REVENUE MANAGEMENT

Inn on the Alameda Maximizes Revenue with G3 RMS, Achieving 22x ROI

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Located just steps from the vibrant heart of downtown Santa Fe, the Inn on the Alameda offers guests a charming boutique experience with its 72 stylish rooms and access to the city’s attractions, fine dining, and festivities. The adoption of IDeaS G3 RMS has helped the Inn optimize its revenue strategies, improving operational efficiency and business performance.
Why it matters: Before adopting IDeaS G3 RMS, Inn on the Alameda used manual methods and fixed seasonal rates that varied little beyond weekends and special events. This approach left revenue opportunities untouched, as dynamic pricing was absent from their strategy. To maximize revenue potential, Director of Revenue Penpa Tsering evaluated multiple revenue management solutions before choosing IDeaS G3 RMS.
  • Despite making a significant leap forward in the sophistication and effectiveness of their approach to revenue management, Tsering shares that implementing G3 RMS has actually simplified the way they work. “IDeaS makes everything straightforward and easy to understand, from navigating the system to implementing effective strategies. With G3 RMS, it’s simple to access historical data and explore scenarios using features like ‘What If,’ allowing us to take calculated risks without any actual exposure,” shares Tsering.

Top 3 Core Objectives: Before implementing IDeaS G3 RMS, Inn on the Alameda aimed to move beyond manual, static pricing to a dynamic strategy that could better capture demand and increase revenue. Their objectives also included improving operational efficiency, gaining deeper data insights, and staying competitive in a growing market for long-term, sustainable growth.
  • Increase rate management efficiency: The Inn on the Alameda aimed to increase rate management efficiency by replacing time-consuming manual pricing with automated, dynamic tools. This would enable quicker, more accurate decision-making while freeing up time for strategic planning.

  • Ability to price dynamically: The goal was to enable dynamic pricing to respond swiftly to changes in demand and booking trends. This approach aimed to maximize revenue by ensuring optimal pricing at all times.

  • Data-driven decision making: The objective was to leverage data and analytics to guide pricing and inventory decisions more accurately. By using real-time and historical data, the aim was to improve forecasting and overall revenue strategy.

IDeaS

AI-powered hotel revenue management for smarter pricing and profit growth

Innovators Mentioned

Inn on the Alameda
IDeaS
PT
Penpa Tsering
The hotelier hasn't yet verified the case study.

Director of Revenue

Inn on the Alameda

"With G3 RMS, it’s simple to access historical data and explore scenarios using features like ‘What If,’ allowing us to take calculated risks without any actual exposure."

Penpa Tsering

Director of Revenue

👍 Director of Revenue Penpa Tsering said that Take calculated risks without any exposure.:
  • "With G3 RMS, it’s simple to access historical data and explore scenarios using features like ‘What If,’ allowing us to take calculated risks without any actual exposure."

⚖️ The selection process: During their research process, Penpa Tsering evaluated IDeaS's product differentiators, customer support, and holistic value as a strategic partner and ultimately decided that IDeaS was the best fit solution:
  • Director of Revenue Penpa Tsering said, about their decision: "IDeaS makes everything straightforward and easy to understand, from navigating the system to implementing effective strategies."

📈 The results: Since implementing G3 RMS, the property achieved record-breaking growth in ADR, RevPAR, and total revenue, including a 22x return on investment from 2023 to 2024. The system’s dynamic pricing and automation capabilities also contributed to a 6.52% increase in ADR and a 3.88% boost in RevPAR, strengthening long-term revenue performance.
  • 22x ROI on their annual subscription cost

  • ADR increase of 6.52%

  • RevPAR increase of 3.88%

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