The global food and nutrition industry faces significant challenges in managing complex supply chains, particularly in ensuring efficiency, sustainability, and responsiveness to market demands. This study explores the optimization of supply chain management (SCM) within the food and nutrition sector through a case study approach. By analyzing key industry players and their strategies, the research identifies best practices and innovative methods that contribute to enhanced supply chain performance. The study highlights the importance of integrating advanced technologies such as artificial intelligence (AI), blockchain, and Internet of Things (IoT) in streamlining operations, improving traceability, and ensuring the quality and safety of food products. Additionally, it addresses the role of data analytics in demand forecasting and inventory management, enabling companies to respond quickly to market fluctuations and consumer preferences. The research also examines the impact of sustainable practices on reducing waste, minimizing environmental impact, and enhancing the overall resilience of the supply chain. Through in-depth analysis of case studies, the study provides actionable insights and recommendations for industry stakeholders to optimize their supply chain strategies, ultimately leading to increased competitiveness and customer satisfaction. This research contributes to the growing body of knowledge on SCM in the food and nutrition industry, offering a comprehensive understanding of the challenges and opportunities in this critical sector.