CASE STUDY Detail

Automated Customer Complaint Tracking System

Industry
Retail
Technologies
Analytics and Reporting Tools
capabilites
Application Development

Business Impact

Enhanced traceability and transparency of customer complaints

Significant reduction in complaint resolution time from weeks to days

Improved customer satisfaction and loyalty

Increased operational efficiency through automated complaint management

Table of Contents

Business Objective / Goal

To create an end-to-end platform for capturing, classifying, and resolving customer complaints across multiple categories, while improving resolution time, operational visibility, and complaint analytics to support business growth and customer retention.

Solutions & Implementation

  • Built a React-based web application to log, categorize, and track complaints in real time.
  • Implemented automated back-end workflows for complaint routing, escalation, and response management.
  • Integrated analytics and reporting capabilities using Power BI to visualize trends, identify recurring issues, and track resolution KPIs.
  • Designed structured data storage using PostgreSQL to support seamless querying and historical recordkeeping.
  • Enabled automated notifications and escalation triggers, ensuring no complaint goes unresolved or delayed.

Major Technologies Used

  • React – Interactive and responsive front-end interface
  • PostgreSQL – Centralized data repository for complaint records
  • Power BI – Visual analytics and reporting dashboard

Business Outcomes

  • Real-time complaint tracking and escalation improved transparency and accountability
  • Resolution times reduced from weeks to days, significantly improving customer trust
  • Detailed analytics enabled root cause identification, driving proactive improvements in services and products
  • Boosted customer satisfaction and retention through faster responses and clearer communication
  • Streamlined internal processes, empowering support teams with visibility and performance tracking
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