Period: 30.03.2026 – 30. 06. 2029

Funding SOURCE: ARIS, MHESI, ESRR

TOTAL BUDGET: 4.977.991,29 €

PROJECT COORDINATOR: ARCTUR Računalniški
inženiring d.o.o.

PROJECT PARTNERS: IGEA d.o.o., INOVA IT d.o.o., Kemijski Inštitut, SEMANTIKA d.o.o., University of Ljubljana – Biotechnics faculty, University of Ljubljana – Faculty of economics, University of Maribor – Faculty of electrical engineering and computer science, University of Maribor – Faculty of tourism, University of Nova Gaorica, University of Primorska – Faculty of tourism

GEMMA COORDINATOR: prof. dr. Domen Mongus

Project website: https://www.tourism4-0.org/en/t40-commons/all/flux-4-0-rethinking-the-future-of-tourism/

LINKEDIN:

Managing Flows for Sustainable Tourism

Abstract:

The overall concept of the R&D programme is based on the development of an integrated ecosystem for smart, sustainable, and resilient tourism management. This ecosystem brings together advanced data structures, the concept of a digital twin, predictive models, large language models (LLM), as well as solutions for environmental footprint reduction and crisis communication. The aim of the programme is to establish data-driven support for informing and/or managing destinations, tourists, providers, and other stakeholders in the Slovenian tourism ecosystem. Through innovative technological solutions, it enables timely responses, effective planning, and sustainable development and management of Slovenian tourism. The clarity and credibility of the programme stem from addressing the concrete needs of the tourism sector, which are based on verifiable data, international best practices, and interconnected solutions developed by renowned research and technological partners.

Project objectives and expected results:

The project aims to develop a comprehensive digital ecosystem for sustainable, smart, and resilient tourism management by integrating advanced data infrastructures, artificial intelligence, GIS technologies, and a specialised tourism large language model. It will enable real-time monitoring and forecasting of tourism flows, optimisation of visitor distribution, personalised tourist support, environmental impact assessment, and proactive crisis management. The main outcome will be a prototype digital twin of a Slovenian tourism destination that integrates heterogeneous data sources, predictive AI models, GIS-based forecasting, and environmental monitoring into a unified operational platform. Additional key results include GAMS-TUR, the first specialised large language model for Slovenian tourism, an advanced visitor flow prediction and redistribution system, and innovative solutions for automated environmental footprint assessment and circular management of organic waste in the HORECA sector. Together, these outputs will provide validated, implementation-ready tools for more sustainable and data-driven tourism management.