Supply Chain Transformation Through Generative AI and Machine Learning

The transformative role of Generative Artificial Intelligence (AI) and Machine Learning (ML) in supply chain management is increasingly being recognized as a game-changer in the industry. Recent statistics underscore this trend, highlighting the rapid adoption and significant impact of these technologies. However, the path to digital transformation is not without its challenges. Despite improved success rates, about 60% of digital transformation initiatives in supply chains still struggle to fully meet their objectives. This shortfall is often attributed to several key factors: the complexity and scale of integrating new technologies into existing systems; organizational resistance to change and inadequate stakeholder buy-in; lack of skilled professionals adept in these new technologies; insufficient data governance and quality; and underestimation of the need for a robust change management strategy. These challenges highlight the critical need for a comprehensive approach that addresses both the technical and human aspects of digital transformation. Supply Chain Transformation Through Generative AI and Machine Learning is a comprehensive resource to the best practices in digital enablement, change management, and process optimization, with a specific focus on Generative AI and ML. It equips readers with the knowledge and strategies necessary for successful integration of these technologies, drawing on the latest industry insights and expert recommendations, to enhance supply chain efficiency and effectiveness, reduce costs, and drive revenue growth. Covering topics such as AI-powered visual models, demand planning, and product clustering, this book is an excellent resource for executives, business leaders, program managers, data scientists, AI and ML developers, industry analysts, consultants, professionals, scholars, researchers, academicians, and more.

Ehap Sabri, Ph.D ., is an industry leader, business professor, and author with 25+ years of industry experience sought after for his expertise in strategy development and supply chain management. Dr. Sabri played a variety of advisory roles and provided management consulting services for several companies across different industries to develop and implement best practice strategies and processes, thereby deriving value and significant cost reductions. In addition, Dr. Sabri is an adjunct professor at the University of Texas at Dallas for the MBA Programs. Dr. Ehap Sabri has a doctorate in Industrial Engineering from the University of Cincinnati in Ohio. He is also a Certified Fellow in Production and Inventory Management (CFPIM) by APICS and has Lean Six Sigma Master Black Belt in process improvement. Ehap has published 4 books in supply chain management. He also serves as the board chairman for non-profit public charter school. He resides in Irving, TX with his wife and two daughters.