US-based hospitality management platform Cloudbeds has established a partnership with Dingus to unify hotel distribution and drive revenue growth.
The collaboration combines distribution, operations and connectivity into a single ecosystem that expands access to key distribution channels.
This provides hotels with wider access to international and regional distribution networks, especially in Spain and Latin America.
Through the integration, accommodation providers can oversee property operations, manage distribution channels and booking strategies from a single platform.
This arrangement reduces the reliance on multiple systems and consolidates control for hotel operators.
With the new connection, hotels can engage with a broader range of third-party partners and direct booking opportunities.
The integration allows real-time control over complex multi-property operations, supported by Dingus’ central reservations system.
Cloudbeds stated that the partnership aims to simplify operational management and equip hotels to handle distribution requirements across different markets.
Dingus strategy and partnerships senior vice-president Milena Galindo said: “Our collaboration with Cloudbeds provides hotels with a more connected and efficient way to manage distribution and maximise performance.
“By combining our expertise in connectivity and revenue strategy with Cloudbeds’ unified platform, we are helping hoteliers increase visibility, improve conversion, and drive direct sales.”
This partnership aligns with Cloudbeds’ broader strategy to maintain an open ecosystem, offering hotels access to various hospitality solutions and facilitating shifts in market demand.
Cloudbeds strategic partnerships vice-president Sébastien Leitner said: “Together with Dingus, we’re making it easier for properties to reach the right guests, capture more revenue, and spend less time managing the complexity that gets in the way.”
In January 2026, Sadie launched an integration with the Cloudbeds platform to automate hotel guest calls and reservation management using voice AI.
