With consumers having an ever-increasing number of options when searching for the ideal price for a hotel room, revenue management platforms must adjust their rate-optimization models. Likewise, as guests seek a more experience-based stay, new profit streams have to be included in the calculations.
To consolidate all revenue and profit tools into a single platform, revenue management technology provider Duetto has introduced the Revenue & Profit Operating System (RP-OS).
Alex Zoghlin, who was named Duetto CEO last month after David Woolenberg stepped down from the position, said that the platform “puts hoteliers in control, giving them the tools to understand demand, optimize for profitability and navigate a landscape that is only becoming more dynamic and more competitive. This isn’t about keeping up. It’s about staying ahead.”
RP-OS optimizes every revenue opportunity across the entire property, rather than focusing solely on room rates. “It uses richer data, greater automation and a more connected ecosystem,” said Zoghlin. “RP-OS expands the scope, elevates the strategy and enables hotel teams to focus on long-term profitability rather than just short-term yield. It’s the evolution of revenue management into a true commercial operating system.”
The platform employs a multi-algorithm approach, not relying on a single “master model,” but instead running multiple forecasting and optimization models in parallel. “When they align, the system builds confidence,” he said. “When they don’t, it gives commercial leaders visibility into what’s changing and why. That level of explainability is essential in dynamic markets.”
Longer term, he added, the company is evolving toward agentic AI, technology that doesn’t just recommend but acts.
“Our goal is to move beyond insight into intelligent action,” said Zoghlin. “That means a system that can automatically adjust pricing, yield across multiple revenue streams and even optimize things like staffing or distribution mix—all grounded in profitability.”
Not only does the solution look at the whole property, helping hoteliers maximize revenue and profit across areas including F&B, the spa and meeting space, it also provides revenue forecasting and optimization for group, corporate and negotiated business.
The platform also brings together siloed systems and data. “One of the biggest challenges in hotel tech today is fragmentation,” Zoghlin noted. “Commercial teams are juggling multiple platforms that don’t talk to each other. RP-OS is designed to unify data from across the tech stack to support smarter, more connected decision-making. It also incorporates forward-looking indicators—like demand signals and on-the-books data—to enable proactive, not reactive, strategies.”
He added that the platform also utilizes artificial intelligence (AI) to handle complex tasks and surface insights, allowing revenue leaders to spend more time on strategy.
“In short, RP-OS is a step change in how hotels approach revenue,” he said. “It’s a system built for where the industry is going—not where it’s been.”
At the same time RP-OS was launched, Duetto introduced two new revenue management solutions, GameTime and Advance, each designed to meet the needs of different segments within the hospitality industry.
“GameTime was purpose-built for select- and limited-service hotel chains and large brands with select- or limited-service hotels in their portfolio,” said Zoghlin. “ It simplifies core revenue management tasks like pricing strategy, rate automation and performance monitoring. With GameTime, hotel teams can access essential metrics, manage multiple properties centrally and benefit from dynamic pricing updates driven by real-time demand signals, all without the complexity of a traditional RMS.”
He continued, “Advance is designed for more complex operations that need forward-looking, market-aligned revenue strategy. It integrates third-party datasets such as Amadeus Demand360, STR and PredictHQ event data directly into the RMS, giving revenue teams an unprecedented level of market insight. Advance uses AI to detect anomalies, surface revenue opportunities and dynamically optimize pricing—all within one system.
