0%
faster complaint detection
0%
reduction in manual feedback monitoring
0%
improvement in response time to negative reviews
0%
automated weekly reporting
0%
improvement in issue identification accuracy
PROJECT OVERVIEW
Monitoring customer feedback manually is inefficient and often leads to delayed complaint resolution. Businesses struggle to identify urgent issues, track sentiment trends, and generate performance reports without significant manual effort.
To solve this, we developed an AI-Powered Customer Feedback Automation System using n8n, integrated with Google Sheets and Google Gemini.
The entire process runs without manual monitoring.
Objectives
- Automate customer feedback collection and analysis
- Detect negative or urgent complaints instantly
- Reduce response time to critical issues
- Generate structured weekly sentiment reports
- Provide actionable customer insights
- Eliminate manual feedback monitoring
The Challenge
Traditional feedback monitoring faces several issues:
Businesses needed a smart system capable of real-time monitoring and automated reporting.
THE SOLUTION ARCHITECTURE (HOW DOES IT WORK?)
We built a structured automation workflow inside n8n that integrates AI sentiment analysis and automated reporting.
How does it work?
Step 1: Customer Feedback Submission
- Customer fills out a feedback form with:
- Form submission triggers the workflow
Name
Email
Rating (1–5)
Feedback comment
Step 2: Store Feedback Data
- Feedback automatically appended to Google Sheets
- Maintains centralized data storage
Step 3: Data Formatting
- Text normalized (lowercase conversion)
- Fields structured for AI processing
Step 4: AI Analysis
- Google Gemini analyzes feedback
- Extracts:
Sentiment (Positive / Neutral / Negative)
Urgency (Low / Medium / High)
Main Issue (Quality, Price, Delivery, etc.)
Short summary
Step 5: Complaint Detection & Escalation
- IF condition checks:
- If true → Instant alert email sent via Gmail
- Enables real-time complaint escalation
Sentiment = Negative
OR Urgency = High
Step 6: Weekly Report Automation
- Scheduled trigger runs every Sunday
- Fetches all feedback from Google Sheets
- JavaScript Code Node calculates:
Total feedback count
Positive, Neutral, Negative counts
Sentiment percentages
Most common issue
Step 7: Weekly Email Report
- HTML-formatted report sent via Gmail
- Includes:
- Overall feedback performance
Sentiment distribution
Percentage breakdown
Most recurring issue
Technology Stack Included
Key Benefits
Real-time complaint detection
Automatic escalation of urgent feedback
AI-based sentiment classification
Fully automated weekly reporting
No manual monitoring required
Data-driven business insights
Improved customer response time
Scalable and customizable workflow
The Solution Is Ideal For
Download The Case Study
You’re one step away from building great software. This case study will help you learn more about how BMV System Integration helps successful companies extend their tech teams.
Enter Your Detail
Closure
The Customer Feedback Automation System demonstrates how AI and workflow automation can transform reactive customer service into proactive issue management.
By leveraging n8n for orchestration and Google Gemini for intelligent sentiment analysis, we built a scalable solution that monitors feedback in real time, escalates urgent complaints automatically, and generates actionable performance reports.
This architecture enables faster resolution, improved customer satisfaction, and data-driven decision-making without increasing manual workload.
