Hotel revenue management has always evolved alongside technology.
From spreadsheets and historical reports to sophisticated revenue management systems, dynamic pricing, forecasting tools and increasingly powerful data analytics, technology has continually changed how hotels understand demand and make commercial decisions.
Now, another technology is beginning to enter the hospitality conversation: Digital Twins.
They are not yet a standard part of every hotel’s revenue strategy. But as the technology develops, they raise an interesting question for revenue professionals:
Could a digital representation of a hotel change the way we plan, forecast and optimise revenue in the future?
What exactly is a Digital Twin?
In simple terms, a Digital Twin is a digital representation of a physical asset, environment or system.
But it is more than simply a 3D model or virtual tour.
A more advanced Digital Twin can connect with real-world data, creating a dynamic digital environment that can be used to understand what is happening, identify patterns and, potentially, explore different scenarios.
In hospitality, this could mean creating a detailed digital representation of a hotel – its rooms, facilities, layouts and attributes – and connecting it with relevant operational and commercial data.
Research published in 2026 describes hospitality as a promising area for AI-enabled Digital Twins, with potential applications including revenue management, resource optimisation, predictive maintenance and personalised guest experiences. However, adoption across the industry remains uneven.
That last point is important.
Digital Twins are an emerging opportunity, not yet a standard revenue-management practice.
From seeing the hotel to understanding its value
One of the most interesting applications already appearing in hospitality is the ability for guests to digitally explore a hotel before – or during – the booking process.
Rather than simply seeing:
Deluxe Room – 2 guests – R3,500
a guest could potentially explore the actual characteristics of the available rooms.
- Which floor is it on?
- What does the view look like?
- Is it closer to the pool?
- Does it have a particular orientation?
- What is the room layout?
Some hotel technology providers are already using Digital Twins to allow guests to explore properties and select specific rooms or room attributes.
This introduces an interesting concept for revenue management:
What if hotels could price not only the room category, but the attributes that make one room more desirable than another?
Moving beyond traditional room categories
Hotels have traditionally grouped rooms into categories.
Standard.
Superior.
Deluxe.
Suite.
But within the same category, rooms can have very different characteristics.
One might have a better view.
Another might be on a quieter floor.
Another might be closer to the lift.
Another might have a particularly desirable balcony.
And guests may have very different preferences about which attributes matter to them.
This is where attribute-based selling becomes interesting.
Rather than treating every room within a category as essentially identical, hotels could potentially use technology to present and monetise individual room attributes.
Digital Twin platforms are already exploring this concept, allowing guests to filter rooms according to characteristics such as location, orientation, views, floor and bed type.
For revenue teams, this could create another layer of opportunity.
The question becomes less about: “How many Deluxe Rooms do we have left?”
and more about: “What value does each available room offer, and how might guests value those differences?”
The rise of “Choose Your Room”
Airlines have long understood that customers will pay for choice.
A passenger might pay extra for a particular seat, more legroom or a preferred location within the aircraft.
Hotels have traditionally been less granular.
A guest books a room type, and the hotel decides which specific room they receive.
Digital Twin technology could potentially change that model.
Some hotel technology providers are already offering guests the ability to explore a digital version of the hotel and request or select a specific room, with hotels able to charge for the service or apply different pricing to individual rooms.
This could turn something that hotels are already doing – assigning rooms – into a potential ancillary revenue opportunity.
It also gives guests something increasingly valuable: choice.
What could this mean for revenue planning?
This is where Digital Twins become particularly interesting from a revenue-management perspective.
Imagine a hotel preparing for a high-demand period.
Traditionally, the revenue team might look at historical performance, current pickup, market demand, competitor pricing, events and other relevant data before deciding on pricing and inventory strategies.
A more advanced Digital Twin environment could eventually allow teams to explore different scenarios digitally.
For example:
- What if demand is higher than forecast?
- What if we increase rates for certain room attributes?
- What if a large group takes a significant portion of our inventory?
- What if several rooms become unavailable because of maintenance?
- What if guests show a stronger willingness to pay for specific views or locations?
The potential value isn’t necessarily that the Digital Twin would make the decision.
Rather, it could provide a way to test different possibilities before making the decision. That could make revenue planning more dynamic and scenario-driven.
From forecasting to “what if?”
Forecasting will remain fundamental to revenue management.
But forecasting generally asks: “What do we expect to happen?”
Digital Twin technology introduces the possibility of asking another question: “What could happen if we make this decision?”
That distinction could become increasingly valuable as hotels deal with more complex markets and increasingly detailed data.
Instead of relying on one forecast and one plan, revenue teams could potentially examine several scenarios and consider the commercial and operational consequences of each.
This doesn’t eliminate uncertainty.
It simply gives teams another way to work with it.
It’s not only about revenue
Another reason Digital Twins are interesting is that a hotel does not operate in separate departments.
Revenue decisions affect operations.
Operations affect inventory.
Inventory affects revenue.
A large group booking may influence housekeeping requirements, staffing, food and beverage demand and room availability.
A renovation may reduce sellable inventory.
A maintenance issue may take desirable rooms temporarily out of service.
A change in occupancy can affect everything from staffing requirements to energy consumption.
A sufficiently connected Digital Twin could potentially bring some of these different data points together, giving hotel teams a more complete view of the relationship between commercial and operational decisions.
Research into AI-enabled Digital Twins in hospitality is already exploring applications beyond revenue management, including resource allocation, predictive maintenance, energy management and personalised guest experiences.
That broader perspective may ultimately be one of the technology’s most valuable features.
There are still plenty of questions …
As exciting as the possibilities are, Digital Twins are not a magic solution.
They require data.
And that data needs to be accurate, accessible and connected.
Hotels also need the right technology infrastructure, appropriate integrations and people who understand how to use the information effectively.
There are practical considerations around implementation, cost, data governance, privacy and organisational readiness too.
The technology is developing, but adoption is still uneven across hospitality.
And perhaps the most important question for any hotel should be:
What business problem are we trying to solve?
Technology should support a strategy – not become the strategy.
What should revenue professionals be watching?
For revenue teams, Digital Twins may be worth watching not because every hotel needs one today, but because they represent a broader movement in hospitality technology.
The industry is becoming increasingly interested in:
- More granular room and guest data
- Attribute-based selling
- Personalised pricing and offers
- Ancillary revenue opportunities
- Scenario planning
- Real-time information
- Greater integration between commercial and operational data
These developments all point towards a more detailed understanding of hotel inventory and guest value.
And that could have significant implications for revenue management over time.
The future may be more granular
Hotel revenue management has already moved far beyond simply asking:
“What should we charge for this room tonight?”
The questions are becoming more sophisticated.
- Which guest?
- Which room?
- Which attributes?
- Which channel?
- Which moment?
- Which offer?
And potentially: Which combination creates the greatest value for both the guest and the hotel?
Digital Twins are still an emerging part of this conversation. They are not yet standard practice across the industry, and their long-term role in revenue management is still developing.
But the underlying idea is compelling.
If hotels can create increasingly detailed digital representations of their properties – and connect those representations with meaningful data – they may eventually be able to understand, price and optimise their inventory in ways that are far more granular than traditional room categories allow.
The next frontier of hotel revenue planning may not simply be about predicting demand more accurately.
It may be about understanding the hotel – and the value within every part of it – in greater detail than ever before.