Κλάδος δραστηριότητας: Hotel Technology / Revenue Management Solutions
Ιστοσελίδα: https://hotellab.io/
Facebook page: https://www.facebook.com/hotellab.io
Instagram: https://www.instagram.com/hotellab.io
hotellab is an all-in-one revenue management platform that helps hotels increase revenue by up to 45% through data-informed decisions across forecasting, pricing, and availability management.
Behind each recommendation, hotellab’s AI analyzes more than 100 factors for every room category several times a day. It connects booking pace and occupancy with competitor prices, seasonality, local events, and Skyscanner flight-search data, turning hotel and market signals into forecasts, price recommendations, and performance insights.
AI Price Reasoning makes the logic behind each recommendation visible. It shows what is driving a suggested price, from changing demand and competitor rates to booking pace and the hotel’s own settings. Hoteliers see the reason, not just the number, so they can accept the recommendation, adjust it, or choose a different approach with confidence.
AI Demand Reasoning brings the wider destination into view. It shows hoteliers in Greece where demand is building or easing, which source markets are driving the change, and how local events may be affecting travel interest. Teams can spot these early signals before they appear in their own bookings and make timely decisions about prices and availability.
The AI Assistant lets hoteliers ask questions in plain language about revenue management, hotellab, or their own hotel data. They can ask why a price was recommended or which segments are driving next weekend’s pickup, and get a clear answer without digging through reports or complex screens.
Daily AI reports highlight important changes and recommended actions. Monthly reports summarize performance and suggest priorities for the period ahead.
Together, these tools gather, connect, and explain data, giving hoteliers more time to focus on decisions and strategy. They remain in control: they can review or adjust recommendations, or choose Autopilot to apply prices according to their settings.
Our contribution extends beyond our clients. This year, hotellab published two Greek hotel market reports, available to everyone on the SETE website. In October, we will publish an overview of how hotels across Greek destinations performed during the 2026 high season.
We also invest in education. Our Pricing Simulator gives students hands-on revenue management practice using real hotel data. It has been used in two national training programs with INSETE, SETE’s educational division, and in training at Swiss Alpine Center in Greece and The Apex, a spin-off of Aristotle University of Thessaloniki.
Active in 19 countries, hotellab has its strongest market in Greece, where it is the most widely adopted revenue management platform. HotelTechReport has recognized hotellab as a Top RMS, based on verified hotelier reviews.
hotellab deserves to be recognized as Best Hotel AI Supplier because it combines advanced technology with transparency, practical tools, and a strong commitment to the Greek hospitality industry. It helps hotels make better decisions, saves teams time, and keeps hoteliers in control of their strategy.
Behind each recommendation, hotellab’s AI analyzes more than 100 factors for every room category several times a day. It connects booking pace and occupancy with competitor prices, seasonality, local events, and Skyscanner flight-search data, turning hotel and market signals into forecasts, price recommendations, and performance insights.
AI Price Reasoning makes the logic behind each recommendation visible. It shows what is driving a suggested price, from changing demand and competitor rates to booking pace and the hotel’s own settings. Hoteliers see the reason, not just the number, so they can accept the recommendation, adjust it, or choose a different approach with confidence.
AI Demand Reasoning brings the wider destination into view. It shows hoteliers in Greece where demand is building or easing, which source markets are driving the change, and how local events may be affecting travel interest. Teams can spot these early signals before they appear in their own bookings and make timely decisions about prices and availability.
The AI Assistant lets hoteliers ask questions in plain language about revenue management, hotellab, or their own hotel data. They can ask why a price was recommended or which segments are driving next weekend’s pickup, and get a clear answer without digging through reports or complex screens.
Daily AI reports highlight important changes and recommended actions. Monthly reports summarize performance and suggest priorities for the period ahead.
Together, these tools gather, connect, and explain data, giving hoteliers more time to focus on decisions and strategy. They remain in control: they can review or adjust recommendations, or choose Autopilot to apply prices according to their settings.
Our contribution extends beyond our clients. This year, hotellab published two Greek hotel market reports, available to everyone on the SETE website. In October, we will publish an overview of how hotels across Greek destinations performed during the 2026 high season.
We also invest in education. Our Pricing Simulator gives students hands-on revenue management practice using real hotel data. It has been used in two national training programs with INSETE, SETE’s educational division, and in training at Swiss Alpine Center in Greece and The Apex, a spin-off of Aristotle University of Thessaloniki.
Active in 19 countries, hotellab has its strongest market in Greece, where it is the most widely adopted revenue management platform. HotelTechReport has recognized hotellab as a Top RMS, based on verified hotelier reviews.
hotellab deserves to be recognized as Best Hotel AI Supplier because it combines advanced technology with transparency, practical tools, and a strong commitment to the Greek hospitality industry. It helps hotels make better decisions, saves teams time, and keeps hoteliers in control of their strategy.
