Hotels can know a great deal about a returning guest. In a large group, that could include where they have stayed, the room they booked, what time they checked in, whether they asked for late checkout, where they ate and what they spent.
AI makes it easier to bring that information together and put it in front of the hotel team.
But does knowing more about the guest actually make their stay better?
That is becoming the more important question as larger hotel groups invest in AI, customer data and more personalised communication.
The test of hotel AI isn't how much it knows about the guest. It's whether that knowledge produces a better stay.
A guest may have stayed five times before on business, always asked for a high floor and eaten breakfast at 7am. This time they may be arriving for their daughter's wedding.
They may usually travel alone, but this time have their partner and children with them. They may normally want an early check-in and late checkout because of their flight schedule, but this visit could be completely different.
The hotel knows what they did before. It does not necessarily know why they are staying this time.
That matters because there is a risk that more information starts being confused with better service.
For a large hotel group, there is obvious value in being able to recognise a returning guest across different properties. Someone should not have to give the same accessibility information every time they book, repeat a room preference at each check-in or explain something the hotel already has on file.
It is also useful for hotel staff. If information held across reservations, loyalty and property systems can be brought together quickly, an employee has a better starting point when dealing with that guest.
Where it becomes less clear is when past behaviour is used to decide what the guest should want next.
Someone ordered sauvignon blanc last time, so should they receive a wine offer? They booked a spa treatment during one stay, so should a spa promotion appear on their phone when they return? They previously paid for late checkout, so should that automatically become the next offer?
That may be good targeting. It is not necessarily a better hotel experience.
For operators, there is an important distinction between using information to remove inconvenience and using it to sell more to the guest. The two can overlap, but they should not automatically be treated as the same thing.
There is also a much more practical problem.
A hotel may know that a guest prefers early check-in, but that is of little value if the room is not ready. It may know they like a particular room location, but there may be no rooms available in that part of the property.
Knowing what a guest wants and being able to deliver it are two different capabilities.
For larger hotels, this is where the discussion around AI needs to move beyond the technology itself.
If guest information sits across different systems, it still needs to reach the person who can use it. If reception staff are presented with too much information, they have to decide what is relevant. If a preference requires housekeeping, food and beverage or another department to respond, the operation needs to be able to follow through.
More data does not fix a room-readiness problem, a staffing shortage or a restaurant that is already fully booked.
In some cases it could make the failure more noticeable. There is little point in demonstrating that the hotel knows a guest prefers something and then being unable to provide it.
That is why the better use of AI may often be less visible to the guest.
It could help staff find relevant information without searching through several systems, identify a request that has been made before, pick up a problem that has not been resolved or reduce some of the repetitive administration around a stay.
The guest does not necessarily need to know AI was involved.
What they notice is that they did not have to explain themselves twice, somebody was expecting them, a problem was dealt with quickly or an employee had enough time to actually speak to them.
There will still be plenty of hotel interactions where guests are quite happy not to deal with a person. Asking for another towel, checking breakfast hours or changing a checkout time does not always require a conversation at reception.
But the reason someone is standing at the desk matters as well.
A cancelled flight, a family problem, a special occasion or something that has gone badly wrong cannot always be read from previous behaviour. That is where judgement remains part of hospitality.
AI gives larger hotel groups the opportunity to make much better use of information they already hold. That should be valuable, particularly when a guest moves between properties and expects the brand to recognise them.
The danger is assuming that because the hotel knows more, it understands more.
A booking history can show what a guest has done before. The harder part is working out what matters to them today.
Read more here.
