2025-12-102025-12-102025-12-01SANTOS, Bruno Erik Diniz dos; COSTA, Byanca Caroline. Proposta de framework para potencializar o uso da inteligência artificial na gestão de operações logísticas: uma análise de stakeholders, desafios e benefícios. 2025. Trabalho de Conclusão de Curso (Graduação em Engenharia de Produção) - Universidade do Estado do Pará, Belém, 2025.https://bibliotecadigitaldetcc.uepa.br/handle/riuepa/727The increasing demand for efficiency, integration, and competitiveness has encouraged the adoption of artificial intelligence (AI) in the Brazilian logistics sector. However, this implementation still faces structural, technological, and organizational challenges that limit its effective application. In this context, this study aims to propose and validate a framework capable of enhancing AI adoption in logistics operations management. A qualitative–quantitative approach was adopted, combining a literature review with an empirical survey answered by logistics professionals. The collected data were analyzed using the Lawshe and Technique for Order Preference by Similarity to Ideal Solution methods. The study identified the key stakeholders involved, validated the essential challenges to AI adoption, and ranked the benefits according to their perceived importance. The results enabled the consolidation of a validated framework that integrates these elements to support decision-making and guide AI implementation strategies. The proposed model contributes both theoretically and practically by highlighting the critical factors shaping digital transformation in logistics and by offering applicable guidelines for organizations seeking to strengthen the adoption of intelligent technologies in the Brazilian context.Língua PortuguesaAbertoArtificial intelligenceLogistics operationsFrameworkLawshe-TOPSISStakeholdersChallengesBenefitsTrabalho de Conclusão de Curso (TCC)