Role of Artificial intelligence, or AI, refers to the performance of seemingly intelligent behaviours by computers or machines.
It, as a concept, has existed since the 1950s, but it is only in recent times that technology has advanced to the point where it can be considered reliable enough to deploy for important business tasks.
Essentially, AI refers to computers or machines carrying out tasks that were traditionally thought to require cognitive function to carry out.
It is associated with concepts like automation and big data.
Today, the world is dominated by cutting-edge technology, and humans can feel its presence all around.
Several advanced technologies have reshaped the world to become a better place to live - mobile apps, artificial intelligence, augmented/virtual reality, blockchain, internet of things, to name a few.
Our primary focus in this blog will be 'Artificial Intelligence (AI).'
The Role of AI is playing an increasingly important role in hospitality management primarily because of its ability to carry out traditionally human functions at any time of the day.
This potentially means that hotel owners can save significant money, eliminate human error and deliver superior service.
In particular, customer service is a vital part of the travel industry, with hotels often living and dying based on the way they treat their customers.
With artificial intelligence, the possibilities for improving this aspect are almost endless, ranging from increased personalisation to tailored recommendations.
If you want to know what Trending Technology is being used in Hospitality Sector then you can read our blog Discover Technology Trends in Hospitality Industry
One of the key customer service challenges for hotels is responding to customer queries quickly.
Artificial Intelligence now provides an additional option for tackling this problem.
Moreover, it has the capacity to assist with tasks like data analysis and, through data collection, can effectively “learn” and adapt to customer interactions.
Although the use of artificial intelligence within the hotel industry is still in its relative infancy, it already has numerous practical applications, some of which are outlined in more detail below:
An example of artificial intelligence in the hospitality industry is the use of AI to deliver in-person customer service.
We are already seeing the development of robots with artificial intelligence and the potential for this technology to grow is enormous.
Already, it is able to deal with basic customer-facing situations.
The best example of this so far has been an AI robot called ‘Connie’, adopted by Hilton.
The robot is able to provide tourist information to customers who interact with it. Most impressively, it is able to learn from human speech and adapt to individuals.
Ultimately, this means the more customers speak to it, the better it will get.
Perhaps the most obvious way artificial intelligence can be deployed by those within the hospitality sector is for front-facing customer service.
In particular, the technology has been shown to be extremely effective when it comes to direct messaging and online chat services, responding to simple questions or requests.
For example, AI chatbots have been utilised on social media platforms, allowing customers to ask questions and get almost instantaneous responses, 24 hours a day, seven days a week.
This is invaluable to hotels, because it provides the type of response times that are almost impossible to maintain with human-to-human interaction.
Another way in which AI is being utilised within the hotel industry away from pure customer service is in data analysis.
In this capacity, the technology can be used to quickly sort through large amounts of data and draw important conclusions about customers, or potential customers.
An example of this has been seen with the Dorchester Collection hotel chain, which has made use of the Metis AI platform.
By using this technology, the company has been able to sort through data collected via surveys, online reviews etc. and the AI has been able to then analyse this to draw conclusions about overall performance.