Large Language Models for Intelligent Supply Chain Systems | LLMs for Smart Logistics | AGPH Books
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Book title: Large Language Models for Intelligent Supply Chain Systems | LLMs for Smart Logistics | AGPH Books
Large Language Models for Intelligent Supply Chain Systems explores the transformation of traditional supply chains into adaptive, data-driven ecosystems powered by advanced artificial intelligence. The book explains how large language models enable intelligent decision-making across forecasting, procurement, inventory management, logistics, and production planning. It integrates concepts from Industry 4.0 and 5.0, highlighting the role of generative AI and autonomous agents in building resilient and efficient supply chain networks. Key themes include real-time control systems, risk management, sustainability, and ESG reporting. It also addresses governance challenges such as bias, explainability, and privacy, making it essential for researchers, professionals, and decision-makers in modern logistics.
About The Publisher:
AGPH Books is a Professional Self Book Publishing House based in Central India, specializing in academic, professional, fiction, and non-fiction books in both print, digital and audio formats. The publishing house produces textbooks, research and reference works, biographies, self-help titles, children’s books, literary fiction, poetry, and general interest publications. With a transparent publishing process and strong digital distribution, AGPH Books ensures global availability through Google Books, Amazon, Flipkart, and its official website store, supporting authors and institutions in reaching a wide and diverse readership.
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About the Author
Nirmal Kumar Jingar is a senior engineering leader with nearly two decades of experience building and scaling enterprise platforms at the intersection of artificial intelligence, supply chain systems, and large-scale engineering. He has delivered multimillion-dollar measurable business impact through AI-driven optimization, platform modernization, and disciplined engineering leadership across complex global organizations. Currently serving as a Senior Engineering Manager at Wayfair, Nirmal leads engineering teams responsible for mission-critical platforms and AI-powered supply chain systems. His work has driven measurable improvements in cost efficiency, system reliability, and operational resilience, including significant reductions in production incidents, modernization of legacy architectures, and enterprise adoption of generative AI to accelerate software delivery and decision-making.
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