The agricultural supply chain is intricate, evolving, and laden with inefficiencies. Artificial intelligence (AI) provides a revolutionary solution, facilitating data-driven decision-making and enhancing distribution networks. This chapter examines the utilization of AI in agricultural distribution, highlighting its capacity to improve crop yield forecasting, anticipate demand, optimize logistics, and minimize wastes. Empirical examples and case studies demonstrate the advantages of AI-driven supply chain optimization, encompassing enhanced resource allocation, diminished costs, and augmented sustainability. Utilizing AI, agricultural stakeholders can establish more robust, adaptive, and accountable supply chains, thereby enhancing global food security.