Web Application Prototype for Tourist Travel in the State of Querétaro, México

Digital marketing studies, artificial intelligence and tourism make a theoretical and practical contribution to the applied customer journey model. This model examines the influence on the purchase decision in the virtual context, where traveler’s share their experiences through reviews, interact with other customers and potential customers. This allows the tourist to examine, evaluate, buy, recommend, and build brand loyalty. In this work qualitative research was conducted, with the intention of evaluating the feasibility of using twitter information to design a progressive web application. The functionality of the application considers identifying tourist sites in Querétaro on the map, integrating the reviews with an artificial intelligence model that catalogues the sentiments in a text using hashtags; and traces a route to facilitate the visit. Tourists can record the emotions experienced before, during and after the service provided to continue feeding information into the app. This allows companies to get real-time customer feedback, user preferences, as well as to evaluate and compare their services with those of competitors.