Turismo de Aragón Transforms Access to Its Data with a Generative AI AssistantTurismo de Aragón Transforms Access to Its Data with a Generative AI Assistant
Turismo de Aragón

Turismo de Aragón Transforms Access to Its Data with a Generative AI Assistant

Executive Summary

Through its partnership with Orange Empresas, Timestamp developed the SITAR 2.0 project for the Government of Aragón: a Single Tourism Query Point for Turismo de Aragón. The solution is centred on a generative AI-based assistant (LLM), capable of answering any query about tourism in the region in natural language.

The platform integrates multiple data sources into a Semantic Data Lake and turns complex data into accessible, immediate and strategic knowledge.

In addition, SITAR 2.0 was recognised at the latest Digital Tourist 2026 with the Award for Best Digital Destination Governance, for the development of Aragón’s Tourism Intelligence System.

The Challenge

Aragón is a destination that was not included in the allocation of European funds to connect to the national Smart Destinations Platform (PID). A scalable and replicable alternative was therefore needed, capable of unifying access to tourism information without depending on that connection.

Accessing tourism data required navigating multiple tools and scattered sources, making analysis and decision-making more difficult. The goal was to offer users a single, intuitive and conversational way to obtain contextualised answers in real time.

Portfolio

The Timestamp and Orange Empresas Solution

Timestamp and Orange Empresas developed a generative AI platform that integrates tourism data and enables intelligent queries from a single access point.

Single Query Point

Timestamp and Orange Empresas implemented the Single Query Point for Turismo de Aragón, a platform that centralises access to the region’s tourism information.

Generative AI Assistant

The solution incorporates a generative AI-based assistant capable of answering questions in natural language about tourism flows, visitor profiles and trends.

Semantic Data Lake

The assistant interacts with a Semantic Data Lake on AWS S3, integrating sources such as internet browsing, mobile geolocation, INE, AEMET and DataEstur.

Data Integration and Normalisation

The data is integrated through ETL processes in Python and Node.js, normalised and enriched with a common ontological mapping based on a tourism ontology.

Intelligent Query and Visualisation

The system combines models such as OpenAI or Mistral, semantic search with Qdrant and PostgreSQL databases, orchestrated through n8n and exposed through Angular and Apache Superset.

Business Impact

Scope of the Solution

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Single Point

Conversational access to all tourism data sources

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Real Time

Contextualised, explanatory and actionable responses

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Scalable

Replicable architecture for other destinations and sectors

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Recognition

Project awarded at Digital Tourist 2026 with the Award for Best Digital Destination Governance

The Client

The Government of Aragón, through Turismo de Aragón, drives the region’s tourism management and promotion through the strategic use of technology and data. This solution strengthens its ability to make data-driven decisions and turn complex information into useful knowledge for tourism management and promotion.

 

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