Transforming Hospitality with Causal AI Cloudbeds, the artificial intelligence-based hotel growth platform, has released new functionalities for its Signals foundation model, the biggest step so far in revenue intelligence and tailored guest promotion. Signals is the hospitality sector’s first AI foundation model developed exclusively for hotels, and now analyses more than 4 billion points of data in an hour to provide up to 95% forecasting accuracy.
From Data to Decisions: Cause and Effect Understanding
With Signals’ use of causal AI, not correlations like in legacy AI systems, hoteliers can make intelligent decisions regarding pricing, marketing efforts, and operational plans. By examining competitor rates, event calendars, weather trends, and booking patterns, the model produces actionable insights.
Accurate Forecasting in a Post-Pandemic World
With decreased booking horizons and changing travel behaviour, conventional forecasting techniques are no longer reliable. Signals overcomes this issue with its patent-pending “time surface of booking data” technology, which forecasts booking patterns in two dimensions for higher accuracy, especially during the important seven-day booking horizon.
Real-World Success Stories
Mercure Paddington Hotel in London has experienced outstanding results with Signals. In a tough January patch, the hotel recorded 93% occupancy against a market average of 64%, and RevPAR of £120 versus £79. These gains were derived from targeted email programs and smart rate changes led by Signals’ insights.
Personalised Guest Experience
Scale Signals also enables hotels to provide customised guest experiences. Bespoke Hotels, having started with zero guest data after acquiring 40 properties, utilised Signals to capture customer data through Wi-Fi and initiate targeted marketing campaigns. The outcome: £1 million revenue within one year and 20% open rates on personalised emails.
A Foundation Model Built for Hospitality. Unlike general-purpose AI models, Signals is trained on billions of hospitality-specific data points collected over a decade. It integrates revenue, marketing, operations, and guest experience data to provide unified insights. Key features include:
Causal AI framework for true cause-and-effect modelling
Real-time processing of 4 billion data points hourly
Proprietary time surface technology for booking data
Natural language queries across hotel operations
Personalised marketing and sentiment analysis tools
Equipping Hoteliers with Actionable Insights “Hotels are going through a fundamental transformation where conventional methods are not working,” notes Amit Popat, Cloudbeds’ Head of Machine Learning. “Signals is the type of innovation the industry requires, technology that does not merely offer data, but provides actionable intelligence that equips hoteliers to make immediate decisions with conviction.”
With Signals at its foundation, the Cloudbeds platform continues to redefine the way hotels optimise revenue, connect with guests, and compete in an ever-changing global market.
Subscribe to our newsletter below