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Description
The application is a tourist mobility analytics platform that integrates overnight stay data from the INE's experimental statistics with its own spatial estimation algorithms, capable of identifying the attraction of tourists at the 100-metre grid level. This approach allows working with a high granularity, facilitating a precise understanding of how tourist flows are distributed and concentrated in the territory.
On this basis, the solution incorporates advanced models for the processing of mobility matrices, aimed at detecting patterns, recurrences and relevant dynamics in the movements of tourists. Based on this data, an automated system of insights generation is activated that identifies high-value events, that is, significant findings that emerge from large volumes of complex, redundant or apparently obvious information, and that are transformed into useful and actionable knowledge.
All this analytical capacity is presented through a conversational interface based on generative artificial intelligence (GenAI/LLM), which allows non-technical users to interact with the system using natural language. In this way, the exploration, understanding and interpretation of data is facilitated, reducing technical complexity and favoring informed decision-making in areas such as tourism planning, destination management and the optimization of strategies within the sector.
