Applied Data Science and AI In Supply Chain Optimization and Enterprise Transformation | Analytics, AI, and Intelligent Supply Chains | AGPH Books
by Shreya Jain
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Book title: Applied Data Science and AI In Supply Chain Optimization and Enterprise Transformation | Analytics, AI, and Intelligent Supply Chains | AGPH Books
Applied Data Science and AI in Supply Chain Optimization and Enterprise Transformation serves as a comprehensive guide to navigating the technological and structural shifts in modern logistics. This book is structured to provide both a theoretical foundation and practical applications, beginning with an exploration of data-driven models, including descriptive, predictive, prescriptive, and adaptive approaches. It details the critical infrastructure required to support these models, such as data lakes, data warehouses, and hybrid cloud architectures. To support these infrastructures, the book discusses specialized platforms and tools, including Apache Hadoop, Snowflake, SAP IBP, Microsoft Power BI, TensorFlow, Apache Kafka, and Amazon Redshift.
A significant portion of the book is dedicated to the core pillars of supply chain management, covering Predictive Analytics through the mastery of demand forecasting using time series methods and machine learning models like Random Forests and Neural Networks to reduce uncertainty. It further explores Optimization through the application of linear programming, network design, and vehicle routing to enhance inventory control. The book details the role of AI in Procurement, specifically leveraging Natural Language Processing (NLP) for contract analytics, spend optimization, and supplier performance evaluation. Additionally, it focuses on Intelligent Automation, utilizing Digital Twins, IoT sensors, and real-time monitoring systems to create self-healing supply networks. The book also addresses the complexities of change management, offering strategies like Lewin’s Three-Step Model, Kotter’s Eight-Step Process, and the ADKAR Model to ensure successful technology adoption. Finally, it looks toward future trends, discussing emerging AI technologies such as Generative AI, edge analytics, and sustainable supply chain strategies. By providing a strategic roadmap for future readiness, this book empowers organizations to synchronize global operations and achieve a sustainable competitive advantage through scalable intelligence and resilient systems.
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 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
Shreya Jain is an Associate Director of Analytics Consulting at Tiger Analytics with over 15 years of experience in applying data science, artificial intelligence, and advanced analytics to solve complex business challenges. She specializes in supply chain optimization, marketing analytics, predictive modeling, and AI-driven decision-making, helping organizations transform data into measurable business value. An alumna of the Indian Institute of Technology (IIT) Bombay, where she earned an M.Tech. in Industrial Engineering & Operations Research, Shreya has successfully led high-impact analytics initiatives for global enterprises. Her expertise spans machine learning, business intelligence, intelligent automation, recommendation systems, and enterprise AI solutions, delivering significant improvements in operational efficiency and business performance. She is passionate about bridging the gap between advanced analytical techniques and practical business applications, enabling organizations to build resilient, intelligent, and data-driven enterprises. Through this book, she shares her industry experience and practical insights to help students, researchers, and professionals leverage data science and AI for next-generation supply chain transformation.
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