AI-powered property management system Boom has announced a new integration with revenue management solution Beyond.
The partnership will enable short-term rental hosts and property managers to pair Beyond’s AI-driven revenue management system with Boom’s AI-powered property management operations.
Connecting the systems allows for dynamically priced rates to be pushed directly into Boom and out to connected channels.
Beyond’s revenue management and market intelligence expertise combine with Boom’s AI operating layer in a bid to help property managers capture demand, keep pricing competitive and eliminate manual work.
With pricing decisions flowing into Boom’s platform, updates propagate to listings automatically while teams gain a view of performance without re-keying or switching tools.
Shahar Goldboim, chief executive and co-founder of Boom, said:“Revenue is one of the most powerful levers in operations, and this integration makes it effortless.
“By uniting Beyond’s pricing intelligence with Boom’s AI management, our users can act faster and grow smarter — freeing their teams to focus on what really moves the needle.”
Gerard Murphy, VP of product at Beyond, added:“Hosts and managers need flexibility and precision wherever they are. Together with Boom, we’re putting dynamic pricing and execution on the same rail — so recommendations not only look good in a dashboard, they also actually reach the guest and deliver results in real time.”
The integration follows Boom’s launch of its Business Agentic Manager (BAM) in October. It offers autonomous decision-making across guest communications, reporting, and review management for short-term rental hosts.
Boom also announced a US$12.7 million funding round led by Avenue Growth Partners to accelerate product development and global expansion.
Beyond, meanwhile, is entering a new phase of innovation with the introduction of Neyoba, its AI-powered revenue management assistant which is designed to help property managers and hosts surface insights faster, understand performance in context, and make informed decisions with a blend of data science and human expertise.
