Role-Based Programme
RB1375

AI for Spend Analysis & Cost Optimisation

Advanced Spend Intelligence, Cost Modelling & Procurement Value Creation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across spend analysis, cost modelling, supplier economics, opportunity identification, and procurement value optimisation.
  • Use AI-assisted analysis to identify spend concentration, fragmentation, price variance, demand patterns, supplier dependencies, and cost-reduction opportunities.
  • Apply AI to spend classification, supplier and category analysis, should-cost modelling, total cost of ownership, scenario comparison, and savings prioritisation.
  • Use AI-assisted analytics to improve procurement visibility, commercial decisions, cost efficiency, working-capital awareness, and benefits realisation.
  • Build responsible AI-enabled Spend Analysis and Cost Optimisation workflows with strong data governance, validation, confidentiality, traceability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchSpend AnalyticsData ClassificationSupplier Spend AnalysisCategory AnalysisPrice Variance AnalysisCost Driver AnalysisShould-Cost ModellingTotal Cost of OwnershipSavings Opportunity AnalysisBenefits TrackingWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Spend Analysis Managers
  • Procurement Analytics Managers
  • Cost Optimisation Professionals
  • Procurement Managers
  • Category Managers
  • Strategic Sourcing Managers
  • Procurement Analysts
  • Spend Analysts
  • Commercial Analysts
  • Cost Analysts
  • Strategic Buyers
  • Procurement Excellence Professionals
  • Supplier Management Professionals
  • Procurement Transformation Professionals
  • Leaders Responsible for Procurement Cost & Value

Prerequisites & Participant Readiness

  • Experience in procurement, sourcing, category management, purchasing, spend analytics, or commercial operations
  • Familiarity with spend data, suppliers, categories, purchase prices, budgets, and procurement KPIs
  • Basic awareness of Generative AI and common business applications
  • Comfort working with spreadsheets, procurement data, cost information, and business reports
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, analytics, automation, and AI agents
  • Exploring AI applications across spend visibility, cost analysis, supplier economics, and savings discovery
  • Distinguishing AI-assisted cost analysis from autonomous procurement decisions
  • Understanding hallucinations, data-quality risk, commercial sensitivity, and human accountability
Practical activities
  • Mapping AI opportunities across the Spend Analysis lifecycle
  • Identifying tasks suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for procurement analytics teams

Scenarios

Fragmented Procurement Spend to Cost Optimisation Programme

Raw Spend Data → Data Cleansing → Classification → Supplier Concentration → Price Variance → Demand Patterns → Savings Levers → Initiative Pipeline

Participants use AI to transform fragmented procurement data into an actionable spend baseline, identify supplier and price inefficiencies, and create a prioritised cost-optimisation programme.

Rising Category Costs to AI-Enabled Cost Reduction Strategy

Market & Spend Data → Cost Drivers → Should-Cost → Price Variance → TCO → Scenario Modelling → Negotiation Levers → Benefits Tracking

Participants use AI to diagnose rising procurement costs, identify the major commercial and operational drivers, compare optimisation scenarios, and build a measurable cost-reduction and benefits-realisation plan.

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