Available Dates & Venues
Classroom Schedule
| Date | Venue | Format | Fees | Registration |
|---|---|---|---|---|
| August 1, 2026 - August 6, 2026 | Saudi Arabia - Dammam | Classroom | USD 0.00 | Registration closed |
Introduction
Procurement and supply chain functions are experiencing unprecedented disruption driven by global volatility, rising customer expectations, and increasing operational complexity. Traditional supply chain models—built on manual forecasting, reactive decision‑making, and siloed data—are no longer sufficient to meet the demands of modern business environments. Artificial Intelligence (AI) has emerged as a transformative force, enabling organizations to build smarter, more resilient, and more efficient supply chains.
AI technologies such as predictive analytics, machine learning, generative AI, and intelligent automation are now being used to optimize demand forecasting, supplier performance, inventory planning, logistics operations, and risk management. AI can analyze millions of data points in real time, identify patterns invisible to humans, and provide actionable insights that significantly improve supply chain agility and cost efficiency.
In the Middle East, where large‑scale industrial operations, energy supply chains, and government procurement systems form the backbone of national economies, AI adoption is accelerating rapidly. Organizations are leveraging AI to reduce procurement cycle times, improve supplier compliance, enhance inventory accuracy, and strengthen supply chain resilience against disruptions.
This GTMCS AI in Procurement & Supply Chain training course provides a comprehensive, practical, and industry‑aligned approach to integrating AI across procurement and supply chain operations. It equips participants with the knowledge and hands‑on skills needed to modernize processes, enhance decision‑making, and drive operational excellence.
This training course will highlight:
- AI applications across procurement and supply chain functions
- Predictive analytics for demand, inventory, and logistics
- Supplier risk assessment and performance monitoring using AI
- Intelligent automation for procurement workflows
- AI‑enabled decision‑making for supply chain resilience
Course Benefits
- Improve forecasting accuracy and inventory optimization
- Reduce procurement cycle times through automation
- Strengthen supplier risk management and compliance
- Enhance logistics planning and operational efficiency
- Increase supply chain resilience and agility
- Support digital transformation initiatives across operations
Tools & Technologies Covered
- AI‑powered procurement platforms
- Predictive analytics and forecasting tools
- Supplier risk and performance monitoring systems
- Intelligent automation tools (RPA, workflow AI)
- AI‑enabled logistics and inventory optimization tools
Practical Workshops
- AI‑driven demand forecasting simulation
- Supplier risk scoring and performance analysis
- Automated procurement workflow exercises
- Inventory optimization using predictive analytics
- Supply chain disruption response scenarios
Real‑World Case Studies
- AI‑enabled demand forecasting in retail and FMCG
- Predictive maintenance and inventory optimization in energy
- Supplier risk management in global procurement networks
- AI‑driven logistics optimization in manufacturing
- Government procurement automation using AI
Industry Relevance
This course is essential for:
- Oil & gas and petrochemical supply chains
- Manufacturing and industrial operations
- Retail, FMCG, and distribution networks
- Government procurement and logistics departments
- Healthcare and pharmaceutical supply chains
- Transportation, shipping, and logistics companies
Future Skills Alignment
- AI‑enabled supply chain planning
- Predictive analytics for procurement and logistics
- Intelligent automation for operational efficiency
- Supplier risk and compliance management
- Data‑driven decision‑making for supply chain leaders
Objectives
By the end of this training course, participants will be able to:
- Understand AI applications in procurement and supply chain
- Use predictive analytics for demand and inventory planning
- Automate procurement workflows using AI tools
- Assess supplier risk and performance using AI insights
- Improve logistics and distribution efficiency
- Strengthen supply chain resilience through AI‑driven strategies
Training Methodology
- Expert‑led operational demonstrations
- Hands‑on AI tool exercises
- Case study analysis and group discussions
- Scenario‑based supply chain simulations
- Daily knowledge checks and practical assignments
Organisational Impact
- Improved operational efficiency and cost savings
- Enhanced forecasting accuracy and inventory control
- Stronger supplier governance and compliance
- Reduced supply chain disruptions and risks
- Faster procurement cycles and improved transparency
- Increased competitiveness through AI‑enabled operations
Personal Impact
- Strong understanding of AI in procurement and supply chain
- Ability to use AI tools confidently and effectively
- Improved analytical and planning skills
- Enhanced decision‑making capability
- Greater career advancement opportunities in modern supply chain roles
Who Should Attend?
- Procurement managers and specialists
- Supply chain and logistics professionals
- Inventory and warehouse managers
- Operations and planning teams
- Category managers and sourcing analysts
- Anyone involved in procurement or supply chain decision‑making
Certificates
Upon successful completion of this training course, participants will receive a GTMCS Certificate of Completion.
Curriculum
- 5 Sections
- 20 Lessons
- 10 Weeks
- Day 1 – AI Foundations for Procurement & Supply Chain4
- Day 2 – Predictive Analytics for Planning & Forecasting4
- Day 3 – Supplier Risk & Performance Management4
- Day 4 – Procurement Automation & Operational Efficiency4
- Day 5 – AI Enabled Logistics & Supply Chain Resilience4




