For all the attention paid to the lifestyle appeal of branded residences, much of what happens behind the scenes is increasingly data-driven. As the product matures, scales and in some cases, moves down the price curve, technology and AI are becoming more fundamental in helping the model work.
At its core, branded residences, particularly those co-located with hotels or those with rental programs, are an exercise in complexity. It’s no longer about optimising a fixed block of hotel rooms with predictable availability but about a fluid inventory shaped by owner usage, rental pool participation, length of stay patterns etc. Making it commercially coherent and profitable increasingly depends on how well technology can stitch these moving parts together.
Same principles, more variables
From a revenue perspective, the logic itself is not new. Ben Godon, head of hospitality asset management at Colliers, is clear that the fundamentals of pricing branded residential inventory should mirror hotel practice when homes are placed into a rental pool.
“If you put your home into a rental pool, you would expect the hotel operator to optimise the rental of that home. They should apply all of the revenue management skills, knowledge and systems they apply to their hotel bedrooms to the homes in the rental pool,” he says.
In practical terms, that means maximising rate in peak periods, driving occupancy in shoulder and low seasons and treating residences as a natural extension of the hotel’s room-type hierarchy rather than as a bolt-on product. For many branded resi owners, the expectation is straightforward: the share of rental income should at least cover service charges and deliver returns.
Where branded residences diverge from hotels, however, is not in principle but in execution. Godon points to the opportunity - and necessity - for better technology that can manage hotel rooms and residential rental pools in tandem.
“There are good tools out there altogether and technology to manage together rental pools and hotel inventory will evolve further over time. But at this current moment in time, I think there can be further development to assist optimisation across both areas,” he says.
Michael McCartan, area vice president at IDeaS frames the challenge in more historical terms. In many respects, branded residences mirror timeshare models from an optimisation perspective, particularly when it comes to variable inventory availability.
Over time, revenue management systems have adapted to that complexity, allowing operators to flag owner-consumed inventory within the PMS, distinguish residential units as separate room categories in co-located branded residences and forecast demand accordingly. The key, McCartan says, is being able to treat hotel rooms and residences as operationally distinct while still rolling up performance into a single asset view.
He explains: “You essentially have two operations on a single platform but through the coding in the background, you can treat them as operationally independent. So when it comes to the overall performance of the complex, it all rolls up into the top line: you can report on it and you can segment on it. But when it comes to pricing and supporting the guests operationally, they're two separate entities.”
This distinction becomes even more critical in models where short stays and longer stays coexist. Optimisation tools can separate demand curves rather than crudely discounting long stays from short-stay pricing, a practice McCartan argues often leads to revenue dilution.
The AI discussion
Importantly, AI is not new to revenue management. Predictive analytics and machine learning, what McCartan refers to as mathematical AI, have been instrumental to pricing optimisation for decades. What is changing now is usability.
Generative AI is beginning to act as a translation layer between complex systems and human decision-makers. Instead of trawling through dashboards, revenue managers can increasingly interrogate systems conversationally: what changed overnight, where pickup accelerated, why certain actions were taken.
“That’s the next step,” McCartan says, noting that longer term, as agentic AI matures, revenue systems will start working more proactively with marketing, meetings and events systems, not just reacting to demand but driving outcomes based on defined strategy.
For branded residences, particularly resort-led schemes with layered use cases, this evolution matters. Historically, many systems struggled to understand complexities in relation to these products. However, McCartan notes that over the past four to five years, that gap has narrowed and understanding has deepened.
While revenue optimisation works quietly in the background, the more visible disruption is happening on the distribution side. And here, AI’s implications extend well beyond hotels into branded residential inventory.
Florian Montag, business development manager at cloud platform Apaleo, describes language models not as the “new OTA” but as the new interface between guests and the booking ecosystem.
“ChatGPT and others are changing how guests interact with websites, OTAs and booking engines the way this changes the distribution landscape is quite significant,” he says.
Early partnerships between LLMs and platforms such as Expedia and Booking.com signal where momentum is heading. The logic is simple: consumers gravitate towards the most seamless experience. If an AI interface can research, recommend and transact end-to-end, with standardised policies and frictionless checkout, that pathway will often outperform traditional booking journeys.
For hotels and branded residences with rental programs, the risk isn’t that intermediaries disappear overnight, but that properties simply get left out. If inventory isn’t structured in a way that AI systems can read, access and book, it is unlikely to surface effectively in generative search.
“If hotels don’t offer the possibility of direct bookings via LLMs,” Montag warns, “they’re effectively giving that whole playing field to the OTAs.”
The concept of generative engine optimisation i.e. structuring content so LLMs can accurately understand, rank and recommend offerings is becoming as important as SEO once was. Longer term, as payments and checkout functionality mature within AI interfaces, the competitive divide may increasingly hinge on infrastructure readiness rather than brand recognition alone.
Openness matters
Across all three perspectives, a common theme emerges: openness. Legacy systems that were never designed to talk to external platforms or adapt incrementally make innovation harder, slower and more expensive.
“If you want to connect to open LLMs or implement AI agents, your core infrastructure needs to be fundamentally open,” Montag advises.
That matters acutely for branded residences, where operators are often managing hotel rooms, residential units, owner services and rental pools within the same ecosystem.
McCartan’s advice to those launching hotels and branded residences side by side is blunt: get the foundations right early.
“Create a platform that allows you to adopt revenue science. Good revenue science depends on logical data and you need to set up the foundation in a way that allows you to build on top of that. If you don’t set it up properly, you’ll lose time reversing decisions later.”
He adds: “Invest in setting up correctly to begin with and that will allow you to accelerate your adoption of technology moving forward. It gives you much more operational flexibility because you have that clean, well-structured information.”
Scaling beyond luxury
Perhaps the most relevant implication of all is what technology enables as branded residences expand beyond luxury and ultra-luxury. As margins tighten, success shifts from topline growth to efficiency.
Revenue optimisation, automation and AI-driven decision-making allow operators to scale portfolios with leaner teams, centralised governance and standardised strategy.
“When you don’t have luxury margins, you need to be smart. Collaboration with technology is important for scalability,” McCartan notes.
It’s clear that while emotional and lifestyle appeal may sell the home, moving forward, technology will be a crucial component to consider if the branded residences sector hopes to really take the entire world by storm.