Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertainties. How can organizations harness the power of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to increase profitability, cut supply chain costs, elevate customer service, and optimize their networks? The answers to these questions are crucial for business survival and success.
AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond.
Coverage:
The many academic areas covered in this publication include, but are not limited to:
•Artificial Intelligence (AI)
•Blockchain Technology
•Climate Change Mitigation
•Digital Transformation
•E-commerce Revolution
•Green Energy Solutions
•Internet of Things (IoT)
•Machine Learning (ML)
•Natural Language Processing (NLP)
•Quantum Computing
•Renewable Energy Sources
•Sustainable Agriculture
•Virtual Reality (VR)
•Wearable Technology
•Zero-Emission Vehicles
AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond.
Coverage:
The many academic areas covered in this publication include, but are not limited to:
•Artificial Intelligence (AI)
•Blockchain Technology
•Climate Change Mitigation
•Digital Transformation
•E-commerce Revolution
•Green Energy Solutions
•Internet of Things (IoT)
•Machine Learning (ML)
•Natural Language Processing (NLP)
•Quantum Computing
•Renewable Energy Sources
•Sustainable Agriculture
•Virtual Reality (VR)
•Wearable Technology
•Zero-Emission Vehicles