Director of Sales

hotellab becomes a core strategic revenue partner rather than just a pricing tool. What truly differentiates Hotellab is the Autopilot functionality combined with its advanced market weighting logic. We don’t just receive generic dynamic pricing suggestions. We can define how much influence each competitor should have, adjust weighting per season, and even fine-tune strategy at listing level. In a destination like Santorini, where demand shifts dramatically between shoulder season, peak summer, and special event periods, this flexibility is critical.

The smart and easy-to-use program for hotel revenue and pricing. The HotelLab helps to improve the hotel occupancy results and budget, easy to work with the rate strategy. It helps to save time in analytics, it shows the occupancy forecast.

Easy-to-use software, intuitive and time-saving. The forecasting models are super close and accurate when following the AI-generated recommendations. There’s always someone who understands our goals and offers support, especially when we need to adjust to specific seasonal trends.

The setup was pretty easy, although I expected it to be more complicated. The training sessions were very clear, and after 3 weeks of fine-tuning and strategy setting, I started using autopilot. Working for the past 5 months with hotellab I can say that the system brought me value through business intelligence and forecasting, saving me 7-10 hours each week. At the same time, I have already seen an increase in ADR and occupancy.

The main insight is that it’s not just occupancy that matters, it’s revenue. You can’t always add rooms, but you can optimize pricing and product quality to increase revenue. By using hotellab, we could sell rooms at the right price, maintain quality, and maximize revenue without relying on sheer volume.”

Our strategic shift towards improving OTA partnerships and automating rates with hotellab RMS led to significant revenue growth and freed up time for other initiatives.

We started using hotellab RMS at PAME House in 2024 and quickly saw significant performance improvements, especially after switching to autopilot. Encouraged by this success, we expanded RMS to two more properties. We're confident in the continued success of using hotellab RMS, as it delivered an ROI of over 3000% at our first property.

Over the past few years, our revenue management approach has become much more strategic and data-driven. We realized that for years we were underselling our rooms during high season, which was limiting our overall revenue growth. My favorite use case with hotellab is definitely automating the entire pricing process (rate shopping, monitoring competitor strategies and prices, and adjusting accordingly). The amount of time saved every day, combined with the efficiency of hotellab’s solution, has been truly impressive for us.