Abstract
The COVID-19 pandemic exposed critical vulnerabilities in supply chain management, particularly highlighting the risks associated with just-in-time and single-source supply chain models. These weaknesses became evident when delays in the delivery of essential supplies jeopardized public health. Consequently, the digitalization of supply chains has emerged as a pivotal strategy to enhance real-time visibility of product status, location, and other critical attributes. COVID-19 accelerated digital supply chain planning, with many organizations pivoting towards ecommerce and digital transformation to maintain competitiveness. Technologies such as the Internet of Things (IoT), Big Data, Digital Twin, Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Industry 4.0 have become instrumental in facilitating this transformation. This study conducted a systematic literature review following PRISMA guidelines, analyzing 23,338 initial articles from the Scopus database and ultimately selecting 23 articles for review after applying rigorous inclusion and exclusion criteria. The analysis focused on primary research articles published between 2020 and 2024, examining the implementation and impact of digital technologies in logistics during and after the COVID-19 pandemic. The findings provide valuable insights for practitioners and researchers, emphasizing key areas for future research in logistics digitalization and technology adaptation in the post-pandemic era.
Keywords: Artificial Intelligence (AI), Big Data, Blockchain, COVID-19, Digital Supply Chain, Digital Transformation, Digital Twin, Industry 4.0, Internet of Things (IoT), Logistics, Machine Learning (ML), Supply Chain Management.