
The Glam Hotel
A modern and elegant hotel in Vicenza
From Growth to Optimization: How an RMS Increased RevPAR by 26%
Challenge: The need to optimize rate management after expansion
- The hotel expanded its offering in 2023 and needed to effectively position the new product on the market.
- The need to seize dynamic pricing opportunities and monitor external variables (context, competitors, demand).
- Data-driven pricing decisions were complex and time-consuming without adequate tools.
- Finding a platform that would bring together all data sources and allow quick and intuitive reading for daily strategic decisions.
Solution: The adoption of Lybra Assistant RMS
- The choice was driven by positive word of mouth and the possibility of integrating Assintant with the hotel’s PMS.
- Autopilot was a decisive element: a tool capable of automatically updating and managing rates.
- Lybra simplified the analysis of the competitive context and local demand, offering a comprehensive and always up-to-date vision.
- Process automation reduced the daily operational load, improving efficiency in price management.
Results: Strongly increasing performance thanks to the use of Lybra
- +26% average increase in RevPAR in 2024 compared to 2023.
- +10% increase in ADR (average daily rate).
- Significant reduction in time spent analyzing and updating rates.
- Greater ability to adapt pricing strategies in real time, optimizing revenue and stimulating demand at key moments.
- 2025 goal: +25% increase in total revenue compared to the previous year.
Why did you decide to use an RMS? What factors drove this decision?
After the expansion of our hotel during 2023 we decided to rely on an RMS to be able to best position our new product and seize the occasions and opportunities of dynamic pricing, capable of monitoring contexts that would not normally be possible, in order to apply the best possible rate at that moment and consequently maximize revenue or stimulate demand depending on the needs of the moment.
Nowadays, making reasoned decisions on a daily basis based on historical, contextual and competitor data is essential. Therefore, it becomes essential to integrate, within a structure, a software that is able to aggregate this data and then analyze it in the most intuitive way possible.
Why did you choose Lybra Assistant? What was the feature of our RMS that you appreciated the most?
When I started looking for an RMS, an esteemed acquaintance of mine immediately mentioned Lybra. Consequently, I immediately had very few doubts.
The possibility of integrating the system with our PMS of the structure and above all of being able to access a tool like the autopilot – able to govern the rates autonomously – confirmed the goodness of the choice made.
How has Lybra Assistant changed the way you perform daily and strategic revenue management operations? What are the main benefits you have experienced in your work thanks to our RMS?
The main benefit of using Lybra Assistant is definitely being able to monitor our territory, competitors and opportunities constantly, which was previously extremely difficult to do. Today we save several hours of work thanks to the collection and organization of data that allow us to find daily, or even several times within the same day, essential data for us such as the best rate to apply to available rooms. All this also allows us to automate the variability of rates, thus optimizing earnings and avoiding having to necessarily fight for who has the lowest price.
What results have you achieved since working with Lybra Assistant RMS? (e.g., improvement in KPIs or revenue increase)
Thanks to the work done with Lybra Assistant, in 2024, compared to 2023, we managed to obtain an average increase in RevPar of 26% and in general an increase in ADR of 10%. The goal for the next period is to consolidate this result in order to increase the total revenue of the structure by a realistic 25% in 2025.
Could you share a short statement about your experience with Lybra Assistant RMS?
To date, Lybra is my best digital ally at work in the daily definition of prices, both short and long term.
Thanks to the autopilot, I am able to act even when I am not physically present. But above all, thanks to the possibility of observing and collecting data and opportunities at any time, I can modify the rates for each room category according to the needs of the moment, whether they are revenue optimization or demand stimulation.
Furthermore, the possibility of using the historical and future data of the structure, compared with the same contextualized period of the previous year, means that I can always keep an eye on the situation of the hotel in a short time, thus naturally saving a lot of time in interpreting the data. Lybra Assistant already does this for me, allowing me to make the best decisions for our accommodation facility.