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Enhancing Traceability and Transparency in Food Supply Chains Through Generative AI
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Author(s): Vishwajit K. Barbudhe (Sandip Intitute of Technology and Research Center, Nashik, India), Shraddha N. Zanjat (SOET, Sandip University, India)and Bhavana S. Karmore (G.H. Raisoni University, Amaravati, India)
Copyright: 2026
Pages: 20
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.ch004
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Abstract
This raises the need for traceability while ensuring its responsible use, a daunting task. Emerging technologies like blockchain and AI, including GPT-2, offer potential solutions. GPT-2, with its capabilities in generation synthesis, machine learning, and document automation, addresses practical challenges such as synthetic data generation, product simulation, and document processing. By applying these technologies, traceability and visibility in food supply chains can be significantly improved. Virtual product models can replicate physical characteristics and provenance, enhancing food safety, sustainability, and consumer confidence. GPT-2's ability to automate documents and generate realistic simulations strengthens supply chain transparency, ensuring secure and sustainable operations while building trust among consumers.
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