Revenue Analytics and Cloudbeds Expand Strategic Partnership to Climber RMS
Delivering Seamless, AI-Powered Revenue Management to Independent Hotels and Regional Chains
Climber RMS, Revenue Analytics’ AI-enhanced revenue management solution for boutique, independent, and regional hotel chains, today announced an expanded integration with Cloudbeds, the intelligent unified platform powering hotel growth worldwide. This capabilities-first integration brings advanced pricing automation and real-time market intelligence directly into the Cloudbeds platform through Climber RMS, expanding choices for hoteliers seeking smarter revenue optimization tools.
Following Revenue Analytics’ infusion of advanced AI into the Climber RMS platform, the expanded integration enables hotels using Cloudbeds Property Management System to harness Climber’s automated pricing recommendations, deep market insights, and continuous learning capabilities — all powered by next-generation AI.
“Cloudbeds customers now have seamless access to Climber’s AI-driven revenue management workflows directly through their PMS,” said Mário Mouraz, SVP LATAM of Revenue Analytics. “This integration represents a powerful step forward in democratizing AI pricing intelligence — empowering independent, regional, and multi-property hotel teams to respond in real time to demand shifts, automate rate decisions, and unlock new revenue potential with less manual effort.”
“The demand for advanced revenue management capabilities across the hospitality industry has grown swiftly, and revenue teams need solutions that combine analytical depth with operational simplicity,” said Sebastien Leitner, VP of Partnerships. "By integrating Climber RMS into Cloudbeds, we’re ensuring our customers can apply sophisticated pricing methodologies directly within their existing workflows. The result is smarter decisions from day one without added complexity”
A Seamless, AI-First Revenue Experience
This integration delivers a secure, two-way connection in which Climber RMS pulls rate, reservation, and inventory data from Cloudbeds and applies advanced pricing models to generate optimized rate and restriction recommendations. Hotel teams can choose to automate pricing actions or apply strategic control via Climber’s intuitive decision interface, reducing spreadsheets and enabling faster, more profitable outcomes.
Key benefits include:
Fast Onboarding: Quick, secure connection with minimal implementation effort.
AI-Enhanced Pricing: Continuous, market-aware rate and restriction recommendations tailored to property strategy.
Automated Workflows: Choice to trigger dynamic pricing updates automatically or manage via Climber dashboards.
Rapid Value Realization: Most properties generate measurable incremental revenue within weeks of launch.
Showcasing Innovation at BTL 2026
Revenue Analytics and Cloudbeds will be showcasing the expanded Climber integration and new AI pricing capabilities at BTL 2026. At the event, hoteliers can consult with product experts and experience live demonstrations of how AI-first revenue management is transforming operational workflows and profit performance. BTL attendees are invited to stop by booth 3E28 to see Climber and Cloudbeds in action and explore tailored deployment options.
About Revenue Analytics:
Revenue Analytics transforms complex data into a competitive advantage. As a leaderin AI-powered revenue and margin optimization, its innovative solutions help businesses boost profits and drive sales performance through actionable insights and predictive analytics.
Part of the Revenue Analytics product suite, Climber RMS is a cloud-based revenue management system helping boutique, independent, and regional hotel chains across Europe and Latin America maximize profitability. Its intelligent, automated platform replaces manual analysis with actionable pricing recommendations, enabling hoteliers to focus on what they do best — delivering exceptional guest experiences.Revenue Analytics empowers smarter pricing decisions that drive bigger profits.
Learn more at www.revenueanalytics.ai and www.climberrms.com