REVENUE MANAGEMENT

Operational success for Hotel Madeira

Verified case study Hotel Tech Report has reached out to hoteliers at Hotel Madeira to verify this case study.
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Discover how this hotel leveraged our revenue management system (RMS) to optimize their pricing strategy, enhance segmentation, and streamline their operations, positioning themselves for significant growth.
Why it matters: Hotel Madeira was facing challenges with their manual processes, from tracking performance on spreadsheets to reacting slowly to market changes. The team struggled with streamlining price adjustments, automating decision-making for pricing and inventory, and accessing robust analytics to monitor and verify revenue performance.
  • The need for a more agile, data-informed solution became clear, and after extensive research on Hotel Tech Report, Duetto emerged as the ideal solution to guide them through this transformation, integrating seamlessly with their existing property management system (PMS).

Top 3 Core Objectives: Hotel Madeira sought a revenue management system (RMS) to modernize their revenue strategy, automate manual workflows, and leverage data-driven insights to improve operational efficiency and maximize profitability.
  • Streamline pricing adjustments: Hotel Madeira aimed to replace time-consuming manual processes with dynamic rate changes that respond quickly to market shifts and demand fluctuations.

  • Enhance revenue analytics: The property wanted to gain deeper insights into revenue performance through a robust platform for monitoring PMS data, ensuring accurate analysis, and improving decision-making capabilities.

  • Automate decision-making: Hotel Madeira was aiming to implement advanced automation for pricing, inventory, and segmentation strategies, to improve efficiency and optimize revenue across all customer segments.

Duetto

Cloud-based revenue management solutions without limits

Innovators Mentioned

Hotel Madeira
Duetto
GG
Gleb Gorbachev
Hotel Tech Report reached out to Gleb Gorbachev who verified this case study.

IT Administrator

Hotel Madeira

"We’ve seen a significant shift towards data-driven decision-making and have already experienced a noticeable improvement in our revenue performance, with more efficient workflows and enhanced transparency."

Gleb Gorbachev

IT Administrator

👍 IT Administrator Gleb Gorbachev said that Hotel Madeira is realizing the benefits of our advanced pricing and segmentation tools, resulting in stronger operational efficiency and profitability.:
  • "We’ve seen a significant shift towards data-driven decision-making and have already experienced a noticeable improvement in our revenue performance, with more efficient workflows and enhanced transparency."

⚖️ The selection process: During their research process, Gleb Gorbachev also researched Lighthouse, Atomize, RoomPriceGenie, and ultimately decided Duetto was the best fit for them.
  • IT Administrator Gleb Gorbachev said, about their decision: "Duetto stood out as the most comprehensive and advanced RMS solution, seamlessly integrating with our existing systems and providing the tools we needed to optimize our pricing strategy and enhance operational efficiency."

📈 The results: Since implementing our solution, Hotel Madeira has made significant strides in optimizing their revenue management approach and improving their operations. While still in the early stages of adoption, the platform has already delivered measurable benefits in key areas.
  • Dynamic pricing agility: Hotel Madeira has adopted an Open Pricing model, allowing real-time rate adjustments based on market demand. This ensures competitiveness and maximizes revenue potential during high-demand periods.

  • Enhanced segmentation control: The hotel is now analyzing and targeting customer segments with greater precision, optimizing revenue streams, improving commission management, and boosting overall profitability.

  • Streamlined workflows and operational efficiency: Automated processes and enhanced data visibility have made tasks like calculating room and segment dependency pricing more transparent and efficient, saving time and leading to more data-driven decision-making.

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