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Duration 14 hours
Course Outline
Introduction to AI in Procurement
- Understanding Generative AI: Definitions and capabilities
- Tool overview: ChatGPT, Claude, Gemini, and Copilot
- Current applications of AI in procurement teams
Designing Effective Prompts for Procurement
- Key principles for clear and structured prompting
- Avoiding common prompt design mistakes
- Templates for sourcing, RFQs, and supplier communication
AI in Procurement Operations
- Utilizing AI for tender creation, supplier discovery, and market research
- Generating and reviewing contract clauses with AI assistance
- Applying AI to spend analysis and supplier performance monitoring
Data Protection and Confidentiality in AI
- Understanding how procurement data is handled by AI platforms
- Securing sensitive and confidential information
- Ensuring the relevance, accuracy, and verifiability of data
AI for Decision Support and Risk Assessment
- Validating AI-generated risk scores and reports
- AI in supplier risk evaluation and predictive analytics
- Case studies from IT, GRE/IFM, HR, and Marketing categories
Ethics and Risk Awareness in AI-Driven Procurement
- Understanding Generative AI limitations: bias, hallucination, and misuse
- Regulatory and ethical considerations in procurement processes
- Developing internal policies for responsible AI usage
Fostering AI Adoption in Procurement Teams
- Viewing AI as a complement, not a replacement
- Building trust in AI outputs and overcoming resistance
- Strategies for internal change management and pilot projects
Summary and Future Directions
Requirements
- Practical experience in procurement, sourcing, or contract management
- Working knowledge of standard procurement procedures and terminology
- No prior background in AI or data science is necessary
Target Audience
- Category managers (Managers, Senior Managers, Directors)
- Operational and tactical sourcing specialists
- Procurement and contract management teams
