The problem with all new hotel technology, unfortunately, is that innovation gets turned into buzzwords quickly, usually in order to sell more products and services.
Even worse, all these buzzwords are thrown into the same marketing pot, creating a vast confusion that only “experts” can understand.
Subscribe to our newsletter below
With this article and accompanying infographic, we will demystify this subject of artificial intelligence and explain, in plain terms, what it is and what it means for hotels.
This guide was created with the intention of clarifying the most important terms and concepts related to artificial intelligence and shedding some light on what AI really means for hotels, without technicalities and by providing easy-to-understand industry examples.
Using AI in hotels, assisting staff and guests
"What is a lobby boy? A lobby boy is completely invisible, yet always in sight. A lobby boy remembers what people hate. A lobby boy anticipates the client's needs before the needs are needed".
This quote, from the critically acclaimed movie by Wes Anderson, The Grand Budapest Hotel, summarizes what the human touch of (great) hotels actually means: staff invisibility and anticipation of guests' needs. Ultimately this is what makes a good hotel great.
And this is, de facto, what hospitality is all about.
But, as the volume of guests increases and the hotels get bigger, the notion of hospitality tends to become more industrialized and less personal, until it eventually loses all of its humanity and personality.
Artificial Intelligence in hotels isn’t about one “killer app” that changes everything.
Frank Reeves
In mega hotels and big chains, that unique human touch becomes an expensive commodity, and a one-size-fits-all approach may end up being the prevalent trend.
But here is where AI kicks in: If a hotel struggles to offer their guests a tailor-made experience, then management only needs to make its human touch more scalable.
Imagine, for example, a system alerting the hotel about the expected arrival time of a guest.
The guest’s room should be ready before a specific time the valet (knowing the car’s registration) could greet the guest by name,and the front desk would have all the elements to start a memorable and highly personalized check-in experience.
Or if a guest is arriving late in the evening, the system would email the quest the room-service menu in case the guest wants to order something to eat upon arrival.
These are perfect examples of how a great first impression can really win a customer over.
This, tailored experiences based on known data, is what a hotel website should also be focused on, as it is often the first point of contact with the guest.
This is not deep AI, but merely examples of how a handful of smaller improvements can help transform an acceptable guest experience into a great one.
What happens to humans and jobs when AI arrives?
In the publication "The Future of Employment: How susceptible are jobs to computerization?", authors Michael Osborne and Carl Benedikt Frey estimate 47% of U.S. jobs are at "high risk" of potential automation.
The fact is, any repetitive job is at risk of being replaced by machines.
Even though this trend is unlikely to impact the hospitality industry in the same way, it is undeniable that replacing human interaction where it does not add any value, and increasing it where it does, is the optimum use of AI.
The bottom line is if a computer can do it, let it. Use your staff to focus on situations where the personal interaction is critical.
Frank Reeves
Hoteliers should let computers analyze trends and patterns in guest behavior, so their staff can focus on the personal interactions, without the need to browse through tons of emails just to remember if Smith prefers a poolside or a streetside room.
Humans should focus on what they do best and let computers do what they do best.
What about having hotel staff help guests to their rooms and checking up on a personal level how the guest is doing and using that to optimize the stay, rather than entering addresses and checking credit cards and scanning passports?
It is not a question of machines replacing humans (and, to be fair, this hasn’t been the case, as technology has increased rather than reduced total employment over the years), but rather machines working together with humans, on the fields they are respectively best at.
AI researcher François Chollet once wrote that "the intelligence of an octopus is specialized in the problem of being an octopus. The intelligence of a human is specialized in the problem of being human."
And we could not agree more. For example, our first AI development was to analyze user behavior on hotel websites, in real time, in order to optimize the design and information and thus enhance the user experience.
No human could do that, but the result is a more personal experience for visitors.
Removing the friction in guest experience
What hoteliers tend to forget is that, even though there are surely a lot of things that guests enjoy doing when traveling, such as relaxing by the pool or having a drink at the bar, there are others they do not.
Checking in after a long flight or checking out when one is already late for a meeting, for example, are definitely part of the latter.
The intangible, yet precious, human touch in these cases is close to irrelevant: Guests just want to get to their room (or out of it) as soon as possible.
Joseph Weizenbaum, German-American professor at MIT, wrote that AI “cannot, by definition, successfully simulate genuine human empathy” - and it is true, but a good part of the actions guests perform when in the hotel need no human empathy.
The bottom line is if a computer can do it, let it. Use your staff to focus on situations where the personal interaction is critical.
For example, hotels typically sit on large amounts of data,and it would be cost prohibitive to have people crunching the data to analyze trends, yet machines do that in seconds. Why waste human potential on this kind of task?
Artificial intelligence in hotels
While a lot of the current uses for artificial intelligence in the hospitality industry is related to revenue management, marketing and advertising, there are many other possible applications.
It can be applied to optimize housekeeping, by approximating early check-in or late check-out needs or predict maintenance work to be done in rooms.
Little things, such as estimating when to refill soaps, can reduce time spent by staff knocking on doors and improve the guest experience. Not to mention, optimize inventory management.
If a hotel struggles to offer their guests a tailor-made experience, then management only needs to make its human touch more scalable.
Frank Reeves
Customer experience can benefit from AI as well: think about pre-set room temperature based on guest preferences or voice-activated room service, rooms control, music and TV.
AI could predict estimated guests arrival time based on their nationality, and housekeeping can prioritize room availability accordingly.
When we added AI to hotel websites and booking engines, to optimize guest experience and conversion rate, we saw how an accumulation of many tiny improvements resulted in increased efficiency and revenue for hotels.
Artificial intelligence in hotels isn’t about one “killer app” that changes everything.
Much like hotels themselves, there are dozens, if not hundreds, of smaller improvements that make the experience better.
Putting it all into one place - the basics
We’ve sat down as a team at Avvio to work out easily understandable definitions for all the AI terms that are often thrown around by professionals, in articles or promotional materials.
We have done our best to keep the definitions simple while dealing with a relatively complex subject.
We are listing the terms in an order that makes it easy to understand, instead of listing them alphabetically. This does not mean that what comes first is more important than what comes next, but it is merely a sequence based on the correlation between the concepts.
If a specific term needed to be defined in order to understand another, then this was positioned higher in the sequence.
Here is an infographic with our definitions and other elements that need to be considered (click the lower right corner of the image for a larger version).