About Lucentia Lab
Lucentia Lab is a Technology-Based Company (TBC) that emerged from the University of Alicante, specializing in the niche of hyper-specialization in Artificial Intelligence and advanced analytics, offering cutting-edge technological solutions across a wide range of sectors. It has proven experience in Big Data projects, Data Analytics, Hyper Automation, and Artificial Intelligence. It is a Google partner company, with the capability to develop applications for GCP as well as On-Premise.
AI Models for the Tourism Sector
Our company develops data analysis solutions for the tourism sector, with Invattur as a client. These solutions are based on the analysis of data from the public entity's own sources, published by the National Statistics Institute (INE), along with a wide variety of external sources, some of which come from highly prestigious private entities. The data can be structured or unstructured, and it is modeled and combined using sector-specific ontologies to ensure interoperability, usability, and accessibility of the data and information generated. The goal is to support decision-making in the sector through techniques that promote Organizational Intelligence. The result is a set of reports in the areas of predictive analysis, clustering, segmentation, pattern/profile detection, and market studies, with the aim of leveraging the vast amount of data accumulated by tourism entities and advancing the practical usefulness of their analysis.
Target audience: Tourist Destinations, Tourist Offices, Theme Parks, Travel Agencies, Events and Festivals, Active Tourism Companies.
User Profiling through AI
Given the anticipated disappearance of cookies as a tracking method, they have developed a user classification system for tourism portals based on activity and the correlation of actions, dynamically profiling users to optimize marketing campaigns, cross-selling, and other services where segmentation adds value.
Target audience: Tourist Destinations, Tourist Offices, Theme Parks, Travel Agencies, Events and Festivals, Active Tourism Companies.
Predictive Maintenance of Tourism Assets
A platform capable of detecting degradation, alarms, or statuses in tourism infrastructures (hotels, heritage assets, amusement parks, etc.) to minimize downtime or closures, and optimize maintenance both operationally and cost-effectively, ensuring regulatory compliance and safety.
Target audience: Tourist Destinations, Theme Parks, Hotels, Events and Festivals, Active Tourism Companies.
Success stories
Artificial Intelligence for Tourism Data Visualization
Lucentia Lab leads the Tourist Intelligence System of the Valencian Community (SIT-CV), a collaborative project with Orange and Softtek, with a budget of 2.8 million euros, collecting and analyzing essential tourism data to support strategic decision-making.
The implementation of the SIT-CV is an excellent example of how AI can improve the efficiency and effectiveness of the tourism sector, and its core elements can be adapted to other autonomous communities and cities.
Key aspects
Data Collection and Analysis
The SIT-CV is responsible for capturing, integrating, processing, and analyzing different data sources to track trends in the tourism market.
Data Visualization
The system provides interactive reports and dashboards to facilitate strategic decision-making based on up-to-date data.
Traveler Behavior Tracking
The SIT-CV can understand visitor behavior from trip planning to the travel experience and sharing their stories.
Predictive Analysis
The ability to conduct predictive analyses enables anticipation of changes and adapting offerings to future tourism sector trends.
Decision Support
By providing relevant and up-to-date information, the SIT-CV becomes a key tool for decision-making in the tourism sector.
Smart Data Usage
The use of 'smart data' technology allows for personalized offerings, improving customer satisfaction and the competitiveness of the sector.
Collaboration and Participation of Multiple Actors
The SIT-CV is the result of collaboration between several leading technology companies, highlighting the importance of strategic alliances.
Improving Tourism Sector Competitiveness
The main goal of the SIT-CV is to increase the competitiveness of the tourism sector through the use of advanced data and analysis.