Artificial intelligence for enhancing supply chain management in agribusiness

The global agribusiness industry faces increasing complexity and challenges in supply chain management (SCM). These challenges arise from volatile market demands, environmental unpredictability and the necessity to ensure sustainability. Artificial Intelligence (AI) has emerged as a transformative technology to enhance SCM through advanced analytics, real-time decision-making and optimization. This review explores recent advancements in AI applications for agribusiness SCM, highlighting their theoretical and conceptual foundations. The discussion emphasizes AI's role in demand forecasting, logistics optimization, risk mitigation and sustainability. Policy implications and recommendations for integrating AI into agribusiness SCM conclude the paper, offering pathways for maximizing its potential.