NLP Customer Feedback Automation Web App

Vrinsoft Built an NLP-Powered Web App to Automate Customer Feedback Analysis for a Global Service Provider

Platform
Website
Industries
Customer Service / SaaS
Technology
Python NLP React.js MongoDB AWS

About Project

A global service provider wanted to eliminate manual efforts in analyzing customer reviews collected from various channels. They needed a smart web-based system that could read, categorize, and interpret large volumes of customer feedback using natural language processing. Vrinsoft developed a robust application that processes user reviews in real-time, filters key sentiments, and offers actionable insights to improve services and client communication.

Key Features

NLP-Based Sentiment Analysis

Detects and classifies reviews as positive, negative, or neutral.

Multi-Source Feedback Collection

Integrates data from email, website forms, and social platforms.

Real-Time Dashboard

Displays live insights, review summaries, and trend indicators.

Keyword Extraction

Highlights frequent terms and recurring topics in feedback.

Admin Panel

Manages user roles, permissions, and data views.

Exportable Reports

Generates detailed PDF/CSV reports for internal review.

Working with Vrinsoft was a smooth experience. They understood our requirements clearly and translated them into a product that saves us hours every week. The automated sentiment tagging and keyword analysis gave us the edge we were missing. We’re now able to act faster on feedback and fine-tune our services with confidence.

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