AI for Procurement Professionals: Practical Applications and Risk Awareness Training Course Teradata: From Fundamentals to Advanced Data Analytics
AI-powered tools like ChatGPT, Gemini, and Microsoft 365 Copilot are transforming how procurement professionals perform research, draft documents, analyze supplier data, and manage contracts.
This instructor-led, live training (online or onsite) is aimed at intermediate-level procurement professionals who wish to use AI tools safely and effectively to enhance decision-making, automate operational tasks, and prepare for future procurement challenges.
By the end of this training, participants will be able to:
- Understand and differentiate major AI tools and their relevance to procurement tasks.
- Write effective prompts to improve AI accuracy and reduce risk of misuse.
- Use AI to support sourcing, contract drafting, market analysis, and supplier evaluation.
- Interpret AI-generated outputs responsibly and identify bias or hallucinations.
- Recognize privacy, confidentiality, and ethical concerns when using AI in procurement.
- Apply AI tools to real procurement categories like IT, IFM, Marketing, HR, and more.
Format of the Course
- Interactive lecture and discussion.
- Hands-on exercises with real-world procurement examples.
- Use of live AI tools and prompt crafting practice.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to AI in Procurement
- What is Generative AI? Definitions and capabilities
- Overview of tools: ChatGPT, Claude, Gemini, Copilot
- How procurement teams are using AI today
Crafting Effective Prompts for Procurement Use Cases
- Principles of prompt clarity and structure
- Common errors in prompt design and how to avoid them
- Prompt templates for sourcing, RFQs, and supplier engagement
AI in Procurement Operations
- AI for tender creation, supplier scouting, and market research
- Generating and reviewing contract clauses with AI
- Use of AI in spend analysis and supplier performance tracking
Data Protection and Confidentiality in AI Use
- What happens to your procurement data in AI tools?
- Managing sensitive and confidential information securely
- Ensuring data relevance, accuracy, and verifiability
AI for Decision Support and Risk Evaluation
- Reading and validating AI-generated risk scores and reports
- AI in supplier risk assessment and predictive analytics
- Examples from categories like IT, GRE/IFM, HR, Marketing
Ethics and Risk Awareness in AI-Driven Procurement
- Limitations of generative AI: bias, hallucination, misuse
- Regulatory and ethical considerations in procurement workflows
- Building responsible AI usage policies internally
Driving AI Adoption in Procurement Teams
- AI as an enabler, not a replacement
- Overcoming resistance and building trust in AI outputs
- Internal change management strategies and pilot project ideas
Summary and Next Steps
Requirements
- Experience in procurement, sourcing, or contract management
- Familiarity with standard procurement processes and terminology
- No prior AI or data science background required
Audience
- Category managers (Managers, Senior Managers, Directors)
- Operational and tactical sourcing professionals
- Procurement and contract management teams
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