Role-Based Programme
RB1594

AI-Powered Supplier Quality Management

Supplier Performance, Quality Analytics & Corrective Action

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

Programme Objectives

  • Apply AI across supplier qualification, quality monitoring, defect analysis, audits, corrective action, and supplier performance reviews.
  • Use AI to analyse supplier quality data, inspection results, non-conformities, complaints, audit findings, and CAPA records.
  • Improve supplier scorecards, quality trend analysis, risk identification, and performance reporting.
  • Build structured AI-assisted workflows for supplier issues, corrective-action follow-up, and escalation.
  • Apply responsible AI practices while maintaining data accuracy, evidence traceability, procurement boundaries, and human quality oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisSupplier Quality AnalyticsRoot Cause Analysis ToolsCAPA Tracking ToolsQuality DashboardsWorkflow Automation

Who should attend

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

Prerequisites & Participant Readiness

  • Working knowledge of supplier quality, Quality Management, procurement, manufacturing, or vendor management
  • Familiarity with supplier evaluations, inspections, defects, audits, non-conformities, or corrective actions
  • Basic proficiency with spreadsheets, documents, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, quality analytics, Document AI, and workflow automation
  • Mapping AI opportunities across supplier qualification, monitoring, audits, and CAPA
  • Understanding AI assistance versus supplier-quality and procurement judgement
Practical activities
  • Mapping a current Supplier Quality workflow and identifying AI opportunities
  • Comparing manual and AI-assisted supplier-quality activities

Scenarios

Supplier Defect to Corrective Action Closure

Incoming Defect → AI Classification → Evidence Review → Root Cause Analysis → Supplier Corrective Action → CAPA Tracking → Effectiveness Review → Closure

Participants use AI-assisted techniques to investigate a simulated supplier-quality issue, analyse evidence, structure the root cause, evaluate corrective actions, and track closure.

Supplier Portfolio to Quality Improvement Plan

Supplier Scorecards + Defect Data + Audit Findings + CAPA Status → AI Analysis → Supplier Risk Ranking → Improvement Priorities → Management Review

Participants analyse supplier-quality information to identify recurring issues, prioritise supplier-development needs, and prepare a structured quality-improvement plan.

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