Cloudbeds + Climber RMS: AI Pricing and Market Intelligence for Independent Hotels and Regional Chains
2.25.2026
Cloudbeds has expanded its integration with Climber RMS from Revenue Analytics, bringing AI-driven pricing automation and real-time market insights directly into the Cloudbeds Property Management System (PMS). For management teams, this means price decisions can move from manual updates and spreadsheets to data-backed recommendations that learn and adapt over time.
The integration connects property data in Cloudbeds with Climber's pricing engine, giving teams a clear path to faster decisions and tighter control of revenue strategy-without adding another disconnected workflow.
How the integration works
The connection is two-way and secure. Climber RMS pulls rate, reservation, and inventory data from Cloudbeds, applies pricing models, and returns rate and restriction recommendations aligned to property strategy.
Teams can automate pricing actions or review and approve them in Climber's decision interface. Either way, you reduce repetitive work and respond to demand shifts with less lag.
Key benefits
- Fast onboarding: Quick, secure connection with minimal implementation effort.
- AI-enhanced pricing: Continuous, market-aware rate and restriction recommendations tailored to your strategy.
- Automated workflows: Trigger dynamic updates automatically or manage them via Climber dashboards.
- Rapid value: Many properties see measurable incremental revenue within weeks of launch.
What management should expect
Set guardrails, not guesses. Define floors, ceilings, segmentation rules, and approval thresholds up front so automation works within your commercial strategy.
Align KPIs early. Track RevPAR, ADR, pickup by segment, forecast accuracy, and pace variance pre- and post-launch. Make weekly adjustments based on evidence, not opinion.
Decide your operating mode. Start with supervised recommendations if the team is new to AI pricing, then move specific segments or dates to full automation as confidence grows.
Tighten the feedback loop. Use competitor moves, event calendars, and lead times to refine rules. The system learns continuously; your policies should, too.
Operational impact
- Less manual work: Fewer spreadsheet updates and fewer ad-hoc rate changes.
- Faster response: Same-day adjustments to demand shifts and compression events.
- Stronger controls: Role-based approvals keep oversight with revenue leaders.
- Cleaner handoffs: PMS + RMS alignment reduces friction between revenue, sales, and front office.
See it at BTL 2026
Revenue Analytics and Cloudbeds will present the expanded integration and new AI pricing capabilities at BTL 2026. Meet product experts, watch live demos, and review deployment options for your portfolio.
Visit booth 3E28 to explore how your team can implement, measure, and scale.
Learn more about the platforms:
For broader strategy guidance on AI adoption in hospitality, see AI for Hospitality & Events.
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