Artificial intelligence has revolutionized various sectors, and tourism is no exception. AI is being used to improve efficiency, personalization and profitability in the tourism sector, changing the way tourism professionals provide services to their clients.
According to a study by WAM Global, AI could pump up to $400 billion (€365,442 million) into the travel industry. Furthermore, according to Chain4Travel, the global blockchain market in tourism will reach 13.4 billion (€12,242 million) by 2027.
“AI will make travel much easier, allowing you to maximize your experience at the destination without having to worry too much about logistical complexities,” says Xavier García, director of the TTC Group. Although some traditional functions will have to adapt, the sector as a whole will benefit from more advanced technology. In particular, he highlights the management and use of data as a crucial area for transformation.
Managing data efficiently in tourism
The tourism sector collects a large amount of data from the moment a traveler books a flight or a hotel, through to their activities, visits and chosen restaurants. This information is “very valuable” and, according to Garcia, “it is essential to educate existing entities to improve communication and exchange data in a more secure and anonymous way.
Despite the enormous potential, the director of the TTC Group points to an important challenge, as there is still a long way to go to manage data effectively. “If someone claims to do it, it is probably not entirely true, as the area of improvement is constantly evolving. There are many ideas and proposals, but there are many entities and it is very difficult to reach a consensus on them.
Towards a more personalized tourism experience
The expert concludes his speech by urging us to think about the use of this data. Through the good use and analysis of data, and the application of artificial intelligence layers, we can develop predictive models of tourist flows in destinations to improve the user experience and decentralize tourism, avoiding the concentration of people in different areas to improve coexistence with visitors Garcia.
In short, artificial intelligence is profoundly transforming the tourism sector, improving efficiency, personalization and profitability. The management and use of data is presented as a key area, where important challenges must be overcome to achieve secure and anonymous communication and information exchange. This will allow the development of predictive models that improve the traveler experience and decentralize tourism, benefiting visitors and local communities.
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