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REVENUE MANAGEMENT
How Leerhotel Het Klooster boosted ADR by 10%
Leerhotel Het Klooster in Amersfoort is housed in a former monastery from 1952, where education and hospitality are intentionally brought together. As part of a major hospitality school, the hotel welcomes around 600 students each year who gain practical experience with real guests, guided by experienced professionals. Before using RoomPriceGenie, the hotel worked with three fixed price levels—high, mid, and low season. This kept things simple, but as the hotel expanded to more distribution channels (including their own website and Expedia), the limitations became clear. Manual adjustments took time, required constant attention, and created room for errors. Opportunities were being missed. As the team explored automated pricing solutions, they assumed most revenue systems would be too complex for their operation. After all, the environment is centered around learning, and the team wanted something clear and accessible. After reviewing several systems, including RevControl, RoomPriceGenie stood out immediately. It was simple, intuitive, and aligned with the way the hotel works. Implementation was fast and stress-free. The system linked smoothly to the PMS, onboarding felt personal, and the team quickly gained confidence in using it. While students do not work with RoomPriceGenie directly, the hotel incorporates the system into daily teaching moments. In morning meetings, students review key metrics like occupancy, ADR, and RevPAR, and the team explains the pricing logic behind the system. Its visual layout helps students grasp revenue concepts in a way that fits vocational education.
Move beyond fixed pricing: Evolve from three static seasonal rates toward dynamic pricing that adapts to demand, events, and real-time market changes.
Keep it understandable: Use a system intuitive enough for the operations team to manage daily and simple enough to explain to students during training moments.
Save time, reduce errors: Eliminate manual updates across multiple channels and minimize the risks tied to repetitive price changes.
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