Food Supply Chain Management by Leveraging AI, IoT, and Blockchain Technologies

Traceability is an important component of food supply chain management because it allows businesses to track food products from their origin to the point of consumption. However, the current food supply chain system frequently lacks proper traceability methods, making it difficult to pinpoint the source of food safety concerns, monitor product quality, and assure regulatory compliance. As a result, there is a growing need to rethink food supply chain management to assure traceability. Artificial intelligence (AI), the Internet of Things (IoT), and blockchain are contributing to the resolution of these issues by increasing accountability, traceability, and efficiency. The application of blockchain, IoT, and AI to food supply chain management is examined in this book chapter. It highlights the possible advantages of incorporating these technologies into the food industry, including improved food safety, real-time food quality monitoring, and increased supply chain visibility. It looks at other uses as well, such as decentralized food traceability systems, smart packaging, and predictive analytics. The chapter also discusses the obstacles and restrictions that come with implementing these technologies in the food supply chain, as well as potential solutions and effectiveness.

Keywords: Consumer trust, Donsumption, Data analytics, Distribution, Efficiency, Food safety risks, Inventory management, Market dynamics, Quality control, Real-time monitoring, Regulatory compliance, Traceability, Transparency, Transportation, Visibility.