Role-Based Programme
RB1340
AI for Strategic Sourcing
Smarter Supplier Research, Spend Insights & Sourcing Decisions
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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session
Programme Objectives
- Understand how AI can support Strategic Sourcing across spend analysis, supplier research, market intelligence, sourcing events, and decision support.
- Explore practical AI applications for identifying suppliers, analysing categories, comparing bids, and assessing sourcing risks.
- Apply structured prompting techniques to create sourcing briefs, supplier-comparison criteria, RFx content, and negotiation-preparation inputs.
- Use AI to improve productivity across category research, sourcing documentation, supplier evaluation, stakeholder communication, and reporting.
- Recognise confidentiality, commercial sensitivity, bias, data quality, competition considerations, and human-review requirements when using AI in Strategic Sourcing.
Tools covered
Generative AI AssistantsAI Search & ResearchSpend AnalysisSupplier ResearchMarket IntelligenceRFx SupportSupplier ComparisonRisk AnalysisAI-Powered Reporting & Productivity Tools
Who should attend
- Strategic Sourcing Managers
- Strategic Sourcing Executives
- Sourcing Specialists
- Procurement Managers
- Procurement Executives
- Category Managers
- Category Sourcing Professionals
- Vendor Management Professionals
- Supplier Relationship Managers
- Procurement Analysts
- Spend Analysts
- Commercial Managers
- Supply Chain Professionals
- Procurement Operations Professionals
- Strategic Sourcing Team Leads
Prerequisites & Participant Readiness
- Basic understanding of procurement, sourcing, or supplier-management processes
- Familiarity with RFIs, RFPs, RFQs, supplier evaluation, or purchasing data is helpful
- Basic analytical, research, and commercial skills
- No programming or technical AI knowledge required
- No previous AI-tool experience required
TOC Modules
Concepts
- Understanding Generative AI and its relevance to Strategic Sourcing
- Exploring AI applications across spend analysis, supplier research, RFx preparation, evaluation, and reporting
- Understanding the difference between AI assistance, procurement systems, analytics, and sourcing judgement
- Recognising AI limitations, hallucinations, outdated supplier information, and unsupported commercial conclusions
Practical activities
- Identifying high-value AI applications across a typical strategic-sourcing workflow
- Comparing a traditional sourcing activity with an AI-assisted approach
Scenarios
Business Requirement to Supplier Shortlist
Business Requirement → AI-Assisted Category Research → Supplier Landscape → Screening Criteria → Supplier Comparison → Risks & Gaps → Shortlist
Participants use AI to analyse a sample sourcing requirement, research the supplier landscape, define evaluation criteria, and prepare a structured supplier shortlist for further due diligence.
Supplier Bids to Sourcing Recommendation
Supplier Proposals → AI-Assisted Comparison → Cost & Capability Review → Risks & Clarifications → Negotiation Topics → Recommendation → Stakeholder Summary
Participants use AI to compare sample supplier proposals, identify commercial and capability differences, and prepare a concise sourcing recommendation for stakeholder review.
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