Role-Based Programme
RB1343
AI for Strategic Sourcing
Advanced Supplier Intelligence, Spend Optimisation & Sourcing Excellence
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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development
Programme Objectives
- Develop advanced capability to apply AI across strategic sourcing, category analysis, supplier discovery, market intelligence, RFx processes, evaluation, negotiation, and sourcing governance.
- Use AI-assisted analysis to identify spend opportunities, supplier-market dynamics, cost drivers, sourcing risks, and value-creation opportunities.
- Apply AI to supplier research, RFIs/RFPs/RFQs, bid comparison, should-cost analysis, total cost of ownership, negotiation preparation, and sourcing recommendations.
- Use AI-assisted analytics to improve sourcing speed, commercial insight, supplier selection, risk management, cost efficiency, and stakeholder decision-making.
- Build responsible AI-enabled Strategic Sourcing workflows with strong confidentiality, governance, validation, transparency, and human oversight.
Tools covered
Generative AI AssistantsAI Search & ResearchSpend AnalysisSupplier IntelligenceCategory AnalysisMarket IntelligenceRFx DevelopmentBid AnalysisCost ModellingTotal Cost of Ownership AnalysisSupplier Risk AnalysisNegotiation IntelligenceWorkflow AutomationAI AgentsDecision-Support Tools
Who should attend
- Strategic Sourcing Managers
- Category Managers
- Procurement Managers
- Sourcing Specialists
- Strategic Buyers
- Procurement Analysts
- Category Analysts
- Supplier Management Professionals
- Commercial Procurement Professionals
- Procurement Excellence Professionals
- Supply Market Intelligence Professionals
- Vendor Management Professionals
- Procurement Transformation Professionals
- Procurement Operations Leaders
- Leaders Responsible for Strategic Sourcing & Supplier Selection
Prerequisites & Participant Readiness
- Experience in procurement, sourcing, category management, purchasing, supplier management, or commercial operations
- Familiarity with RFIs, RFPs, RFQs, supplier evaluation, negotiation, contracts, and sourcing processes
- Basic awareness of Generative AI and common business applications
- Comfort working with supplier, spend, market, commercial, and procurement information
- No programming knowledge required
TOC Modules
Concepts
- Understanding Generative AI, reasoning models, research, analytics, automation, and AI agents
- Exploring AI applications across sourcing strategy, supplier research, commercial analysis, and negotiations
- Distinguishing AI-assisted sourcing from autonomous supplier-selection decisions
- Understanding hallucinations, commercial confidentiality, weak evidence, and human accountability
Practical activities
- Mapping AI opportunities across the Strategic Sourcing lifecycle
- Identifying activities suitable for augmentation, automation, or continued human ownership
- Creating an AI opportunity map for Sourcing teams
Scenarios
Fragmented Supplier Base to Strategic Sourcing Programme
Spend Analysis → Category Segmentation → Supply Market → Supplier Discovery → RFx → Bid Evaluation → Negotiation → Award Recommendation
Participants use AI to analyse fragmented spend across multiple suppliers, identify consolidation opportunities, research the supply market, conduct a structured RFx process, and create an evidence-based sourcing recommendation.
High-Cost Critical Category to Resilient Sourcing Strategy
Cost Drivers → Supplier Market → Current Supplier Risk → Should-Cost → Alternate Suppliers → Negotiation Strategy → TCO → Resilience Plan
Participants use AI to analyse a high-cost critical category, identify pricing and supply-risk drivers, evaluate alternative suppliers, build negotiation scenarios, and create a balanced cost-and-resilience sourcing strategy.
Related programmes
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- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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