Role-Based Programme
RB1373

AI for Spend Analysis & Cost Optimisation

Smarter Spend Insights, Savings Opportunities & Procurement Value

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support spend analysis and cost optimisation across data classification, supplier analysis, cost-driver review, and savings identification.
  • Apply AI to analyse spend patterns, supplier concentration, price variance, fragmented purchasing, demand trends, and commercial opportunities.
  • Use AI to identify potential savings levers such as consolidation, standardisation, demand management, specification review, and sourcing optimisation.
  • Develop practical skills for spend segmentation, cost analysis, opportunity prioritisation, scenario comparison, and management reporting.
  • Understand responsible AI use, commercial confidentiality, pricing sensitivity, data quality, analytical bias, and human validation in cost-related decisions.

Tools covered

Generative AI AssistantsSpend Data AnalysisSpend Classification SupportSupplier Spend AnalysisCost Driver AnalysisSavings Opportunity IdentificationPrice & Variance AnalysisScenario ComparisonProcurement Performance ReportingCost Optimisation Planning

Who should attend

  • Spend Analysis Managers
  • Spend Analysts
  • Procurement Analysts
  • Cost Optimisation Professionals
  • Procurement Managers
  • Category Managers
  • Strategic Sourcing Professionals
  • Purchasing Managers
  • Commercial Analysts
  • Vendor Management Professionals
  • Supply Chain Analysts
  • Procurement Finance Professionals
  • Procurement Excellence Professionals
  • Procurement & Vendor Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of procurement, purchasing, or spend-management processes
  • Familiarity with supplier, purchase, category, pricing, or spend data is helpful
  • Basic spreadsheet, analytical, and digital-tool skills
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to procurement analytics and cost optimisation
  • Exploring AI support across spend classification, supplier analysis, cost review, opportunity identification, and reporting
  • Distinguishing AI assistance from ERP, spend-analytics, BI, and procurement platforms
  • Understanding AI limitations, hallucinations, numerical errors, and commercial risks
Practical activities
  • Identifying recurring spend-analysis activities suitable for AI assistance
  • Comparing traditional and AI-assisted spend-analysis workflows
  • Mapping AI opportunities across the spend-to-savings lifecycle

Scenarios

Procurement Spend to Savings Opportunity Pipeline

Raw Spend Data → Data Classification → Category & Supplier Analysis → Fragmentation / Variance Review → Savings Levers → Opportunity Estimation → Prioritisation → Management Recommendation

Participants use AI to analyse a sample procurement-spend dataset, identify cost and sourcing opportunities, estimate potential benefits using documented assumptions, and create a prioritised savings pipeline.

Rising Category Cost to Cost Optimisation Plan

Category Spend → Price Trend → Cost Drivers → Supplier Comparison → Demand & Specification Review → Optimisation Options → Savings Scenario → Leadership Summary

Participants use AI to investigate a sample increase in category costs, identify evidence-based cost drivers, compare optimisation options, and prepare a structured cost-reduction plan for procurement and business review.

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