Artificial Intelligence Applied to Last-Mile Logistics: A Systematic Review

Abstract

Last-mile logistics is one of the biggest challenges in the modern supply chain, especially due to the rise in e-commerce and the high demand for fast and efficient deliveries. In this context, it is observed that Artificial Intelligence (AI) has stood out as a promising solution to optimize routing in this delivery process, improving the distribution of resources and dynamically adjusting routes. With the aim of analyzing and mapping AI techniques applied to last-mile logistics, this study developed a systematic review combined with a bibliometric and qualitative analysis. This methodology uses the strategy of searching and collecting works on a specific topic, evaluating their scientific relevance through the PRISM 2020 flowchart. Based on the results, it is concluded that AI applied to the last mile has the potential to reduce costs and increase operational efficiency and customer satisfaction.