Complaint Management

Last updated 2026.02.13
고객 불만 관리Complaint Management품질 관리Quality ManagementNLP예측 분석Predictive Analytics근본 원인 분석Root Cause Analysis

Definition

Complaint Management is a systematic process of collecting, analyzing, resolving, and preventing recurrence of customer complaints related to product defects, delivery delays, quality issues, etc. In manufacturing, it serves as a core activity for quality improvement and customer satisfaction enhancement, utilizing complaint data as valuable feedback for manufacturing process improvement.

Application in Manufacturing

Traditional Complaint Management

  • Manual recording and classification: Complaint intake via customer service, email, phone
  • Root cause analysis: Quality team analyzes defective products and traces production history
  • Corrective actions: Process improvements, work instruction revisions, preventive measures
  • Customer response: Handling exchanges, refunds, compensation

AI-Powered Complaint Management

  • Automatic classification system: NLP-based auto-categorization by complaint type, severity, and responsible department
  • Predictive analytics: Early detection of potential quality issues through complaint pattern analysis
  • Root cause tracing: Identification of defect-generating process/time by linking with production data
  • Real-time alerts: Automatic warnings when complaints surge for specific batches or product lines

Key Points

Integration with manufacturing processes is critical. AI integrates complaint data with MES and QMS to trace back the exact time, equipment, operator, and raw material batch that produced defective items. For example, when an automotive parts manufacturer experiences increased paint defect complaints, AI analyzes coating line temperature, humidity, and supplier data from that period to identify root causes. This enables a paradigm shift in quality management from reactive response to proactive prevention.