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Revenue Analytics & Cloudbeds Expand Partnership for Lodging Industry

by Robert Van Pash (Editor)
February 25, 2026
in Hotel Technology
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LODGING Staff

Revenue Analytics and Cloudbeds Announce Expanded Partnership — LODGING

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Revenue Analytics and Cloudbeds Expand Partnership to Deliver AI-Powered Revenue Management for Hotels

Revenue Analytics and Cloudbeds have announced an expanded strategic partnership that integrates Climber RMS, Revenue Analytics’ AI-enhanced revenue management solution, directly into the Cloudbeds Property Management System (PMS). This integration aims to deliver real-time, automated revenue optimization capabilities to independent hotels and regional chains worldwide.

Key Points

  • Organizations Involved:

    • Revenue Analytics (parent company of Climber RMS)
    • Cloudbeds (PMS provider)
  • Key People:

    • No specific individuals named in the article
  • Specific Locations:

    • Atlanta, Georgia (U.S.)
    • Lisbon, Portugal (mentioned in the article title)
  • Properties and Brands:

    • No specific hotel properties or brands mentioned in the article
  • Strategic Topics Discussed:

    • Integration of Climber RMS into Cloudbeds PMS
    • Real-time data synchronization between platforms
    • Automated, AI-driven revenue management
    • Optimized pricing and restriction recommendations
  • Named Solutions:

    • Climber RMS (AI-enhanced revenue management solution)
    • Cloudbeds Property Management System (PMS)
  • Market Context:

    • No specific industry reports, surveys, or external data sources cited in the article

The partnership aims to provide independent hotels and regional chains with advanced AI-driven revenue management capabilities, enabling them to optimize pricing, manage reservations, and maximize revenue potential. The integration allows for seamless data flow between Climber RMS and Cloudbeds, ensuring that rate, reservation, and inventory data are always up-to-date and accurately reflected in the revenue management system. This collaboration is expected to benefit hotels by improving operational efficiency and increasing profitability through data-driven decision-making.

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