Cloudbeds Pricing Intelligence Engine

Revenue Intelligence, powered by our proprietary Causal AI engine, forecasts demand 90 days out with up to 95% accuracy, automates pricing decisions, and ultimately increases revenue. It does this by using real-time data — such as demand, market trends, and competitor rates — to dynamically adjust prices and forecast demand with greater accuracy. This empowers hoteliers to make smarter decisions, maximize profitability, and reduce time spent on manual rate updates.

Cloudbeds Revenue Intelligence stands out by offering strong automation, simplified usability, and access to both internal and external data — all inside the Cloudbeds platform.

The best fit for Revenue Marketing today is mid-market properties with 20+ rooms, typically running at least 50–60% occupancy, that still manage pricing manually or rely on static, historical-data-based systems. Many of these customers rely on spreadsheets or simple rule-based tools and now want more automation, better forecasting, higher pricing intelligence, confidence, and accuracy — without adding complexity to their workflow. Cloudbeds Revenue Intelligence delivers exactly that: powerful automation and accurate forecasting in a platform that’s intuitive and deeply integrated with the Cloudbeds PMS.

Revenue Intelligence is also a natural fit for GMs and operators who wear multiple hats and need smart recommendations without deep revenue expertise. With causal AI driving pricing suggestions, Cloudbeds Revenue Intelligence provides data-backed actions rather than just dashboards — making it easier for busy teams to make the right decision, fast.

You can control floor/ceiling rates as well as set the minimum and maximum percentage away from the competitor set median rates — ensuring you are in full control of the system’s recommendations, and always competitive in the market.

Pickup reports (by rooms, revenue)
Reporting of all KPIs by stay date, with full cross filtering
Occupancy
Revenue (Room, F&B, Function, Spa, Other, Total)
ADR, F&B POR, RevPAR, TRevPAR
By stay date, book date, market code, rate code, room type, company, source
PACE/ Same Point in Time reporting
Demand forecasting (rooms, all revenue lines)
End of Day transaction reporting
Payroll cost reporting
Competitor rate comparison
Rate recommendation suggestions

Typically you can expect rate recommendations within 30 minutes of a booking or availability change. Rates are pushed to the PMS, and then on via the channel manager (delays are minimal, as will be based on the channel manager).