Module #1 Introduction to AI in Supply Chain Management Overview of AI applications in supply chain management, importance, and benefits
Module #2 Supply Chain Fundamentals Review of supply chain management concepts, including sourcing, production planning, inventory management, and logistics
Module #3 AI and Machine Learning Basics Introduction to AI and machine learning concepts, including types of AI, machine learning algorithms, and data requirements
Module #4 Predictive Analytics in Supply Chain Using predictive analytics to forecast demand, detect anomalies, and optimize supply chain operations
Module #5 Demand Forecasting with AI Applying AI and machine learning algorithms to improve demand forecasting accuracy
Module #6 Optimizing Inventory Management with AI Using AI to optimize inventory levels, reduce stockouts, and improve supply chain efficiency
Module #7 Intelligent Supply Chain Network Design Applying AI to design and optimize supply chain networks, including facility location and transportation planning
Module #8 AI in Procurement and Sourcing Using AI to optimize procurement processes, including supplier selection, contract negotiation, and risk management
Module #9 AI-powered Quality Control and Assurance Applying AI to improve quality control and assurance processes, including defect detection and predictive maintenance
Module #10 Transportation Management with AI Using AI to optimize transportation planning, routing, and scheduling
Module #11 Warehouse Management and Automation with AI Applying AI to optimize warehouse operations, including inventory management, order fulfillment, and labor productivity
Module #12 AI in Supply Chain Risk Management Using AI to identify, assess, and mitigate supply chain risks, including disruptions and cybersecurity threats
Module #13 AI-enabled Supply Chain Visibility Applying AI to improve supply chain visibility, including real-time tracking, monitoring, and analytics
Module #14 Natural Language Processing in Supply Chain Using NLP to analyze and generate text-based data, including chatbots, sentiment analysis, and document analysis
Module #15 Computer Vision in Supply Chain Applying computer vision to analyze and interpret visual data, including object detection, image classification, and anomaly detection
Module #16 AI-enabled Supply Chain Sustainability Using AI to improve supply chain sustainability, including carbon footprint reduction, waste minimization, and social responsibility
Module #17 Implementing AI in Supply Chain:Challenges and Opportunities Addressing common challenges and opportunities when implementing AI in supply chain management
Module #18 Case Studies:AI in Supply Chain Management Real-world case studies of AI applications in supply chain management, including successes and lessons learned
Module #19 AI Ethics in Supply Chain Management Examining the ethical implications of AI in supply chain management, including bias, transparency, and accountability
Module #20 Supply Chain AI Maturity Model Assessing and improving AI maturity in supply chain management, including strategy, people, process, and technology
Module #21 AI in Supply Chain Talent Management Developing skills and talent for AI-enabled supply chain management, including upskilling, reskilling, and recruitment
Module #22 AI and Blockchain in Supply Chain Management Exploring the intersection of AI and blockchain in supply chain management, including transparency, traceability, and security
Module #23 AI-powered Supply Chain Innovation Applying AI to drive innovation in supply chain management, including new business models, products, and services
Module #24 Course Wrap-Up & Conclusion Planning next steps in AI in Supply Chain Management career
