AI-Powered QMS for Complaint Management
Vaibhav Kumar
AIVOA.AI – AI-Powered QMS Customer Complaint Management System
AIVOA.AI is a full-stack Quality Management System (QMS) designed to simplify and automate customer complaint handling in pharmaceutical manufacturing (API & FDF). Instead of manually entering complaint details from emails, PDFs, or call notes, the platform uses Generative AI to extract, organize, and validate information automatically.
Built with FastAPI, React, LangGraph, and Groq Llama 3.3 70B, the application reduces manual data entry, improves accuracy, and speeds up complaint registration while supporting quality and regulatory workflows.
Features
AI Complaint Logging
Extracts structured complaint details from natural language.
Automatically identifies fields such as:
Complainant Name
Product Name
Batch Number
Complaint Date
Quantity Affected
Complaint Source
Issue Description
AI Complaint Editing
Updates only the requested fields using conversational commands.
Preserves the remaining complaint information without overwriting existing data.
Document Extraction
Upload and process PDF, DOCX, TXT, or EML files.
Automatically extracts complaint information and populates the complaint form.
Smart Validation
Real-time complaint completeness checker.
Ensures required fields are filled before submission.
Risk Classification
Automatically categorizes complaints based on severity.
Assigns response priority to help quality teams act faster.
AI Root Cause Analysis
Generates preliminary root cause suggestions based on complaint details.
CAPA Suggestions
Recommends corrective and preventive actions to support investigation.
Duplicate Complaint Detection
Detects existing complaints with the same Product Name and Batch Number before saving.
Tech Stack
Frontend
React 18
Redux Toolkit
Tailwind CSS
Vite
Lucide React
Backend
Python 3.10+
FastAPI
SQLAlchemy
Pydantic v2
AI
LangGraph
LangChain
Groq API
Llama 3.3 70B Versatile
Database
SQLite
MySQL (Supported)
Sample Prompts
Complaint Registration
Future Improvements
User authentication and role-based access
Audit trail for complaint history
Email notification workflow
Dashboard with complaint analytics
Support for PostgreSQL and Microsoft SQL Server
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Posted Aug 5, 2026
Developed an AI-powered QMS to automate complaint handling in pharma manufacturing.
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