Course Overview :
This course provides a comprehensive and academically grounded exploration of how Artificial Intelligence (AI) is transforming procurement and vendor management practices. It examines the integration of AI technologies within modern supply chains, with a particular focus on enhancing efficiency, transparency, and decision-making across sourcing, supplier evaluation, contract management, and risk mitigation processes.
The program highlights practical applications within both public and private sector environments, including insights from Canadian procurement practices and supply chain modernization initiatives. It also addresses the alignment of AI solutions with Enterprise Resource Planning (ERP) systems, while emphasizing ethical, legal, and governance considerations in AI adoption.
Course Objectives
By the end of this program, participants will be able to:
- Critically evaluate the role of AI in modern procurement and vendor management.
- Design AI-driven sourcing and supplier evaluation models.
- Apply predictive analytics for risk assessment and compliance monitoring.
- Integrate AI tools within procurement workflows and ERP systems.
- Assess legal, ethical, and governance implications of AI adoption.
- Enhance supplier relationship management using AI-powered insights.
Target Audience :
- Procurement Specialists and Officers
- Vendor Managers and Supplier Relationship Managers
- Sourcing Analysts and Category Managers
- Contract Administrators
- Procurement Assistants and Coordinators
- Professionals working in supply chain and purchasing functions
Training Methodology :
- Interactive lectures
- Case studies and real-world applications
- Group discussions and workshops
- Hands-on exercises and practical scenarios
Course Outline :
Day 1: Foundations of AI in Procurement
- Introduction to Artificial Intelligence and its relevance in procurement
- Evolution of procurement and vendor management practices
- Overview of AI technologies (Machine Learning, NLP, Predictive Analytics)
- AI applications in supply chain and sourcing
- Case studies from public and private sectors (Canada focus)
Day 2: AI-Driven Strategic Sourcing & Supplier Selection
- AI in supplier discovery and pre-qualification
- Designing AI-based supplier scoring and evaluation models
- Data-driven vendor selection and performance benchmarking
- Spend analysis and demand forecasting باستخدام AI
- Practical workshop: Building a supplier evaluation framework
Day 3: Contract Management & Vendor Communication باستخدام AI
- AI applications in contract lifecycle management (CLM)
- Automated contract review and risk identification
- Natural Language Processing (NLP) in contract analysis
- AI-powered communication tools and vendor collaboration
- Integration with ERP systems (e.g., SAP, Oracle)
Day 4: Risk Management, Compliance & Predictive Analytics
- AI-based risk assessment models in procurement
- Supplier risk monitoring and early warning systems
- Compliance tracking using AI tools
- Sentiment analysis and supplier performance insights
- Cybersecurity and data protection in AI-driven procurement
Day 5: Governance, Ethics & Future Trends
- Legal and ethical considerations of AI in procurement
- AI governance frameworks and accountability
- Bias, transparency, and fairness in AI decision-making
- Future trends: Autonomous procurement and digital transformation
- Capstone case study and group presentations