Integrating Python-Based Artificial Intelligence for Enhanced Management of Inter-municipal Tourism Consortia: A Technological Approach

Claudio Zancan, João Luiz Passador, Cláudia Souza Passador


The primary goal of this article is to examine how the application of artificial intelligence (AI) contributes to the integrated management of inter-municipal tourism consortia, enabling more effective planning, decision-making, and project execution in municipal tourism departments. Integrated management of inter-municipal tourism consortia is a relevant issue as it allows coordinated actions aimed at promoting regional tourism in a sustainable manner. To achieve this goal, literature reviews and analyses of the characteristics of existing consortia in this sector were conducted, supplying qualitative and descriptive aspects to the study, including insights into how Python codes can be employed in this management process. The results write down that AI can be applied at various stages of managing these consortia, from naming opportunities to evaluating results, encompassing data analysis and demand forecasting. It was concluded that the application of AI can be a significant strategy to enhance the management of these consortia and contribute to the sustainable development of the sector. Suggestions for future studies include conducting empirical research to assess the impact of integrated AI models on the management of inter-municipal tourism consortia. Furthermore, it is crucial to explore how emerging technologies such as the Internet of Things (IoT) and Virtual Reality (VR) can be integrated with AI to further enhance the integrated management of these consortia.


artificial intelligence, management; inter-municipal consortia; tourism; Python

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Esta obra está licenciada sob uma licença Creative Commons Atribuição 4.0 Internacional.