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REVENUE MANAGEMENT
More efficient, flexible, and data-driven – Coffee Fellows Hotels relies on dynamic pricing with happyhotel.
Verified case study
Hotel Tech Report has reached out to hoteliers at Coffee Fellows Hotels to verify this case study.
As Coffee Fellows Hotels expanded, manual rate management quickly reached its limits. With happyhotel, the team found a way to automate and optimize pricing across 13 hotels using real-time data.
Why it matters:
By implementing happyhotel, Coffee Fellows Hotels gained full transparency over their daily performance and can react faster to changing demand. Even with limited staff, revenue management continues seamlessly.
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happyhotel is a revenue management platform that connects directly to the PMS and automates dynamic pricing based on occupancy, demand, and booking trends. Coffee Fellows Hotels uses it to save time, maintain consistency across properties, and make data-driven pricing decisions every day.
Top 3 Core Objectives:
Coffee Fellows Hotels wanted to streamline revenue management, react faster to market changes, and make data-driven pricing decisions across all properties.
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Automate pricing processes: Manual rate updates were time-consuming and limited scalability. The goal was to implement an automated system that adjusts prices dynamically based on demand and occupancy.
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Increase operational efficiency: With limited staff, the team needed a tool that saves time, ensures consistency, and keeps revenue management running smoothly—even during staff absences.
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Improve data transparency: Coffee Fellows Hotels aimed to gain better insights into booking behavior and performance metrics through clear reports and analytics to support daily decision-making.
happyhotel
Smart revenue management made simple for every hotel. Turn data into profit.
4.9
102 REVIEWS
Innovators Mentioned
Coffee Fellows Hotels
happyhotel
Ramona Wolters
Hotel Tech Report reached out to Ramona Wolters who verified this case study.
Head of Revenue & Sales, Coffee Fellows Hotels
Coffee Fellows Hotels
"We can definitely say that our daily work has improved significantly since using happyhotel. We almost fully trust the algorithm to adjust prices automatically, which saves us a lot of time. With the pick-up report and analytics, we now have much better insights into our business and numbers."
Ramona Wolters
Head of Revenue & Sales, Coffee Fellows Hotels
👍 Head of Revenue & Sales, Coffee Fellows Hotels
Ramona Wolters
said that automation and clear analytics have simplified daily revenue management and improved efficiency.:
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"We can definitely say that our daily work has improved significantly since using happyhotel. We almost fully trust the algorithm to adjust prices automatically, which saves us a lot of time. With the pick-up report and analytics, we now have much better insights into our business and numbers."
⚖️ The selection process:
During their research process, Ramona Wolters
evaluated happyhotel's product differentiators, customer support, and holistic value as a strategic partner and ultimately decided that happyhotel was the best fit solution:
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Head of Revenue & Sales, Coffee Fellows Hotels Ramona Wolters said, about their decision: "Apart from the system itself, the collaboration on equal footing and the partnership approach were decisive. Feedback is listened to and implemented whenever possible. I really value honest communication – that was one of the key factors for us."
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The results:
With happyhotel, Coffee Fellows Hotels optimized their pricing processes, improved team efficiency, and gained full visibility into performance across all 13 properties.
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Automated pricing adjustments Room rates are now updated dynamically based on demand, ensuring the hotels react instantly to market changes without manual input.
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Time savings and reliability Revenue management continues smoothly even when staff are unavailable, allowing the team to focus on strategy rather than daily rate updates.
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Improved data insights Daily pick-up reports and analytics provide a clear overview of performance and booking behavior, supporting better, data-driven decisions.
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