Artificial Intelligence and Supply Chain Management in the FMCG Sector: A Literature Review

Despite the growing adoption of artificial intelligence (AI) in supply chain management, there is limited systematic understanding of how AI transforms supply chains in the Fast-Moving Consumer Goods (FMCG) sector. This paper systematically reviews and synthesizes the literature on AI applications in FMCG supply chain management to develop an integrated theoretical framework. Through a comprehensive analysis of peer-reviewed  articles, this study identifies four key dimensions of AI- enabled supply chain transformation in FMCG: strategic  value creation, operational excellence, digital integration, and performance optimization. The investigation encompasses both technological capabilities and organizational factors that influence successful AI implementation in FMCG supply chains. The analysis reveals significant gaps between theoretical possibilities and practical implementations, particularly in areas of value capture and organizational adaptation. This study identifies critical success factors and implementation challenges that organizations face when integrating AI into their supply chain operations. This paper contributes to the literature by developing a conceptual framework that explicates the mechanisms through which AI creates value in FMCG supply chains and by proposing a research agenda that addresses critical theoretical and empirical gaps. For practitioners, this review provides an implementation roadmap and identifies critical success factors for AI adoption in FMCG supply chain operations.