Course Description

"AI and Gen AI for Supply Chain Transformation" is an innovative and comprehensive course designed to equip learners with cutting-edge knowledge on how artificial intelligence (AI) and generative AI (Gen AI) are revolutionizing supply chain management. This intermediate-level course, offered by ISCEA, delves deep into the intersection of advanced technologies and supply chain processes, providing students with a unique opportunity to understand and harness the power of AI in this critical business function.

In today's rapidly evolving business landscape, supply chain management has become a cornerstone of organizational success. This course recognizes the transformative potential of AI and Gen AI in enhancing supply chain efficiency, reducing costs, and improving customer satisfaction. By exploring the applications of machine learning, deep learning, natural language processing, and computer vision in supply chain contexts, students will gain invaluable insights into how these technologies are reshaping the industry.

What Students Will Learn

• Fundamentals of supply chain management and associated processes
• The role of data, analytics, and technologies in managing modern supply chains
• Core concepts of AI and Gen AI, including machine learning, deep learning, and natural language processing
• Practical applications of AI and Gen AI in supply chain management, such as demand forecasting, supply planning, and inventory management
• Benefits and challenges of implementing AI and Gen AI in supply chain operations
• Real-world case studies and examples of successful AI integration in supply chains
• Strategies for adopting AI and Gen AI in organizational supply chains
• Understanding of risks and challenges associated with AI implementation in supply chains

Prerequisites

• Basic understanding of supply chain management processes and data
• This can be obtained through graduate-level science or engineering courses, or 2-5 years of experience in supply chain, operations, manufacturing, or data analytics areas
• No prior knowledge of AI, ML, Big Data, or Cloud Computing is required

Course Coverage

• Evolution of Supply Chain Management
• Disruptive technologies in supply chain (Cloud, AI, ML, Robotics, Gen AI)
• AI and Gen AI fundamentals and applications in supply chain and manufacturing
• Machine learning, deep learning, natural language processing, and computer vision in supply chain contexts
• Demand forecasting, supply planning, inventory management, sourcing optimization, and logistics management using AI
• Benefits of AI and Gen AI in improving accuracy, speed, and decision-making in supply chains
• Challenges in implementing AI and Gen AI, including data quality, privacy, and security concerns
• Case studies and real-world examples of successful AI integration in supply chains

Who This Course Is For

• Supply chain professionals looking to upgrade their skills
• Business managers interested in leveraging AI for operational efficiency
• Data analysts seeking to specialize in supply chain applications
• Technology professionals wanting to understand AI's impact on business processes
• Graduate students in business, engineering, or computer science fields
• Entrepreneurs and consultants in the supply chain and logistics sector

Real-World Application of Skills

• Implement AI-driven solutions to optimize supply chain processes in their organizations
• Improve demand forecasting accuracy and inventory management efficiency
• Enhance decision-making capabilities in supply planning and logistics management
• Develop strategies for AI adoption in supply chain operations
• Identify and mitigate risks associated with AI implementation in supply chains
• Stay competitive in an increasingly technology-driven business environment
• Drive innovation and digital transformation in supply chain management
• Contribute to cost reduction and improved customer satisfaction through AI-enhanced supply chain processes

Syllabus