At Mine Hospitality uses Cloudbeds Revenue Intelligence to scale smarter pricing across nearly 30 boutique hotels

At Mine Hospitality manages nearly 1,000 rooms across a growing portfolio of nearly 30 independent boutique hotels in some of the United States’ most competitive leisure destinations, including Florida, California, and Utah. Each property has its own personality, market dynamics, ownership goals, and pricing strategy, and all rely on a centralized revenue management team to maximize performance.

That team consists of just two revenue managers. Every weekday, they review every property, balancing occupancy, booking pace, market demand, competitor pricing, and revenue opportunities across the entire portfolio.

Managing revenue for a single hotel is complex enough, but doing it for nearly 30 independent properties with a two-person team requires more than expertise. It requires technology that can scale decision-making without sacrificing precision or control.

For At Mine Hospitality, efficiency isn’t simply an operational advantage. It’s the foundation that allows a small team to deliver sophisticated revenue management at portfolio scale.

Like many experienced revenue professionals, At Mine’s team has relied on years of instinct, historical trends, and carefully built reporting processes to make pricing decisions.

Even after implementing Cloudbeds Revenue Intelligence across five pilot properties, that discipline hasn’t disappeared. The team still maintains its own detailed reporting to monitor booking pace, forecast demand, and communicate performance with property owners. But increasingly, those internal insights are being complemented by Cloudbeds’ AI-powered pricing recommendations.

“I would say confidently, 85% to 90% of the time, we’re accepting the recommendations,” explains Dan, Head of Revenue Operations at At Mine. “Which I think is very good.”

For Dan, that level of trust represents a significant shift.

Having previously worked with another enterprise revenue management platform, he found himself overriding pricing recommendations almost all the time.

“I’ve used Rainmaker in the past, and I probably overrode their recommendations 90% of the time. So far, I really like Cloudbeds Revenue Intelligence. Overall, it’s good.”

Rather than replacing human expertise, Revenue Intelligence has become another trusted member of the revenue team, providing recommendations that align with how experienced revenue managers already think.

Portfolio revenue management becomes exponentially more complex as properties are added.

Every day requires evaluating pickup trends, occupancy, ADR, competitor positioning, and future demand across dozens of hotels, all while communicating strategy with individual ownership groups.

For At Mine, Cloudbeds Revenue Intelligence is helping simplify that complexity.

The platform continuously analyzes booking patterns and recommends pricing adjustments, allowing the team to spend less time calculating rates and more time validating strategy.

Manual overrides remain available whenever market conditions require them, but increasingly they’re becoming the exception rather than the rule.

That balance between automation and human oversight gives the team confidence to scale their revenue operation without compromising decision quality.

One theme surfaced repeatedly throughout At Mine’s implementation is the importance of flexibility.

Rather than asking revenue managers to abandon their existing workflows overnight, Cloudbeds Revenue Intelligence fits naturally alongside the team’s established reporting processes.

Internal spreadsheets remain valuable for forecasting and owner reporting, while Revenue Intelligence provides dynamic recommendations that can be reviewed, accepted, or adjusted in real time.

The result is a workflow that combines historical analysis with forward-looking intelligence.

Dan explains that there will always be situations where experienced revenue managers make different decisions than the system recommends.

“I think there’s always going to be dates where we manually override. That’s just inevitable.”

Cloudbeds embraces that philosophy by keeping revenue managers firmly in control while making smarter recommendations easier to act upon.

Throughout the implementation, Dan and his team worked directly with Cloudbeds’ product team, providing detailed feedback on Revenue Intelligence on everything from calendar navigation and manual overrides to occupancy visibility, competitor rate comparisons, and workflow improvements.

Many of those suggestions were already being incorporated into upcoming product releases, including faster calendar approvals, bulk actions, simplified navigation, and more intuitive rate editing.

That collaborative approach reflects a broader philosophy behind Cloudbeds Revenue Intelligence, that the best revenue management technology is built alongside the people who use it every day.

Revenue management has never been about replacing expertise with automation.

It’s about giving experienced professionals better information, faster workflows, and greater confidence in every pricing decision.

For At Mine, Cloudbeds Revenue Intelligence is delivering exactly that.

With AI-driven recommendations trusted most of the time, a lean two-person revenue team can confidently manage pricing across nearly 30 independent hotels while maintaining the flexibility to apply human judgment whenever it matters most.

As hospitality portfolios continue to grow, that’s becoming the real competitive advantage — making better pricing decisions.