ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MANAGEMENT: A SCOPING REVIEW OF THE LITERATURE ABOUT APPLICATIONS, BENEFITS, BARRIERS, AND IMPLICATIONS FOR LATIN AMERICAN EMERGING ECONOMIES (2020-2025)
TL;DR
The results show measurable improvements after adopting AI, including a 20–35% increase in demand forecast accuracy, 20–35% reductions in inventory without losing service level, and strengthens disruption response.
Abstract
This study tackles the topic by doing a scoping review of 66 peer-reviewed papers published between 2020 and 2025 with the aim of answer the question “How is Artificial Intelligence (AI) transforming global supply chains, and what does that transformation mean for Latin American economies competing in an increasingly digitalized market?” using the PRISMA-ScR reporting guide. The results show measurable improvements after adopting AI, including a 20–35% increase in demand forecast accuracy, 20–35% reductions in inventory without losing service level, and strengthens disruption response Despite projections valuing the AI supply chain market at up to USD 58 billion by 2030, emerging economies face barriers including limited infrastructure, talent shortages, high implementation costs, and poor-quality data. Latin America represents only 4.5% of the corpus, and to addressing this point, we propose an AI–SCM adoption framework for Latin America and identify priorities for future empirical research.