The tourism industry is becoming increasingly aware of the use of AI as a way of making its operations more efficient or using technology to improve the service or customer experience. Ai agents, seen as systems that “think humanly, act humanly, think rationally or act rationally”, make use of a bundle of technologies such as Natural language processing (to communicate), Knowledge representation (to store information), Automated reasoning (to draw conclusions from stored information), Machine Learning, a data analysis method that automates the creation of analytical models and Computer vision, to perceive objects and Robotics, to manipulate objects and move.
There are many well-known cases of major players, from hotels to food and beverage operators, who have embraced AI as a way of addressing these objectives. From the Henn-na hotel chain, a pioneer in using narrow AI in its operations, a major part of big hotel chains, such as Hilton Hotels, Edwardian, Marriott, Mandarin Oriental, Sheraton, Westin, ALOFT, IHG brands such as Holiday Inn or Radisson, YOTEL, EMC hotels currently explore AI to develop accommodation support services in their operations; on the other side, operators such as Royal Caribbean Cruises, Kentucky Fried Chicken (KFC) or Mc Donalds, just to name a few, currently use AI, either in customer service, production, delivery or planning and reservation activities.
A recent study conducted over 60 hotels, from 1 to 5 stars in Portugal, reveals the motivations that drive owners or GM´s to adopt AI:
That may be grouped in six major categories, such as the search for improving service efficiency, the search for factors that positively impact the image and brand, the development of new services, the improvement of customer experience or, from an operations point of view, improving customer security or linked to management-related factors such as more revenue streams or resolving legal issues related to the human workforce.
On the contrary, aspects that can act as barriers to the use of AI by companies include the lack of internal resources capable of managing or maintaining it, the lack of technology, the existence of inaccurate data or even the different motivations that can drive brand owners and holders of exploration, generally seeking benefits that are not always aligned, not adopting AI, as well as the lesser ability of robots to deal with emotions. The adoption of AI in companies may also require the reengineering of internal processes, including training or significant changes to the organizational structure or culture of the company. Customers can also represent a barrier to the use of AI, either because they prefer to be served by a human or because of the negative marketing they can generate, judging the company that uses AI for preferring profits over people.