Impact of Generative AI on Food Supply Chain Management

Generative AI may revolutionize food supply chain management by enhancing efficiency, reducing waste, and improving decision-making processes. Through advanced predictive models, AI can optimize inventory management, forecast demand with greater accuracy, and streamline production schedules, ensuring food is produced, distributed, and consumed more sustainably. Additionally, AI-powered tools can identify supply chain vulnerabilities, like disruptions caused by weather or geopolitical events, allowing companies to proactively mitigate risks and ensure continuity. Generative AI also enables the creation of novel recipes, product designs, and packaging solutions tailored to consumer preferences, further driving innovation in the food industry. However, the widespread integration of AI also raises concerns about data privacy, upskilling workers, and maintaining transparency across complex global supply chains. Impact of Generative AI on Food Supply Chain Management explores the role generative AI plays in food supply chains. It examines how technologies can revolutionize the food industry by optimizing supply chain operations, improving sustainability, enhancing food safety, and creating more resilient, efficient systems. This book covers topics such as blockchain, sustainable farming, and food service, and is a useful resource for agriculturalists, business owners, academicians, researchers, and scientists.

Bhupinder Chahal is a Professor at Yorkville University, Canada.

Amrinder Singh is having more than 12 years of experience in the teaching field. He has done MBA PhD in Marketing from Punjabi Iniversity Patiala.He is currently working as Head Chandigarh Group of Colleges Jhanjeri. Prior to that he has was working as Head CT University, Ludhiana. He has 15 papers to his credit till date. He has also chaired many national and international conferences. He is on the advisory board of many Universities.