Inteligência artificial em processos logísticos: evidências de um estudo em três organizações Brasileiras

Abstract

The growing digitalization of logistics processes has driven companies to seek solutions to deal with demands for efficiency, precision, and competitiveness. As a result, Artificial Intelligence (AI) emerges as a strategic technology, but whose adoption still faces technical, organizational, financial, and ethical/social challenges. This study aims to analyze the main challenges faced by companies for the adoption of AI in logistics processes, using a qualitative, exploratory and descriptive approach, through a multiple case study with semi-structured interviews. The research involved three companies selected by convenience sampling, based on contacts in industry associations and professional networks. The results indicate that AI adoption is perceived as necessary, but requires experience with digital initiatives, financial planning, and ongoing enablement. The guidelines proposed based on the findings offer academic and managerial contribution, providing evidence for companies that want to more efficiently structure the implementation of AI in their logistics processes.