Role-Based Programme
RB1592

AI-Powered Supplier Quality Management

Smarter Supplier Evaluation, Quality Monitoring & Corrective Action

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Supplier Quality Management across supplier evaluation, incoming quality review, issue analysis, corrective actions, and performance monitoring.
  • Apply AI-assisted techniques to analyse supplier quality records, inspection results, defect data, audit findings, and performance information.
  • Use structured prompting for supplier-quality review, defect analysis, root-cause questioning, corrective-action follow-up, and reporting.
  • Explore AI-supported approaches for identifying recurring supplier defects, quality trends, overdue actions, and higher-risk suppliers.
  • Apply responsible AI practices while maintaining supplier confidentiality, evidence integrity, quality standards, and human judgement.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisSupplier Quality AnalysisRoot-Cause AnalysisCAPA SupportQuality Reporting

Who should attend

  • Supplier Quality Engineers
  • Supplier Quality Executives
  • Supplier Quality Managers
  • Quality Assurance Professionals
  • Quality Control Professionals
  • Procurement Quality Professionals
  • Vendor Quality Professionals
  • Quality Engineers
  • Incoming Quality Professionals
  • Vendor Development Professionals
  • Quality Auditors
  • CAPA Coordinators
  • Procurement Professionals
  • Supplier Quality Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Quality Management, supplier management, or procurement processes
  • Familiarity with supplier inspections, defects, quality records, audits, or corrective actions is helpful
  • Basic computer and spreadsheet skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Supplier Quality Management
  • Identifying AI applications across supplier evaluation, inspection, defect analysis, CAPA, and reporting
  • Understanding AI assistance versus Supplier Quality and engineering judgement
  • Recognising limitations such as incomplete evidence, incorrect assumptions, and unsupported conclusions
Practical activities
  • Mapping a typical Supplier Quality Management workflow
  • Identifying supplier-quality activities suitable for AI assistance

Scenarios

Supplier Defect to Corrective Action

Supplier Defect → AI-Assisted Issue Summary → Evidence Review → Root-Cause Questions → Corrective Action → CAPA Tracking

Participants use AI to structure a sample supplier-quality issue, develop investigation questions, and prepare a corrective-action workflow for authorised review.

Supplier Performance to Quality Review

Inspection Results + Defect Data + CAPA Status → AI Analysis → Recurring Issues → Supplier Comparison → Priority Actions → Management Summary

Participants use AI to analyse sample supplier-quality information, identify recurring concerns, and prepare a concise Supplier Quality Management review.

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