Smart Hospitality Networks Turn Tourists Into Local Insiders

The Hotel That Knows You Want the Wrong Thing

The first time I walked into a “smart” hotel room, the lights turned on automatically. The curtains opened. The thermostat had already guessed my preferred temperature. It was fine. It was also forgettable. What the room did not know, and could not know, was that I actually wanted the lights off, the curtains closed, and the air conditioner set to a temperature that would make a polar bear shiver. I had just flown in from a humid country. I was not in the mood for hospitality. I was in the mood for a cave.

This is the fundamental problem with most smart hospitality today. It collects data, but it does not understand context. It personalizes, but it does not individualize. And according to a sweeping 2022 review by Dimitrios Buhalis, Peter O’Connor, and Rosanna Leung, published in the International Journal of Contemporary Hospitality Management, that gap is about to become the central battleground of the entire tourism industry (Buhalis et al., 2022).

The authors analyzed 145 peer-reviewed articles and eight major review papers to map where smart hospitality is heading. Their conclusion: the industry is moving toward something far more ambitious than a room that remembers your preferred pillow type. It is building “agile business ecosystems in networked destinations.” In plain English: hotels, restaurants, local shops, transport providers, and even city governments are stitching themselves together into a single digital organism. And if they get it right, tourists will stop feeling like outsiders fumbling through a foreign city. They will feel like locals who just happen to be carrying a suitcase.

But getting it right is harder than it sounds. Because what tourists actually want is not what they say they want. And what they say they want is not what the data shows.

The Three Levels of Knowing a Guest

Buhalis and his co authors identify a hierarchy of guest intelligence that most hospitality companies have only climbed halfway. At the bottom is customer centricity. This is the easy stuff. It means the hotel knows your name, your check in time, and whether you prefer a king bed or two doubles. Most major chains have this down. It is table stakes.

One level up is personalization. This is where algorithms start to earn their keep. The system learns your habits: you always order room service at 10 p.m., you never use the minibar, you watch the news channel for exactly 15 minutes before falling asleep. The hotel adjusts accordingly. It stocks your mini fridge with the snacks you actually eat. It sets the TV to your channel. It sends a dinner menu to your phone at exactly 9:45 p.m.

This is where most “smart” hotels stop. But the real insight from Buhalis et al. is that personalization is not enough. Because personalization still assumes you are a predictable version of yourself. It assumes your preferences are stable. They are not.

The top level is individualization. This is the hard part. Individualization means the system understands that your preferences shift depending on context. You might be a light sleeper at home but a heavy sleeper after a 14 hour flight. You might love Italian food but hate it on Tuesdays because you had bad pasta last Tuesday. You might be a morning person for business trips but a night owl for vacations.

“Individualization goes beyond personalization,” the authors write, “by adapting to the specific needs of each tourist at a particular moment in time” (Buhalis et al., 2022). In other words, the system does not just know who you are. It knows who you are right now.

This is where the smart hospitality network becomes something more than a fancy hotel app. It becomes a live, breathing ecosystem that adjusts in real time. And to do that, it needs data from everywhere.

The Network Effect: Why Your Hotel Needs to Talk to the Coffee Shop

Here is the part that surprised me. The authors argue that the future of smart hospitality is not really about hotels. It is about “networked destinations.” A hotel that operates in isolation, even a very smart hotel, is like a smartphone with no internet connection. It can do a few things well, but it is fundamentally limited.

The real power comes when hotels, airlines, restaurants, museums, ride share services, and local retailers all share data within a single ecosystem. Imagine this: your flight lands. The airline knows you are delayed by two hours. It pings the hotel. The hotel adjusts your check in time and reschedules your dinner reservation at the restaurant down the street. The restaurant knows you are a vegetarian because the hotel shared your dietary preferences (with your permission). The museum knows you are arriving late, so it extends the ticket window for the exhibit you booked.

This is not science fiction. The authors describe it as “agile business ecosystems” where multiple providers coordinate around a single tourist’s journey, responding in real time to changes in schedule, mood, weather, and even traffic (Buhalis et al., 2022). The tourist does not have to manage anything. The network does it for them.

But here is the catch. This only works if every node in the network trusts every other node. And trust, in the hospitality industry, is fragile. Tourists are already nervous about how their data is used. The idea of a hotel sharing your food preferences with a restaurant might feel helpful. The idea of a hotel sharing your location with a retailer might feel creepy. The line between “helpful” and “invasive” is thin, and it moves depending on the person, the context, and the day.

The Metaverse Is Not Just for Gamers

One of the more unexpected findings in the review is the role of the metaverse. I confess I rolled my eyes when I first read this. The metaverse feels like a solution in search of a problem, especially for travel. Why would I want to visit a virtual version of Paris when I could just go to Paris?

But Buhalis et al. see it differently. They argue that the metaverse, along with augmented reality and virtual reality, will become a critical layer in the smart hospitality ecosystem. Not as a replacement for real travel, but as a preview and a memory.

Imagine you are planning a trip to Tokyo. Before you book anything, you put on a headset and walk through a virtual version of the Shibuya crossing. You see the neon signs. You hear the crowd noise. You step into a virtual ramen shop and look at the menu. The system tracks what you linger on. It notices you spent extra time looking at the matcha dessert. When you arrive in Tokyo for real, your hotel already knows you have a sweet tooth. It recommends a matcha shop three blocks away that the virtual tour did not show you.

The authors call this “phygital” hospitality, a blend of physical and digital experiences that feel seamless (Buhalis et al., 2022). The metaverse is not a gimmick. It is a data collection tool that feels like play. And that is exactly why it might work.

How They Did the Research

Before I go further, let me explain how this paper was built. Buhalis, O’Connor, and Leung did not run experiments or survey tourists. They conducted what is called a systematic literature review. They searched the Web of Science database for peer reviewed articles on smart hospitality and tourism, focusing on the most recent and most cited work. They identified 145 articles that met their quality criteria, plus eight major review papers that summarized the field up to that point.

Then they did something that sounds simple but is actually rare: they read everything, looked for patterns, and synthesized the findings into a single framework. The result is not a single new discovery. It is a map of the entire landscape, showing where the field has been, where it is now, and where it needs to go. The authors call it a “conceptual synthesis.” I call it a cheat sheet for anyone who wants to understand what smart hospitality actually means.

The methodology has limits. A review paper is only as good as the papers it reviews. If the underlying studies are flawed, the synthesis inherits those flaws. But the authors are transparent about this. They flag gaps in the literature and point to questions that remain unanswered. They are not claiming to have the final word. They are drawing a map and saying: here is the territory. Go explore.

What the Research Does Not Prove

This is where I need to slow down. The Buhalis et al. paper is ambitious, but it is also speculative. The authors are describing a future that does not fully exist yet. Some of the technologies they discuss, like ambient intelligence (environments that respond to you without explicit commands), are still in early stages. Others, like fully integrated destination networks, have been tried in pilot projects but have not scaled.

There is also a tension in the paper that the authors acknowledge but do not fully resolve. Smart hospitality promises to make travel easier and more personalized. But it also requires massive data collection. The authors call for “sustainability” as one of the foundations of smart hospitality, but they do not fully address the sustainability of the data infrastructure itself. Data centers consume enormous amounts of energy. Sensors require rare earth minerals. The environmental cost of a truly smart hospitality network might be higher than the industry is willing to admit.

And then there is the question of equity. Who gets to be a “local insider”? The smart network will work best for tourists who have the money, the devices, and the digital literacy to participate. What about the traveler who shows up without a smartphone? What about the local resident who does not want to be part of the ecosystem at all? The paper does not answer these questions. It sets them aside for future research.

That is not a flaw. It is honesty. The authors are saying: here is the vision. Now we need to figure out if we can build it without breaking what we already have.

The Foundations That Make It Possible

The paper identifies four “foundations” that must be in place for smart hospitality to work. They are not flashy. They are infrastructure. But without them, nothing else matters.

Ambient intelligence. This is the ability of the environment to sense and respond to human presence without explicit commands. Think of a hotel room that dims the lights when you sit down to watch TV, not because you told it to, but because it learned that you prefer low light during movies. The authors argue that ambient intelligence is the invisible layer that makes personalization feel natural rather than intrusive (Buhalis et al., 2022).

Big data. This is the fuel. Every interaction, every click, every preference, every complaint, every weather report, every flight delay becomes a data point. The network needs massive amounts of data to make accurate predictions. But the authors caution that more data is not always better. The key is relevance. Collecting data without a clear use case is just noise.

Processes. This is the boring stuff that makes or breaks the system. How does a hotel share data with a restaurant? What format do they use? Who owns the data? What happens if a guest withdraws consent? The authors call for standardized processes across the entire ecosystem. Without them, every integration is a custom project, and custom projects do not scale.

Sustainability. This is the most interesting foundation, because it is the most ambiguous. The authors mean sustainability in three senses: environmental sustainability (reducing waste and energy use), economic sustainability (making sure the ecosystem benefits local businesses, not just global chains), and social sustainability (respecting local culture and not turning destinations into theme parks).

What This Actually Means

The Buhalis et al. paper is dense and academic. But its implications are practical. Here is what the research actually means for the people who build, run, and use smart hospitality networks.

• ▸Stop personalizing. Start individualizing. Personalization assumes you are a static set of preferences. Individualization assumes you change. Build systems that adapt to context, not just averages. A guest who likes jazz might not want jazz at 2 a.m. after a red eye flight. The system should know the difference.

• ▸Data sharing is the bottleneck. The technology for smart hospitality mostly exists. What does not exist is trust. Hotels, restaurants, and transport providers need to agree on data standards, privacy protocols, and revenue sharing. Until they do, the network will remain fragmented. The first destination to solve this will have a massive competitive advantage.

• ▸The metaverse is a marketing tool, not a destination. Do not build a virtual hotel. Build a virtual preview that collects real data. Let tourists explore, linger, and choose in a low stakes environment. Then use that data to surprise them when they arrive in person.

• ▸Sustainability is not optional. Smart hospitality that ignores its own environmental footprint will face backlash. The network must be designed to reduce waste, not just increase convenience. A smart room that uses more energy than a dumb room is a failure, no matter how personalized it is.

• ▸The guest is not the only customer. Local residents, small businesses, and municipal governments are also stakeholders in the ecosystem. A smart hospitality network that treats locals as obstacles or afterthoughts will fail. The best networks make the city better for everyone, not just for tourists.

The hotel room that dims the lights when you sit down is not the future. It is the present. The future is a hotel that knows you want the lights off, the curtains closed, and the air conditioner set to Arctic because you just came from the tropics. And it knows this not because you told it, but because it saw you arrive, checked the weather at your origin, and made a guess that turned out to be right.

That is the difference between a smart hotel and a smart hospitality network. One reacts. The other understands.