Role-Based Programme
RB1593

AI-Powered Supplier Quality Management

Smarter Supplier Evaluation, Quality Control & Performance Improvement

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Apply AI across Supplier Quality Management activities including supplier evaluation, quality monitoring, inspection review, non-conformance management, and reporting.
  • Use AI-assisted techniques to analyse supplier records, inspection data, defect information, audit findings, and performance trends.
  • Develop structured workflows for supplier qualification, quality issue investigation, corrective-action follow-up, and performance review.
  • Improve visibility into supplier defects, recurring quality issues, delivery-quality performance, and corrective-action status.
  • Apply responsible AI practices covering data accuracy, supplier confidentiality, evidence validation, traceability, and human judgement.

Tools covered

Generative AI AssistantsSupplier Quality AnalyticsDocument IntelligenceSpreadsheet AnalysisSupplier Evaluation SupportNon-Conformance AnalysisCAPA TrackingQuality ReportingWorkflow Automation

Who should attend

  • Supplier Quality Managers
  • Supplier Quality Engineers
  • Quality Managers
  • Quality Assurance Professionals
  • Quality Control Professionals
  • Supplier Development Professionals
  • Procurement Quality Professionals
  • Vendor Quality Professionals
  • Incoming Quality Professionals
  • Quality Engineers
  • CAPA Coordinators
  • Supplier Performance Analysts
  • Procurement Professionals
  • Quality Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of supplier, procurement, quality, or vendor-management activities
  • Familiarity with supplier evaluation, inspections, defects, audits, or corrective actions is helpful
  • Basic spreadsheet and document skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, and document intelligence in Supplier Quality
  • Identifying AI applications across supplier evaluation, inspection, defects, CAPA, and reporting
  • Understanding AI assistance versus Supplier Quality professional judgement
  • Recognising risks related to inaccurate supplier data and unsupported conclusions
Practical activities
  • Mapping common Supplier Quality activities to AI-assisted opportunities
  • Identifying repetitive analysis and documentation tasks suitable for AI support
  • Creating a simple AI-assisted Supplier Quality workflow

Scenarios

Supplier Defect to Corrective Action Closure

Incoming Defect → AI-Assisted Classification → Supplier Investigation → Root-Cause Review → Corrective Action → Effectiveness Check → Closure

Participants analyse a simulated supplier-quality issue, structure the evidence, review the supplier’s root-cause response, and track corrective actions through effectiveness verification and closure.

Supplier Performance Data to Improvement Plan

Inspection Data + Rejection History + Audit Findings + CAPA Status → AI Analysis → Supplier Risk Themes → Priority Issues → Improvement Actions → Supplier Review

Participants consolidate supplier-quality information, identify recurring issues and high-risk trends, and prepare a structured supplier-performance improvement plan for Quality and Procurement review.

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