Artificial Intelligence-Based Strategies for Enhancing Supply Chain Resilience in Emerging Economies

Abstract

Supply chains in emerging economies face significant challenges due to infrastructural constraints, geopolitical instability, fluctuating market demands, and disruptions such as natural disasters or pandemics. Building resilience in these supply chains is crucial to ensure continuity, adaptability, and long-term sustainability. Artificial Intelligence (AI) has emerged as a transformative technology capable of enhancing supply chain resilience through predictive analytics, real-time monitoring, intelligent automation, and decision support. This study investigates the application of AI-based strategies tailored to the unique conditions of emerging economies. It explores how machine learning models, natural language processing, and optimization algorithms can improve risk assessment, demand forecasting, supplier management, and disruption recovery. Special emphasis is placed on integrating AI within existing supply chain infrastructure that may have limitations in technology adoption. The research adopts a mixed-method approach, analyzing secondary data from industry reports and case studies across sectors such as agriculture, manufacturing, and retail in emerging markets. It also includes the development of an AIdriven framework designed to enhance visibility, responsiveness, and flexibility in supply chains. Key findings indicate that AI enables proactive risk management by predicting potential disruptions and optimizing inventory levels. Intelligent automation reduces human error and accelerates response times during crises. However, challenges like data quality, digital literacy, and cost barriers affect widespread adoption. The study concludes that AI-based strategies offer considerable potential for enhancing supply chain resilience in emerging economies, provided that implementation is context-aware and supported by policy frameworks that encourage digital transformation. Future work should focus on scalable AI solutions, capacity building, and collaboration among stakeholders to overcome existing challenges.