The growing impact of automation and artificial intelligence (AI) on supply chain management and
logistics is remarkable. This technological advance has the potential to significantly transform the
handling and transport of goods. The implementation of these technologies has boosted efficiency,
predictive capabilities and the simplification of operations. However, it has also raised critical
questions about AI-based decision-making. To this end, a systematic literature review was carried
out, offering a comprehensive view of this phenomenon, with a specific focus on management. The
aim is to provide insights that can guide future research and decision-making in the logistics and
supply chain management sectors. Both the articles in this thesis and that form chapters present
detailed methodologies and transparent results, reinforcing the credibility of the research for
researchers and managers. This contributes to a deeper understanding of the impact of technology
on logistics and supply chain management. This research offers valuable information for both
academics and professionals in the logistics sector, revealing innovative solutions and strategies
made possible by automation. However, continuous development requires vigilance, adaptation,
foresight and a rapid problem-solving capacity. This research not only sheds light on the current
panorama, but also offers a glimpse into the future of logistics in a world where artificial
intelligence is set to prevail
