Cloudbeds Integrates AI Revenue Management
Hospitality platform Cloudbeds has integrated Climber RMS, an AI-powered revenue management system, to serve independent hotels and regional chains. The partnership automates rate recommendations, demand forecasts, and inventory allocation. This allows multi-property operators to harmonize revenue strategy and optimize pricing across their portfolios in markets with high seasonality.
- The integration is a direct result of Revenue Analytics acquiring the Portugal-based Climber RMS in June 2025 to expand its AI-powered pricing tools to the independent and regional hotel market. - Climber RMS's technology moves beyond manual analysis by using AI to adjust room rates up to 24 times per day based on demand, competition, and other data signals. This allows properties to react to market changes in near real-time. - For hotel groups, the system is designed to eliminate the manual work and spreadsheets previously required to assess the value of group bookings, allowing for faster and more profitable decisions. - This type of AI-driven forecasting is particularly relevant for Caribbean resorts, which contend with high seasonality, long booking lead times, and a dependency on wholesale tour operators. The technology analyzes predictive indicators like flight searches and market trends, not just historical booking data. - The parent company, Revenue Analytics, has an extensive footprint in the hospitality sector, providing forecasting for 40% of hotels in North America daily through its enterprise-level platform, N2Pricing. - The integration creates a secure, two-way data connection where reservation and inventory data from Cloudbeds is used by Climber's AI to generate optimized pricing, which can then be automatically updated back into the Cloudbeds system. - The competitive landscape for this type of integrated solution includes other all-in-one platforms like Mews and Guesty, as well as specialized revenue intelligence tools such as OTA Insight and PriceLabs. - Studies on the impact of similar AI-powered revenue management systems have shown hotels can increase revenue by an average of 7.2% over those using traditional methods.
