Cloudbeds Intelligence

Cloudbeds Intelligence is best understood as Cloudbeds’ decision-intelligence architecture, now surfaced primarily through Signals, the AI and machine-learning layer built into the Cloudbeds platform. Signals combines Cloudbeds operational data with external hotel-industry and market data to support forecasting, pricing, guest intelligence, marketing, and other cross-department decisions rather than operating as a standalone application.

1. Decision support: Signals uses causal and multimodal AI to analyze billions of internal and external data points, including booking activity, competitor pricing, search demand, events, and property history. Its causal models are designed to identify relationships between demand drivers and outcomes rather than relying only on historical correlations.
2. Revenue workflow: Cloudbeds Revenue Intelligence, a Signals-powered add-on, provides real-time pricing recommendations and demand forecasts extending 90 days, with Cloudbeds reporting forecast accuracy of up to 95%. Related Signals-powered products handle other commercial workflows, including guest segmentation and targeted marketing through Guest Marketing CRM.
3. Connected data: Cloudbeds’ unified architecture connects reservations, revenue, distribution channels, payments, guest information, and marketing activity within the same data environment. Ask Signals uses this shared context to let hotel teams query operational, guest, and revenue information conversationally and receive synthesized insights and recommended actions.
4. Commercial considerations: Signals itself is not sold as a separate standalone product. Access to its capabilities depends on the Cloudbeds products selected; for example, Revenue Intelligence is currently offered as a Revenue Marketing add-on, while other Signals-powered functionality appears across Guest Marketing CRM, Digital Marketing, Reputation Management, and additional platform services.

Cloudbeds Intelligence is therefore most relevant as the intelligence foundation behind Cloudbeds’ increasingly connected hotel operations and commercial tools, rather than as a separate forecasting or analytics product that buyers purchase independently.