Overview
- Duration
- 5 days
- Format
- Classroom
- Language
- English / Arabic
- Next session
- 4 - 8 Oct, 2026
- Fees
- USD 2,600Per participant
Why Attend
The Artificial Intelligence in Supply Chain Management Training Course is designed to help professionals understand how AI in Supply Chain transforms modern logistics and business operations. As part of the Logistics & Supply Chain Training Courses under the Management category, this course provides practical knowledge of artificial intelligence applications, machine learning, predictive analytics, demand forecasting, intelligent automation, and supply chain optimization. Participants will learn how AI-powered technologies improve planning, procurement, inventory management, transportation, and customer service while reducing operational costs.
This comprehensive training programme explores how AI-driven decision-making enhances supply chain resilience, increases operational efficiency, and supports data-driven business strategies. Through practical examples and real-world case studies, participants will discover how organisations use AI to predict market trends, optimise logistics networks, automate repetitive processes, improve supplier performance, and strengthen overall supply chain visibility.
Course Objectives
By the end of the course, participants will be able to:
- Understand the fundamentals of AI in Supply Chain and its business applications.
- Learn how machine learning improves supply chain decision-making.
- Apply predictive analytics to enhance operational planning.
- Develop effective demand forecasting strategies using AI tools.
- Explore intelligent automation for procurement, warehousing, and logistics.
- Improve inventory control through AI-driven optimization techniques.
- Analyse supply chain data to identify trends and performance improvements.
- Reduce operational risks using AI-based predictive models.
- Enhance transportation planning and route optimisation.
- Implement AI strategies that improve customer satisfaction and supply chain resilience.
Target Audience
- Supply Chain Managers
- Logistics Managers
- Procurement Professionals
- Warehouse Managers
- Operations Managers
- Inventory Controllers
- Distribution and Transportation Managers
- Business Analysts
- Digital Transformation Professionals
- Professionals seeking to integrate AI into supply chain operations
Course Outline
Module 1: Introduction to AI in Supply Chain
- Fundamentals of artificial intelligence
- Evolution of AI in supply chain management
- AI technologies and business applications
- Benefits and challenges of AI adoption
Module 2: Machine Learning for Supply Chain Management
- Fundamentals of machine learning
- Data collection and preparation
- AI models for operational improvement
- Practical machine learning applications
Module 3: Predictive Analytics and Demand Forecasting
- Introduction to predictive analytics
- AI-driven demand forecasting
- Market trend prediction
- Sales and inventory forecasting techniques
Module 4: AI for Inventory Optimization
- Inventory planning strategies
- Stock level optimization
- AI-based replenishment systems
- Reducing inventory costs
Module 5: AI in Procurement and Supplier Management
- Intelligent supplier evaluation
- AI-assisted procurement processes
- Supplier performance analysis
- Risk assessment and mitigation
Module 6: Automation in Logistics Operations
- Warehouse automation
- Robotic process automation
- Automated order processing
- Smart distribution systems
Module 7: Transportation and Route Optimization
- AI-powered route planning
- Fleet management optimisation
- Delivery scheduling
- Real-time logistics monitoring
Module 8: AI for Supply Chain Risk Management
- Predicting supply chain disruptions
- Risk monitoring using AI
- Business continuity planning
- Scenario modelling and response strategies
Module 9: Supply Chain Data Analytics and Decision Making
- Data visualisation techniques
- Performance measurement
- AI-supported decision-making
- Supply chain dashboards and reporting
Module 10: Implementing AI in Supply Chain Organisations
- AI implementation strategies
- Change management for digital transformation
- Ethical considerations and governance
- Future trends in AI in Supply Chain
Schedule & Fees
2026 Schedule & Fees
- 4 - 8 Oct, 2026
- English
- 4 - 8 Oct, 2026
- Arabic
- 6 - 10 Dec, 2026
- English
- 6 - 10 Dec, 2026
- Arabic
2027 Schedule & Fees
- 3 - 7 Jan, 2027
- English
- 3 - 7 Jan, 2027
- Arabic
- 7 - 11 Mar, 2027
- English
- 7 - 11 Mar, 2027
- Arabic
- 4 - 8 Apr, 2027
- English
- 4 - 8 Apr, 2027
- Arabic
- 6 - 10 Jun, 2027
- English
- 6 - 10 Jun, 2027
- Arabic
- 4 - 8 Jul, 2027
- English
- 4 - 8 Jul, 2027
- Arabic
- 5 - 9 Sep, 2027
- English
- 5 - 9 Sep, 2027
- Arabic
- 3 - 7 Oct, 2027
- English
- 3 - 7 Oct, 2027
- Arabic
- 5 - 9 Dec, 2027
- English
- 5 - 9 Dec, 2027
- Arabic