Supply Chain Optimization in Agribusiness with Artificial Intelligence

Gorain S.; Dutta S.; Roy S. · Smart Farming, Smarter Solutions: Revolutionizing Agriculture with Artificial Intelligence (2025) · DOI: 10.1201/9781003536932-10

Resumen

This chapter explores the transformative role of Artificial Intelligence (AI) in optimizing supply chains within the agribusiness sector. It examines how AI, through machine learning, optimization techniques, and predictive analytics, enhances efficiency by reducing costs and mitigating risks in agricultural supply chains. The chapter addresses the challenges unique to agribusiness, such as seasonality, perishability, and market volatility, and highlights how AI technologies, like real-time data analysis, demand forecasting, and intelligent logistics operations, offer effective solutions. It also delves into AI-driven innovations such as predictive maintenance and smart routing for transportation, using data from weather patterns, market trends, and production processes. Additionally, the chapter discusses the integration of blockchain with AI to improve supply chain transparency and traceability. Finally, the socio-economic and environmental impacts of AI in agribusiness, including better resource use, reduced food waste, and enhanced sustainability, are explored. This chapter emphasizes the transformative power of AI in reshaping agribusiness supply chains for improved efficiency, resilience, and competitiveness.