Role-Based Programme
RB1355
AI for Category Management
Advanced Spend Intelligence, Supplier Strategy & Category Value Optimisation
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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development
Programme Objectives
- Develop advanced capability to apply AI across category strategy, spend analysis, supply-market intelligence, supplier management, cost analysis, and value creation.
- Use AI-assisted analysis to identify spend patterns, demand drivers, supplier-market dynamics, cost pressures, sourcing opportunities, and category risks.
- Apply AI to category segmentation, supplier analysis, cost modelling, sourcing strategy, stakeholder alignment, negotiation preparation, and benefits tracking.
- Use AI-assisted intelligence to improve category value, commercial outcomes, supplier resilience, cost efficiency, innovation, and management visibility.
- Build responsible AI-enabled Category Management workflows with strong confidentiality, governance, validation, traceability, and human oversight.
Tools covered
Generative AI AssistantsAI Search & ResearchSpend AnalyticsCategory IntelligenceSupply Market AnalysisSupplier IntelligenceCost Driver AnalysisDemand AnalysisTotal Cost of OwnershipCategory Strategy DevelopmentSupplier Risk AnalysisNegotiation IntelligenceWorkflow AutomationAI AgentsDecision-Support Tools
Who should attend
- Category Managers
- Senior Category Managers
- Procurement Managers
- Strategic Sourcing Managers
- Procurement Category Specialists
- Category Analysts
- Strategic Buyers
- Procurement Analysts
- Supplier Management Professionals
- Commercial Procurement Professionals
- Supply Market Intelligence Professionals
- Procurement Excellence Professionals
- Vendor Management Professionals
- Procurement Transformation Professionals
- Leaders Responsible for Category Strategy & Procurement Value
Prerequisites & Participant Readiness
- Experience in category management, procurement, sourcing, purchasing, supplier management, or commercial operations
- Familiarity with spend analysis, suppliers, sourcing strategies, RFx processes, negotiations, and category reviews
- Basic awareness of Generative AI and common business applications
- Comfort working with spend, supplier, 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 category strategy, spend analysis, supplier intelligence, and commercial decisions
- Distinguishing AI-assisted category management from autonomous procurement decision-making
- Understanding hallucinations, commercial confidentiality, evidence quality, and human accountability
Practical activities
- Mapping AI opportunities across the Category Management lifecycle
- Identifying activities suitable for augmentation, automation, or continued human ownership
- Creating an AI opportunity map for Category Management teams
Scenarios
Fragmented High-Spend Category to Consolidated Category Strategy
Spend Analysis → Demand Patterns → Supplier Base → Supply Market → Cost Drivers → Segmentation → Strategy Options → Sourcing Roadmap
Participants use AI to analyse a fragmented high-spend category, identify consolidation and value opportunities, assess the supplier market, and create a structured category strategy.
Critical Category with Cost Inflation & Supply Risk to Resilience Plan
Market Trends → Cost Drivers → Supplier Exposure → TCO → Risk Analysis → Alternate Sources → Negotiation Levers → Category Action Plan
Participants use AI to analyse a critical category facing cost inflation and supply disruption risk, compare sourcing and commercial options, and build a balanced category strategy focused on value, resilience, and continuity.
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