Role-Based Programme
RB1359

AI for Vendor & Supplier Management

Advanced Supplier Intelligence, Performance Optimisation & Risk Management

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

Programme Objectives

  • Develop advanced capability to apply AI across supplier onboarding, performance management, relationship governance, risk monitoring, development, and renewal decisions.
  • Use AI-assisted analysis to identify supplier performance gaps, delivery risks, quality issues, dependency exposure, contractual deviations, and improvement opportunities.
  • Apply AI to supplier scorecards, SLA monitoring, risk assessments, business reviews, corrective actions, relationship planning, and supplier development.
  • Use AI-assisted analytics to improve supplier reliability, quality, responsiveness, cost effectiveness, resilience, and management visibility.
  • Build responsible AI-enabled Vendor and Supplier Management workflows with strong confidentiality, governance, validation, fairness, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchSupplier IntelligenceSupplier Performance AnalyticsVendor ScorecardsSupplier Risk AnalysisContract & SLA AnalysisSupplier SegmentationCost & Value AnalysisRelationship ManagementCorrective Action TrackingSupplier DevelopmentWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Vendor Managers
  • Supplier Managers
  • Supplier Relationship Managers
  • Procurement Managers
  • Supplier Performance Managers
  • Vendor Management Professionals
  • Supplier Development Managers
  • Category Managers
  • Strategic Sourcing Professionals
  • Procurement Analysts
  • Commercial Managers
  • Third-Party Management Professionals
  • Supplier Quality Professionals
  • Procurement Excellence Professionals
  • Leaders Responsible for Vendor & Supplier Performance

Prerequisites & Participant Readiness

  • Experience in vendor management, supplier management, procurement, sourcing, category management, or commercial operations
  • Familiarity with supplier contracts, SLAs, performance reviews, scorecards, risks, and corrective actions
  • Basic awareness of Generative AI and common business applications
  • Comfort working with supplier, commercial, quality, risk, and performance information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, analytics, automation, and AI agents
  • Exploring AI applications across supplier performance, risk, relationships, and governance
  • Distinguishing AI-assisted supplier management from autonomous vendor decisions
  • Understanding hallucinations, commercial confidentiality, bias, and human accountability
Practical activities
  • Mapping AI opportunities across the supplier-management lifecycle
  • Identifying activities suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for Vendor and Supplier Management teams

Scenarios

Underperforming Strategic Supplier to Performance Recovery Plan

Supplier Scorecard → SLA Gaps → Quality Issues → Delivery Failures → Root Cause → Corrective Actions → Governance Review → Recovery KPIs

Participants use AI to analyse a strategic supplier with recurring performance issues, identify root causes and contractual gaps, and create a structured supplier recovery and performance-management plan.

High Supplier Dependency to Risk & Resilience Strategy

Supplier Portfolio → Criticality → Dependency → Risk Signals → Alternate Sources → Contingency Actions → Supplier Development → Executive Dashboard

Participants use AI to assess supplier concentration and dependency risks, identify critical exposures, evaluate mitigation options, and create a supplier resilience and governance strategy.

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