Cloudbeds Launches Native Hotel Revenue Management System
Cloudbeds RMS unites property performance, market demand, and automated distribution across its core hospitality platform.
The short answer
Cloudbeds has unveiled Cloudbeds RMS, an automated revenue management system built directly on its Signals data platform. The tool links real-time property metrics, market demand, dynamic rate execution, and guest marketing within a single native interface.
The short version
- Cloudbeds RMS combines market intelligence, predictive forecasts, and automated rate deployment within its core operating platform [[1], [2]].
- Signals unified data eliminates operational silos by evaluating reservations, booking pace, occupancy, length of stay, and channel mix together [[1], [2]].
- Autopilot handles routine pricing executions automatically while maintaining hotelier-defined rate ceilings, floors, and manual overrides [[1], [2]].
Cloudbeds has launched Cloudbeds RMS, a native hotel revenue management system designed to combine property performance data, competitor market intelligence, dynamic pricing recommendations, and automated rate execution inside a single operating platform. Built directly on the company's unified data foundation, Signals, the solution automates rate updates through its integrated PMS and channel manager [[1], [2]].
What technology powers the new Cloudbeds RMS platform?
Cloudbeds RMS is built directly on Signals, the company's unified data infrastructure [[1], [2]]. Rather than isolating pricing decisions within a separate software silo, the system continuously evaluates existing transactional and operational activity flowing across the lodging property [[1], [2]]. According to reporting by Lodging Magazine, this framework pulls together real-time metrics including active reservations, booking pace, property occupancy, length of stay, channel behavior, and time to arrival alongside broader market demand and competitor rates [1]. As detailed by eHotelier, this combined dataset provides contextual backing for both forward-looking demand forecasts and daily room rate recommendations [2].
How does Autopilot automate room pricing decisions?
Autopilot executes routine rate adjustments automatically while operating within pricing boundaries, limits, and strategic exceptions established by the hotel team [[1], [2]]. Hotel operators do not surrender strategic oversight to the algorithm; staff retain the authority to intervene and adjust figures manually whenever circumstances require [[1], [2]]. The software eliminates manual updates for standard fluctuations, enabling lodging businesses to react immediately to shifts in pace or competitor activity without requiring hours of manual data entry [1].
How does native PMS integration speed up rate distribution?
Because Cloudbeds RMS is built natively into the core Cloudbeds software suite, accepted and automated rate changes transmit directly across the Cloudbeds property management system (PMS) and channel manager without external sync delays [[1], [2]]. Lodging Magazine noted that this design shortens the path from insight to action by reducing the intermediate handoffs usually needed between pinpointing a pricing opportunity and publishing that rate to distribution channels [1]. Independent properties avoid multi-vendor API friction and latency issues that often complicate third-party revenue management setups [[1], [2]].
| Capability | System Function | Operational Workflow |
|---|---|---|
| Data Collection | Signals Unified Data | Aggregates reservations, booking pace, occupancy, length of stay, competitor rates, and market demand [[1], [2]] |
| Pricing Automation | Autopilot | Executes routine rate adjustments within property-set boundaries while permitting manual staff overrides [[1], [2]] |
| Distribution Delivery | Native PMS & Channel Manager | Publishes accepted rate changes instantly across booking channels with zero external sync steps [[1], [2]] |
| Demand Generation | Cloudbeds Guest Marketing | Applies forecast and occupancy insights to trigger targeted promotional campaigns during soft periods [[1], [2]] |
How does the revenue tool connect with guest marketing?
Forecast and occupancy data generated within the RMS directly inform promotional outreach via Cloudbeds Guest Marketing during softer travel periods [[1], [2]]. When predictive forecasting signals impending dips in occupancy, operators can activate targeted guest campaigns rather than relying solely on last-minute rate cuts [[1], [2]]. According to eHotelier, this native connection between pricing insights and marketing execution allows lodging operators to respond to softer booking periods through multiple coordinated levers across their operation [2].
Why is Cloudbeds targeting independent hotel operators with this tool?
Cloudbeds developed the native system to remove the requirement for large in-house analytical departments or unwieldy software stacks to execute sophisticated revenue strategies [[1], [2]]. As reported in Lodging Magazine, Jason Richards, chief business officer of Cloudbeds, explained that hoteliers should not need complex tech stacks or large teams to make advanced revenue moves [1]. Richards stated that the system brings the intelligence behind those decisions into everyday operations, helping staff understand demand changes, take fast action, and retain control of pricing strategy [[1], [2]].
Reported by
This article was written from the following reporting. Follow the links for the original coverage.
- [1]Cloudbeds Launches Native Hotel Revenue Management System— Lodging Magazine
- [2]Cloudbeds Launches Unified Revenue Management System— eHotelier
Frequently asked
+What is Cloudbeds RMS?
Cloudbeds RMS is a native hotel revenue management system combining real-time property performance data, competitor market intelligence, pricing recommendations, and automated rate execution inside the Cloudbeds hospitality platform [[1], [2]].
+What data does the Signals platform evaluate?
Signals evaluates internal metrics including active reservations, booking pace, occupancy, length of stay, channel behavior, and time to arrival, analyzing them alongside external competitor rates and broader market demand [[1], [2]].
+How does the Autopilot feature function?
Autopilot automatically executes routine room rate changes based on property performance data, working strictly within user-defined pricing limits, operational rules, and strategic boundaries while permitting manual staff intervention [[1], [2]].
+How does rate distribution occur across channels?
Because Cloudbeds RMS is built natively into the platform, approved or automated price changes push directly through the Cloudbeds property management system and channel manager to external channels without third-party connector steps [[1], [2]].
+Can Cloudbeds RMS trigger marketing campaigns during low demand?
Yes. Forecast and occupancy data from Cloudbeds RMS can inform targeted promotional campaigns deployed via Cloudbeds Guest Marketing to stimulate demand during projected soft booking windows [[1], [2]].
Keep reading
Our reporting
More in technology