Role-Based Programme
RB1374

AI for Spend Analysis & Cost Optimisation

Spend Intelligence, Savings Opportunities & Cost Efficiency

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for spend analysis, cost visibility, supplier-spend intelligence, and savings opportunity identification.
  • Apply AI to analyse procurement spend by supplier, category, business unit, geography, period, and transaction type.
  • Use AI to identify fragmented spend, price variances, demand inefficiencies, supplier consolidation opportunities, and cost drivers.
  • Strengthen cost-optimisation decisions through structured opportunity sizing, scenario analysis, prioritisation, and benefit tracking.
  • Apply responsible AI practices related to financial data, supplier pricing, commercial confidentiality, assumptions, accuracy, and human validation.

Tools covered

Generative AI AssistantsAI Search & ResearchSpend Data AnalysisSpend ClassificationSupplier Spend AnalysisCost Driver AnalysisPrice Variance AnalysisSavings Opportunity IdentificationDemand AnalysisScenario ModellingProcurement AnalyticsExecutive Summarisation

Who should attend

  • Spend Analysis Managers
  • Procurement Analysts
  • Spend Analysts
  • Cost Optimisation Professionals
  • Procurement Managers
  • Category Managers
  • Strategic Sourcing Professionals
  • Commercial Analysts
  • Procurement Finance Professionals
  • Purchasing Analysts
  • Supplier Management Professionals
  • Business Operations Analysts
  • Procurement Operations Professionals
  • Cost Management Professionals
  • Procurement & Vendor Management Leaders

Prerequisites & Participant Readiness

  • Experience in procurement, sourcing, category management, purchasing, finance, or commercial analysis
  • Familiarity with procurement spend, supplier data, pricing, categories, and cost-management concepts
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret procurement and financial data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across spend analysis, cost intelligence, opportunity identification, and reporting
  • Understanding how AI complements ERP, procurement, BI, and spend-analytics platforms
  • Recognising hallucinations, calculation errors, and unsupported savings claims
Practical activities
  • Mapping the spend-analysis lifecycle to practical AI applications
  • Identifying high-value versus high-risk cost-analysis use cases
  • Comparing traditional and AI-assisted spend workflows

Scenarios

Fragmented Spend to Savings Opportunity Pipeline

Spend Data → Data Cleansing → Category Analysis → Supplier Fragmentation → Price Variance → Savings Levers → Opportunity Sizing → Prioritised Savings Pipeline

Participants use AI to analyse a simulated procurement-spend dataset, identify fragmentation and pricing inconsistencies, quantify potential opportunities, and create a prioritised savings pipeline.

Rising Procurement Cost to Cost Optimisation Strategy

Cost Trend → Spend Analysis → Cost Drivers → Demand Review → Supplier Mix → Scenario Modelling → Savings Initiatives → Management Roadmap

Participants use AI to investigate a simulated increase in procurement costs, identify major cost drivers, evaluate demand and supplier options, and develop a structured cost-optimisation roadmap.

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