INCIDENCES AND IMPLICATIONS OF ARTIFICIAL
INTELLIGENCE IN TOURIST INTERMEDIATION COMPANIES
ABSTRACT
Artificial Intelligence - AI has been developed as a transformative technology
with the potential to revolutionize several industries, one of these, which has
experienced significant influence, is the tourism sector. With its ability to
process large amounts of data and perform complex tasks, AI has opened new
opportunities and unique challenges for tourism intermediation, that is, travel
agencies, which is why the objective of this research is to identify the factors
that influence the lack of use of artificial intelligence in tourism intermediation
companies in the city of Manta, Ecuador, for which the type of non-
experimental research with a descriptive scope was applied based on deductive
and inductive methods. The technique was the survey through the Google Forms
platform, which was applied to representatives of the tourism intermediation
companies in Manta, as well as users of travel agencies, which made it possible
to determine that these companies (56%) show little knowledge and orientation
related to the benefits of adopting AI as an improvement factor in their
services.
Keywords: Artificial intelligence, tourism industry, travel agencies, Manta.
INTRODUCCIÓN
En el mundo de hoy la inteligencia artificial - IA representa un impacto
significativo ya que es una herramienta clave para las empresas. La industria
del turismo no es una excepción, transformando la forma que opera y ofrece
servicios a los consumidores. (Dávila, 2024)
También está siendo utilizada para personalizar la experiencia del cliente en el
sector turístico. Los chatbots basados en IA permiten a los usuarios planificar
sus viajes y recibir recomendaciones personalizadas, lo que mejora la
interacción con los clientes y la calidad del servicio ofrecido. Asimismo, la IA se
utiliza para analizar grandes cantidades de datos, lo que posibilita predecir
patrones de demanda, optimizar estrategias de precios y agilizar la gestión de
inventario, lo que constituye una experiencia más eficiente y personalizada
para los clientes. (Montes, 2024)