REVENUE MANAGEMENT

Why Two Very Different Hotels Reached the Same Outcome with Automated Revenue Management

Not yet verified This case study hasn't been verified by Imlauer Hotels yet
Case study header image
Two Salzburg hotels replaced manual pricing and complex tools with automated revenue management. By switching to happyhotel, both now make faster decisions, reduce daily workload, and see measurable performance improvements.
Why it matters: This case study shows how hotels with very different setups — from a large conference property to a family-run city hotel — can streamline revenue tasks and achieve better pricing outcomes through automation.
  • happyhotel automates daily pricing based on demand, occupancy, and market data. Both hotels use the Autopilot to replace manual rate checks, reduce meeting time, and adjust rates automatically throughout the day.

Top 3 Core Objectives: Both hotels wanted to reduce time spent on manual pricing, simplify their daily revenue workflow, and make more reliable rate decisions through automation.
  • Reduce manual work: Both hotels aimed to replace Excel sheets, manual rate checks, and weekly price planning with an automated system that updates prices without requiring daily input.

  • Improve pricing accuracy: They needed a tool that reacts to occupancy, demand, and market changes faster and more consistently than manual processes or static price matrices.

  • Streamline team workflow: The goal was to simplify revenue routines so teams could focus on operations, while still maintaining structure through weekly revenue meetings supported by better data.

happyhotel

Smart revenue management made simple for every hotel. Turn data into profit.

Innovators Mentioned

Imlauer Hotels
happyhotel
Daniela Eder
The hotelier hasn't yet verified the case study.

Rooms Operation Manager, Imlauer Hotel Pitter

Imlauer Hotels

JR
Johannes Rott
Hotel Tech Report reached out to Johannes Rott who verified this case study.

Hoteldirektor bei Hotel IMLAUER & Bräu Salzburg

Imlauer Hotels

"We previously worked with a price–performance matrix and later switched to HQ Revenue / Lighthouse before moving to happyhotel. We still hold a weekly revenue meeting, but the Autopilot now does most of the work for us — it saves me the most time by far."

Daniela Eder

Rooms Operation Manager, Imlauer Hotel Pitter

👍 Rooms Operation Manager, Imlauer Hotel Pitter Daniela Eder said that This hotel moved from manual matrices and Lighthouse to a fully automated workflow with happyhotel.:
  • "We previously worked with a price–performance matrix and later switched to HQ Revenue / Lighthouse before moving to happyhotel. We still hold a weekly revenue meeting, but the Autopilot now does most of the work for us — it saves me the most time by far."

⚖️ The selection process: During their research process, Johannes Rott evaluated happyhotel's product differentiators, customer support, and holistic value as a strategic partner and ultimately decided that happyhotel was the best fit solution:
  • Hoteldirektor bei Hotel IMLAUER & Bräu Salzburg Johannes Rott said, about their decision: "We carried out all analyses ourselves using Excel evaluations and a rate shopper. The Autopilot has been active from day one and has delivered excellent results for about two months now. Even though it’s still too early for a final assessment, our feeling points clearly to a 5–10% increase in revenue."

📈 The results: Both hotels saw immediate time savings through automated pricing and more consistent daily rate updates. Early performance indicators show stronger monthly results and a clear reduction in manual workload.
  • Significant time savings in daily pricing workflows Both hotels reduced manual rate checks and rely on the Autopilot to update prices automatically throughout the day.

  • Early revenue improvements One hotel estimates a 5–10% uplift after the first months, while the other reports multiple record months supported by automated pricing during a high-demand period.

  • More structured and reliable revenue decisions Weekly revenue meetings became more efficient, with better data insights and fewer manual analyses required.

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