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REVENUE MANAGEMENT
The Switch to Hotellistat's New Version
Verified case study
Hotel Tech Report has reached out to hoteliers at Haus im Tal to verify this case study.
The Haus im Tal is located in the heart of Munich and combines urban design with a cozy flair. The hotel, which opened in 2019, offers 50 stylishly furnished rooms and impresses its guests with a charming roof terrace. As co-founder of TheNew Group and an experienced hotelier, Konstantin Insperger has been using Hotellistat for years. He has now decided to switch to the latest AI-based solution as a result of a new revenue strategy.
Why it matters:
As part of the reorientation of its revenue strategy, the Haus im Tal is aiming to increase the average room rate (ADR). This objective required a flexible solution that adapts optimally to the dynamics of the Munich market.
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The switch to Hotellistat V2 promised not only more granular pricing, but also a significant increase in efficiency.
Top 3 Core Objectives:
Haus im Tal switched to Hotellistat's new version V2 to automate pricing and restriction management and use the time gained more efficiently.
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Automate Pricing and Restrictions: The hotel wanted to use our AI-based price recommendations for real-time optimization and complemented them with own, manual strategies to ensure optimal pricing decisions. In the next step, the team also wants to automate restriction management with Hotellistat.
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Increase ADR and Sales: Haus im Tal aimed to increase the average daily rate (ADR) by balancing occupancy and optimal rates to ensure long-term profit.
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Enhance Efficiency: Through automation, the team wanted to save time on manual labor and use their time at hand to further develop and fine-tune market positioning and pricing strategies.
Innovators Mentioned
Haus im Tal
Hotellistat GmbH
Konstantin Irnsperger
Hotel Tech Report reached out to Konstantin Irnsperger who verified this case study.
Co-founder of TheNew Group
Haus im Tal
"I am convinced that the quality of the price suggestions from Hotellistat's AI ARIS will lead to a significant increase in sales in the long term. Manually changing the pricing strategy would have cost me many hours, which I can now use for other purposes."
Konstantin Irnsperger
Co-founder of TheNew Group
👍 Co-founder of TheNew Group
Konstantin Irnsperger
said that Hotellistat's AI-driven price suggestions save time and drive long-term revenue growth.:
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"I am convinced that the quality of the price suggestions from Hotellistat's AI ARIS will lead to a significant increase in sales in the long term. Manually changing the pricing strategy would have cost me many hours, which I can now use for other purposes."
⚖️ The selection process:
During their research process, Konstantin Irnsperger
evaluated Hotellistat GmbH's product differentiators, customer support, and holistic value as a strategic partner and ultimately decided that Hotellistat GmbH was the best fit solution:
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Co-founder of TheNew Group Konstantin Irnsperger said, about their decision: "It is reassuring to know that we are always getting competent support when we have questions. My team and I would not want to do without two functions of the new version in particular, the new price recommendations from ARIS and the option of combining room categories into virtual groups. It makes managing restrictions and prices so much easier."
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The results:
The switch to Hotellistat V2 opened up completely new opportunities for Haus im Tal, ranging from more granular pricing and higher sales to enhanced competitiveness and significant efficiency increases.
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After closely monitoring our AI's price suggestions, Haus im Tal went live with fully automated pricing after just two weeks, benefitting from precise, hourly price updates ever since. Nevertheless, the team still has full control and the final say, as they can influence the AI price recommendation in line with their revenue strategy. Especially the option of combining room categories into virtual groups enabled an even faster and easier restriction management.
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Hotellistat ensures a balance between occupancy and optimal rates by using the AI ARIS to identify peak times early on and yield accordingly. Haus im Tal increased its ADR by +15,17€, while maintaining the same occupancy rate. Despite increased ADR, the hotel was able to attract a disproportionate number of Munich guests. Both the higher Management Response Rate of +64% and the Market Penetration Index of 105% confirm the success of strategy and implementation.
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The automations saved the team several hours of manual work each week, allowing the members to focus on strategic decision-making, positioning and pricing strategies.
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