This area has always been a leader in the sphere of technologies, focusing on the positive impact on tourists and their experience. In the recent years, AI and the use of chatbots have been the new trends in this industry. These tools are not only improving the existing paradigms but revolutionalising the manner of how the tourism services are being delivered and how the companies are handling their guests. This paper aims at providing a critical discussion of the topic on chatbots and AI in tourism, the benefits and applications of the technology in the sector, as well as the impacts on the sector.
AI: Enhancing the efficiency of the Service Delivery to the Travelers.
AI does not only go up to the level of basic chatbots, but it also offers the complex tools for learning and recognizing customers’ tendencies. Modern AI systems based on big data are aimed at modelling and forecasting of travelers’ needs and behavior in order to satisfy them.
This paper also concentrates on the application of AI in the tourism industry and one of the most popular applications of the technology is prediction. Based on the previous data, AI can predict future trends relating to travel and changes in the behavior of travelers. This forecasting element enables the tourism enterprises to determine the possible future developments and, therefore, make more efficient decisions on the management of resources, marketing strategies, and services. For instance, by recognizing and predicting the periods of high traffic, companies can manage their stocks and prices to make more profits and at the same improve their clients’ experience.
Another very important advantage that is closely connected with the application of AI is the possibility to give recommendations. Thus, AI systems can suggest very specific activities, attractions, and accommodations based on the user’s data and their behavior. This level of personalization assist in enhancing the experience of the travelers since they are provided with the options that are most suitable for them and this may make them to be loyal. For instance, the AI system can suggest an itinerary that is not similar to the previous ones booked by the user but which is relevant to the user’s tastes for the purpose of improving the user’s experience.
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