Role-Based Programme
RB1383
AI for Procurement & Vendor Management
Advanced Sourcing Intelligence, Supplier Optimisation & Procurement Transformation
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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development
Programme Objectives
- Develop advanced capability to apply AI across sourcing, purchasing, category management, supplier management, contracting, procure-to-pay, risk, and procurement analytics.
- Use AI-assisted analysis to identify spend opportunities, supplier risks, cost drivers, process inefficiencies, compliance gaps, and value-creation opportunities.
- Apply AI to supplier discovery, RFx processes, quotation analysis, category strategy, negotiation, contract management, supplier performance, and operational workflows.
- Use AI-assisted analytics to improve procurement speed, commercial outcomes, supplier resilience, compliance, cost efficiency, and management visibility.
- Build responsible AI-enabled Procurement and Vendor Management workflows with strong confidentiality, validation, fairness, auditability, governance, and human oversight.
Tools covered
Generative AI AssistantsAI Search & ResearchSpend AnalyticsStrategic Sourcing IntelligenceSupplier IntelligenceCategory AnalyticsContract IntelligenceProcure-to-Pay AnalyticsSupplier Risk AnalysisCost & TCO AnalysisProcurement Performance DashboardsDecision-Support ToolsWorkflow AutomationAI AgentsResponsible AI Governance
Who should attend
- Procurement Managers
- Procurement Heads
- Strategic Sourcing Managers
- Category Managers
- Purchasing & Buying Professionals
- Vendor Managers
- Supplier Relationship Managers
- Contract & Commercial Managers
- Procure-to-Pay Managers
- Procurement Analysts
- Spend & Cost Analysts
- Supplier Risk Professionals
- Procurement Excellence Professionals
- Procurement Transformation Professionals
- Leaders Responsible for Procurement & Vendor Management
Prerequisites & Participant Readiness
- Experience in procurement, sourcing, purchasing, category management, supplier management, contracting, or procure-to-pay operations
- Familiarity with suppliers, spend, RFx processes, contracts, procurement KPIs, and commercial decision-making
- Basic awareness of Generative AI and common business applications
- Comfort working with procurement, supplier, commercial, risk, and performance data
- No programming knowledge required
TOC Modules
Concepts
- Understanding Generative AI, reasoning models, research, analytics, automation, and AI agents
- Exploring AI applications across sourcing, procurement operations, suppliers, contracts, and analytics
- Distinguishing AI-assisted procurement decisions from autonomous commercial decisions
- Understanding hallucinations, confidentiality, supplier-data sensitivity, bias, and human accountability
Practical activities
- Mapping AI opportunities across the end-to-end procurement lifecycle
- Identifying activities suitable for augmentation, automation, or continued human ownership
- Creating an enterprise Procurement AI opportunity map
Scenarios
Fragmented Procurement Landscape to AI-Enabled Procurement Transformation
Spend Data → Category Opportunities → Supplier Market → Sourcing → Cost Analysis → Contracting → Supplier Performance → Automation → Value Tracking
Participants use AI to analyse fragmented procurement activity, identify sourcing and cost opportunities, improve supplier and contract management, and create an integrated procurement transformation roadmap.
High Supplier Dependency & Rising Costs to Resilient Procurement Strategy
Supplier Portfolio → Spend Exposure → Market Intelligence → Cost Drivers → Supplier Risk → Alternate Sources → Negotiation → Resilience → Executive Dashboard
Participants use AI to assess supplier concentration and rising procurement costs, identify commercial and continuity risks, evaluate alternative strategies, and create a balanced procurement model focused on value, resilience, and responsible AI adoption.
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Instructor-ledVirtualHybrid
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