Leveraging AI For Enhancing Agricultural Supply Chain Efficiency: Reducing Waste And Improving Distribution

Author(s)	Lalitha Reddy, Badam
Country	United States
Abstract	Artificial intelligence (AI) is increasingly transforming agricultural supply chains by improving forecasting, reducing waste, and enhancing distribution efficiency. This study reviews how AI-driven tools such as predictive analytics, smart inventory systems, route optimization, and decision support systems address persistent supply chain challenges, including post-harvest losses, demand uncertainty, weak logistics, and limited traceability. The study also examines the complementary role of IoT, blockchain, and business intelligence in strengthening visibility, transparency, and responsiveness across the supply chain. The review finds that AI improves coordination, minimizes spoilage, supports sustainability, and enhances food security by enabling more data-driven and adaptive supply chain operations. The study concludes that AI is a strategic enabler of agricultural supply chain transformation, although its effectiveness depends on infrastructure, digital capability, and institutional support, particularly in developing and emerging markets.
Keywords	Artificial intelligence, agricultural supply chain, food waste reduction, predictive analytics, logistics optimization, sustainability.
Field	Engineering
Published In	Volume 5, Issue 4, April 2024
Published On	2024-04-06

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