Descripció

Implementation of Artificial Intelligence systems in tourist management digital transformation projects to optimise tourism quality and help foster the sector’s deseasonalisation.

The smart platform permits:

• Facilitating visualisation and understanding of the different data sources and variables.
• Tourism behaviour analysis.
• Analysis of trends and the seasonality of each variable.
• Assessing the impact of the SARS-CoV-2 virus on tourism.
• Analysing the status of the sector’s recovery.
• Seasonal trend prediction within each variable of the sector.
• Design of customised plans for attracting each type of tourist focused on the following objectives, among others:

‒ Attracting quality tourism.

‒ Strengthening tourism occupancy rates.

‒ Optimising seasonal occupancy levels, attracting different tourist profiles to the destination throughout the year, and avoiding situations of minimum occupancy during the low season.

Differential value of artificial intelligence in the digital transformation process.

One of the fundamental reasons to digitalise is the opportunities the computerised data analysis offers. This is because studying past and present data (descriptive) can assist in drawing conclusions that support decision making. However, the greater the increase in the volume of data, the harder it is to separate relevant information from irrelevant data.

Moreover, this approach does not enable future scenarios or situations that do not appear in the data to be assessed. The use of artificial intelligence overcomes these limitations by using past data to train predictive models to provide information about the future (predictive). These models can be used to view suggestions about which actions to take to maximise the probability of achieving set goals (prescriptive).