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Integrating AI-Enabled Food Safety, Compliance, and Future Innovations for Resilient Food Supply Chain
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Author(s): L. B. Muralidhar (Jain University, India), H. R. Swapna (Jain University, India), K. P. Sheeba (Jain University, India), Mohsina Hayat (Jain University, India)and K. Nethravathi (Jain University, India)
Copyright: 2026
Pages: 46
Source title:
Impact of Generative AI on Food Supply Chain Management
Source Author(s)/Editor(s): Bhupinder Pal Singh Chahal (Yorkville University, Canada), Arokiaraj David (SBS Swiss Business School, RAK, UAE), Amrinder Singh (Jain University, India), Geetika Madaan (Marwadi University, India)and Gurmeet Singh (The University of the South Pacific, Fiji)
DOI: 10.4018/979-8-3693-9856-2.ch002
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Abstract
The chapter explores how AI technologies can be applied to overcome some of the challenges facing quality assurance, compliance with regulation, and disruption of supply chains in the global food supply chain. This chapter further highlights that AI-powered systems, machine learning, and predictive analytics enhance supply chain resilience. The present chapter takes into consideration various other aspects of food safety, such as AI-based hazard detection, automated quality control, predictive maintenance in food processing equipment, AI-enhancing traceability of food items, compliance monitoring, real-time reporting, food safety-related decision support, incorporation of AI into standards and regulations on food safety, automation in compliance, real-time monitoring for regulatory compliance, AI-driven audit systems, risk management, smart contracts on food safety, and automated regulatory updates. The chapter emphasizes that AI plays a crucial role in shaping the future of food safety compliance, improving global food security and earning consumer trust.
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