Introduction
Modern supply chains are becoming increasingly complex, requiring organizations to leverage AI and predictive analytics to enhance efficiency, reduce costs, and improve decision-making. Traditional logistics management methods struggle to keep up with fluctuating demand, disruptions, and global uncertainties. By integrating AI-driven forecasting, real-time data insights, and automation, businesses can optimize inventory, streamline operations, and enhance supplier collaboration. This course provides participants with practical tools and techniques to implement AI and predictive analytics in supply chain and logistics management. Participants will learn how to explore resilient, agile, and intelligent supply chains.
Course Outline
- Module 1
- Module 2
- Module 3
- Module 4
- Module 5
- Course Objectives
- Target Audience
AI & Predictive Analytics in Supply Chain
- The evolution of AI in logistics and supply chain management
- Key technologies: Machine learning, IoT, and big data analytics
- Understanding predictive vs. prescriptive analytics for supply chain
- Identifying key data sources for supply chain optimization
Demand Forecasting & Inventory Optimization
- AI-driven demand forecasting models and techniques
- Managing seasonal demand fluctuations with predictive analytics
- Inventory optimization strategies using AI-powered tools
- Reducing stockouts and overstock risks with real-time data insights
AI-Driven Logistics & Route Optimization
- Machine learning applications in transportation and logistics
- AI-powered route planning for cost and time efficiency
- Predictive maintenance: Preventing disruptions in logistics
- Reducing carbon footprint through AI-driven logistics efficiency
Risk Management & Supply Chain Resilience
- Identifying potential supply chain risks using predictive analytics
- AI-driven supplier risk assessment and management
- Scenario planning and crisis response using AI simulation models
- Strategies for building a resilient and adaptive supply chain.
The Future of AI in Supply Chain & Hands-on Workshop
- Emerging trends: AI, blockchain, and robotics in supply chain
- The role of generative AI in predictive analytics
- Evaluating AI-driven tools for supply chain transformation
By the end of this course, participants will be able to:
- Explore how AI and predictive analytics support supply chain improvement.
- Apply forecasting methods to predict demand using machine learning.
- Use AI tools to improve delivery routes and reduce logistics delays.
- Manage inventory more effectively with predictive data techniques.
- Respond to supply chain risks using real-time data and alerts.
- Work with AI tools to support procurement and supplier decisions.
- Plan smarter supply chain activities using data-based strategies.
This course is ideal for:
- Supply chain managers & coordinators.
- Logistics and distribution staff.
- Procurement and purchasing officers.
- Inventory and warehouse managers.
- Demand planning and forecasting analysts.
- Operations and production planners.
- IT staff supporting supply chain systems
- Data analysts working with inventory data
- Department heads.
Course Schedule & Fees
- Kuala Lumpur
- Singapore
- Amsterdam
- Online
- Course Fees
This course will take place in Kuala Lumpur on the following dates:
| 05/05/2025 | 19/05/2025 | 02/06/2025 | 16/06/2025 |
| 30/06/2025 | 14/07/2025 | 28/07/2025 | 11/08/2025 |
| 25/08/2025 | 08/09/2025 | 22/09/2025 | 06/10/2025 |
| 27/10/2025 | 10/11/2025 | 24/11/2025 | 08/12/2025 |
| 22/12/2025 | 05/01/2026 | 19/01/2026 | 02/02/2026 |
This course will take place in Singapore on the following dates:
| 26/05/2025 | 16/06/2025 | 07/07/2025 | 28/07/2025 |
| 18/08/2025 | 08/09/2025 | 29/09/2025 | 20/10/2025 |
| 10/11/2025 | 01/12/2025 | 22/12/2025 | 12/01/2026 |
| 02/02/2026 | 23/02/2026 |
This course will take place in Amsterdam on the following dates:
| 12/05/2025 | 02/06/2025 | 23/06/2025 | 14/07/2025 |
| 04/08/2025 | 25/08/2025 | 15/09/2025 | 06/10/2025 |
| 27/10/2025 | 17/11/2025 | 08/12/2025 | 29/12/2025 |
| 19/01/2026 | 19/01/2026 |
This course will take place Online the following dates:
| 13/05/2025 | 10/06/2025 | 08/07/2025 | 05/08/2025 |
| 02/09/2025 | 30/09/2025 | 28/10/2025 | 25/11/2025 |
| 23/12/2025 | 20/01/2026 | 17/02/2026 |
| Kuala Lumpur | Singapore | Amsterdam | Online |
| USD$ 3,580 | USD$ 5,600 | USD$ 5,600 | USD$ 1,920 |
