Course Introduction:
In today’s fast-paced and complex global markets, the role of artificial intelligence (AI) in logistics and supply chain management has become a transformative force. This course is designed to provide participants with a comprehensive understanding of how AI technologies are reshaping supply chain operations, driving efficiency, reducing costs, and enhancing decision-making processes.
Throughout the course, participants will explore real-world applications of AI in demand forecasting, inventory management, transportation optimization, predictive maintenance, and risk management. Emphasis will be placed on emerging technologies such as machine learning, robotics, Internet of Things (IoT), and data analytics, which are revolutionizing logistics and supply chain ecosystems.
By the end of this course, attendees will gain the knowledge and skills to leverage AI-driven solutions, optimize operational performance, and build resilient, agile supply chains that meet the demands of the modern economy.
Course Outline :
Day One: Introduction to AI in Logistics and Supply Chain Management
- Overview of AI and its role in modern logistics
- AI-powered logistics vs. traditional supply chain management
- Key AI technologies: Machine Learning, Predictive Analytics, IoT, and Automation
- Case studies of AI-driven logistics transformations
- Practical session: Introduction to AI-powered logistics tools
Day Two: AI-Driven Demand Forecasting and Inventory Optimization
- The importance of accurate demand forecasting
- AI techniques for predictive demand planning
- AI-powered inventory management and stock optimization
- Reducing supply chain disruptions with AI-driven forecasting
- Hands-on session: Using AI models for demand forecasting
Day Three: AI in Transportation and Route Optimization
- AI-powered logistics networks and route optimization algorithms
- Real-time traffic analysis and dynamic route planning with AI
- Autonomous vehicles and AI-driven fleet management
- AI applications in last-mile delivery and logistics automation
- Hands-on session: AI-based transportation and route planning
Day Four: AI in Warehouse Management and Supply Chain Automation
- AI-powered warehouse automation and robotics
- Smart sorting, picking, and packing with AI-driven systems
- AI and IoT for real-time inventory tracking
- Enhancing logistics efficiency with AI-driven process automation
- Hands-on session: Implementing AI in warehouse management
Day Five: AI for Risk Management and Future Trends in Logistics
- AI-driven supply chain risk assessment and mitigation strategies
- Enhancing supply chain security and fraud detection with AI
- AI and blockchain integration for transparent supply chain operations
- The future of AI in logistics: Trends, challenges, and opportunities
- Final case study and group discussion on AI-powered logistics success