Cloudbeds, a leading hospitality technology provider, is revolutionising the industry with the launch of its “smart hospitality engine,” Cloudbeds Intelligence. Powered by cutting-edge causal and multimodal AI, this innovative platform aims to connect all facets of hotel operations, providing hoteliers with invaluable insights, predictions, and recommendations.
By analysing billions of data points, including future demand signals like events, competitor rates, national holidays, and search information, Cloudbeds Intelligence offers a comprehensive understanding of market trends and opportunities. Combined with a property’s own data, this powerful tool enables hoteliers to make informed decisions and maximise revenue potential.
One of the key advantages of Cloudbeds Intelligence is its ability to understand the cause-and-effect relationships within hotel operations. For example, the platform can identify pricing opportunities or demand gaps and recommend strategies to optimise revenue. By integrating richer data, such as images, video, and text, Cloudbeds Intelligence also empowers staff to provide more personalised and effective services to guests.
Adam Harris, CEO of Cloudbeds, emphasises the transformative potential of this technology. “We’re trying to unlock the cause and effect inside a hotel,” he explains. “By understanding market trends, property dynamics, staffing needs, and guest preferences, we can help hoteliers forecast demand, optimise pricing, and drive revenue.”
Harris believes that hotels can benefit significantly from micro-adjustments that increase occupancy and revenue, rather than relying solely on major events. He also notes that the industry, traditionally slow to adopt new technologies, is increasingly receptive to innovative solutions like Cloudbeds Intelligence.
“I think hotels have been asking for this since COVID,” he says. “They’ve been looking for ways to make decisions more efficiently and reduce costs.”
Cloudbeds Intelligence offers hoteliers a unified approach to commercial strategies, integrating insights from distribution, marketing, guest experience, and operations. For instance, if a hotel anticipates low demand, the platform can recommend targeted email campaigns and rate reductions to boost occupancy.
Amit Popat, head of machine learning at Cloudbeds, highlights the advanced capabilities of Cloudbeds Intelligence. “It goes far beyond traditional forecasting,” he explains. “By providing personalised upsell recommendations and mitigating cancellations, our platform empowers hoteliers to take the best actions to meet their goals.”
Cloudbeds claims that Cloudbeds Intelligence can boost occupancy rates by 10% and RevPAR by 15%. Looking ahead, Harris envisions expanding the platform to support decision-making in areas such as housekeeping and staffing. He also plans to collaborate with industry partners to further enhance the forecasting capabilities of Cloudbeds Intelligence.
