying no vacancy reflecting the importance of developing effective strategies to boost city hotel occupancy
10 Effective Strategies to Boost City Hotel Occupancy
youtube thumbnail image for discussion with aggregate intelligence atomize and lybra about the value of automated pricing for independent hotels
The Value of Automated Pricing for Independent Hotels
hedges in shapes of houses with leaves changing colours reflecting the pressure on seasonal hotels to adopt sophisticated revenue management strategies
Navigating Seasonal Dynamics: How an RMS Empowers Seasonal Hotels
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Elevating Hotel Performance: The Impact of Dynamic Pricing on KPIs
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Hotel Booking Psychology: Understanding the Guest Journey to Yes
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The Bond Between Revenue Management and Sustainability
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Revenue Management Systems: The Key to Unlocking Hotel Success
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Branding Strategies to Transform Your Hotel into a Destination
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10 Strategies to Skyrocket Profitability in City Hotels
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Mastering Revenue Optimization for New Hotels
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Transformative Power of Group Displacement in Hotel Revenue Management
coins being added to a glass jar with the shoot of a plant growing from the top reflecting how cost based pricing ensures if hotels sell their rooms then that are guaranteed to make a profit
Green Revenue Revolution: Intersection of Sustainability and Revenue Management
guest interacting with front desk reflecting increasing demands hotels must respond to
The Impact of an RMS on Enhancing Hotel Guest Experience
person on a laptop making a hotel bookings either via otas or direct on the hotel website
Hotel Direct Bookings vs. Hotel Bookings from OTAs
hedges in shapes of houses with leaves changing colours reflecting the pressure on seasonal hotels to adopt sophisticated revenue management strategies
Hotel Pricing Strategies for Peak, Middle-Season, and Off-Peak
graphs which could reflect different pricing amongst competitor hotels and why hotel rate parity is so important
What Is Hotel Rate Parity and Why It Is Important
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Offer Segmentation: How to Increase Revenue and Guest Satisfaction
rocks balanced on each other reflecting the end of ota rate parity
Price Elasticity in the Hotel Industry: Affecting Factors and Tools
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Why Effective Reputation Management Is Key To Increasing Hotel Revenue
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Demand Forecasting in Revenue Management: Key Success Factors
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Where Will The Chinese Travel Wave Break?
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How Demand Forecasting Helps Increase Revenue and Develop Marketing Strategy?
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How to Increase Your Hotel Average Daily Rate and Occupancy Rates
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Why Hotel Revenue Management Is Extremely Important Today
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Focus on These Hotel Revenue Management KPIS to Increase Profitability
lightbulb with image of a brain inside reflecting the possible need for hoteliers to overhaul the definition of revenue management
The Situation of Revenue Management in The Hotel Industry
The Japanese return to travel: strong demand for travel but little for Europe lybra article image
Japanese Return to Travel: Strong Demand But Little For Europe
building blocks reflecting the importance for hotels to fully understand how to generate profitable revenue
Top Hotel Revenue Management Strategies to Boost Revenue
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