Figure 2
The infographic presents five sections illustrating artificial intelligence applications in tourism and hospitality. The top section shows a dashed rectangular box labeled “Machine learning” with surrounding labels “linear regression”, “decision trees”, and “neuron networks”. Rightward arrows extend from the dashed box to five rectangular boxes labeled “Personalization of tourist offers”, “Forecasting airline ticket prices”, “Detection of fraud in reservations”, “Personalized recommendations of tourist attractions”, and “Forecasting demand for a specific destination”. A curved arrow on the left points from the first section to the second section. The second section contains a dashed rectangular box labeled “Natural language processing” with arrows pointing in opposite directions between the words “computers” on the left and “natural language” on the right. Downward arrows from this dashed box point to the rectangular boxes below labeled “Automatic responses to customer queries”, “Selection of information from text datasets”, “Analysis of opinions and reviews”, “Automatic translation”, and “Sentiment analysis in social media”. A curved arrow on the left points from the second section to the third section. The third section shows a dashed rectangular box labeled “Image analysis” with the surrounding words “recognition” and “analysis”. Rightward arrows extend from the dashed box to five rectangular boxes labeled “Recognition of tourist attractions in photographs”, “Assessment of service quality based on images”, “Automatic location identification in photographs”, “Detection of crowds and overcrowding in places”, and “Analysis of tourist behaviour based on photographs”. A curved arrow on the left points from the third section to the fourth section. The fourth section contains a dashed rectangular box labeled “Automatization of processes” with the surrounding words “document”, “dataset management”, and “completing forms”. Rightward arrows extend from the dashed box to five rectangular boxes labeled “Automatic bookings and confirmations”, “Database and schedule updates”, “Online payment processing”, “Management of documentation and invoices”, and “Generating reports and analyses”. A curved arrow on the left points from the fourth section to the fifth section. The fifth section contains a dashed rectangular box labeled “Recommendation systems” with an arrow pointing downward to the text “based on machine learning algorithms”. Below the dashed box are five stacked rectangular boxes labeled “Personalized travel offers”, “Recommendations of tourist attractions”, “Recommendations of restaurants and local attractions”, “Recommendations of additional services and activities”, and “Recommendations of travel itineraries”.Business model SmartTour. Source: Authors’ own elaboration