Abstract:
Industry 4.0 technologies should be adopted in the current era of the digital economy to meet the 
growing demand for food supply due to population growth, climate change, geopolitical 
instability and resource scarcity. Artificial Intelligence (AI) has emerged as a promising avenue 
in ensuring food security and sustainability in food systems through optimization of the food 
supply chain (FSC) from farm-to-fork and waste reduction along the FSC. More than 40-50% of 
global food production is wasted throughout the FSC. This review examines the potential of AI in 
addressing these challenges by optimizing food supply chain efficiency, reducing waste and 
ensuring food safety as a sustainable approach in food systems. This comprehensive study was 
conducted based on indexed journal articles published in the last 20 years, collected from 
ScienceDirect and Google Scholar. AI-driven technologies such as machine learning, deep 
learning, natural language processing, robotic process automation, advanced algorithms, 
computer vision, image processing, Internet of Things (IoT) and data analytics capabilities were 
explored in this review for optimizing the FSC. AI will play a crucial role in revolutionizing 
traditional FSCs by enhancing resilience and mitigating risk through real-time, automated and 
optimal data-driven decision making. AI enables the simplification and reconfiguration of supply 
chain designs through learning, reasoning and self-correction. AI is important in ensuring 
transparency, traceability, food safety and quality. A I ensure FSC optimization and waste 
minimization by enabling precise demand forecasting through predictive analytics in market 
trends, customer demands, climate change and seasonality. AI can be successfully applied in 
inventory management, intelligent decision-making, freshness and spoilage monitoring of foods 
and streamlining logistic operations. The review emphasizes the importance of adopting AI 
technologies in FSC optimization to ensure sustainability in food systems while addressing the 
barriers and challenges faced by developing countries.