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Międzyzdroje Guesthouses

Four family-run guesthouses located in the heart of Międzyzdroje, welcoming Polish, German, and Czech guests. With the implementation of KWHotel, the AI Booking Engine, and Price Recommender, the property streamlined front desk operations, automated 60% of guest service processes, and reduced the time spent on pricing management from 12 hours a day to just 1–2 hours per week.

Międzyzdroje Guesthouses

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How four guesthouses in Międzyzdroje implemented automation and reduced pricing management time from 12 hours a day to just 1 hour per week

Challenge

The brand in Międzyzdroje consists of four guesthouses, each accommodating approximately 40–50 guests. The properties mainly welcome families of 2–4 people as well as business travelers, primarily from Poland, Germany, and the Czech Republic. Międzyzdroje is one of the most popular seaside resorts in the country, with occupancy exceeding 100% during peak season.

However, the staff faced a significant operational workload. One reception desk managed all four buildings, while manual pricing adjustments consumed up to 12 hours per day during the high season — 4 hours in the morning, 4 hours in the evening, and 4 hours dedicated to data analysis. The owner had to constantly monitor weather conditions, competitor rates, occupancy levels, and shifting sales targets.

In addition, the property needed a stable system that would minimize the risk of overbooking and enable secure management of all four buildings from a single platform.

Solution

The Międzyzdroje guesthouses implemented the full KWHotel ecosystem: PMS, integration with channel managers (including GuestSage), online payments, AI Booking Engine, and guest service automation tools such as door access codes, remote payment settlements, and an online reception panel. Today, more than 60% of guests can check in and pay for their stay without any staff involvement.

The owner also began working with Price Recommender AI, which managed pricing for three properties from late April to June 2025. The tool delivered an optimization level comparable to an experienced revenue manager while reducing the time needed for analysis from 12 hours per day to just 1 hour per week.

The KWHotel system also eliminated the risk of double bookings. Over the past eight years, the property has not experienced a single overbooking caused by the hotel software.

“Ten years ago, I needed 12 hours a day to analyze and adjust prices. Today, I do it once — at most twice — a week, and practically all the work is handled by Price Recommender.”

Mariusz Szewczuk, Międzyzdroje Guesthouses

Results

The implementation of KWHotel and Price Recommender delivered measurable time savings and improved operational efficiency for the guesthouses. Process automation now allows 60% of guests to be handled entirely remotely, and the reception team no longer spends time on repetitive tasks related to check-ins, access codes, payments, and pre-arrival communication.

Price Recommender AI proved particularly effective in Property No. 3, where revenue increased by +40% between January and April 2025, followed by a +18.7% year-over-year growth in May and June. The owner emphasizes that the tool operates at a level comparable to a professional revenue manager — while delivering significant time savings.

The full implementation of KWHotel and GuestSage also ensured complete control over reservations. The property has not recorded a single overbooking in over eight years. A stable system, automation, and intelligently applied AI have enabled the owner to focus on business development rather than daily operational firefighting.

Key results

Zero overbookings for 8 years
60%
of stays automated
90%
less time spent on pricing

GuestSage

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