Generative Ai in Food Systems: Predictive Demand, Smart Supply Chains, and Sustainable Service Futures - Hardcover

Hardcover

ISBN 13: 9798337351827

Publisher: Engineering Science Reference, 2025

Synopsis

Generative AI has emerged as a powerful tool in reshaping food systems. By leveraging vast datasets and advanced algorithms, generative AI enables businesses to anticipate market trends, reduce food waste, and tailor offerings to shifting consumer preferences with unprecedented precision. As industry faces mounting pressures from climate change, population growth, and evolving consumption habits, generative AI presents a transformative opportunity to build resilient, sustainable, and forward-looking food systems. Generative AI in Food Systems: Predictive Demand, Smart Supply Chains, and Sustainable Service Futures explores how generative AI has revolutionized food supply chains and how it can create a more efficient system. This book investigates the intersection of generative AI and food supply chain management. Covering topics such as food systems, AI, and supply chain management, this book is an excellent resource for academics, policymakers, and technology developers.

About this title

About the Authors

Geetika Madaan is currently holding a position of Assistant Professor In Research centre at Marwadi University (NAAC A], Gujrat). She has done Masters in Business Administration in Finance specialisation (Honours) from Apeejay School of Management, Jalandhar Punjab and Doctorate in Business Management from Chandigarh University, Punjab. Having teaching experience of more than 9 years and 6 years of corporate experience under her belt. She is personality to reckon with the field of Technology, Business Management, International Business. She has about more than 44 (One Q1 and two Q2) research papers published to her credit in various National and International journals of repute. She has published three books. She has received Outstanding Researcher Award, from Chandigarh University.

Bhupinder Chahal is a Professor at Yorkville University, Canada.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2025
• Language: English
• ISBN 13: 9798337351827
• Binding: Hardcover
• Number of pages: 385
• Editor: Madaan Geetika, Singh Amrinder, Chahal Bhupinder Pal Singh, David Arokiaraj, Singh Gurmeet