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E-commerce Smart Review Manager

AI Review Monitoring & Sentiment Response for Online Stores

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// 01 · overview

Project Overview

An AI-powered review management system that continuously monitors incoming customer reviews, scores their sentiment, summarises the feedback, archives everything in a central database, and escalates negative reviews to the support team in real time.

// 02 · problem

Business Problem

E-commerce businesses struggle to monitor customer reviews across multiple platforms. Negative feedback often goes unnoticed, delaying customer support and impacting brand reputation.
// 03 · architecture

Solution Architecture

Built an AI-powered review monitoring workflow using n8n, Google Gemini AI, Google Sheets, and Telegram. The system automatically detects new customer reviews, performs AI sentiment analysis, identifies negative ratings, generates concise summaries, updates the review database, and instantly alerts the support team via Telegram for rapid response.

Ingestion layer

New reviews are pulled in continuously and normalised into clean JSON records.

Intelligence layer

Google Gemini AI scores sentiment, flags negative ratings, and writes short summaries.

Automation layer

n8n routes each review to the Sheets archive and triggers Telegram escalations.

// 04 · workflow

Workflow Steps

  1. step 01

    Trigger

    The workflow runs on schedule or fires instantly from a new-review webhook.

  2. step 02

    Detect new review

    Fresh customer reviews are captured and de-duplicated against the database.

  3. step 03

    AI sentiment analysis

    Gemini AI classifies the review as positive, neutral, or negative with a confidence score.

  4. step 04

    Flag negative ratings

    Low ratings and negative sentiment are routed to the priority escalation branch.

  5. step 05

    Generate summary

    A concise AI summary captures the core complaint or praise in one line.

  6. step 06

    Update review database

    Review text, rating, sentiment, and summary are written to Google Sheets.

  7. step 07

    Alert support via Telegram

    The support team receives an instant alert with the summary and review link.

  8. step 08

    Completed

    The record is closed out and the workflow waits for the next incoming review.

// 05 · capabilities

Key Features

  • Automated Review Monitoring
  • AI Sentiment Analysis
  • Negative Rating Detection
  • Concise AI Summaries
  • Google Sheets Review Database
  • Instant Telegram Support Alerts
  • Multi-Platform Review Ingestion
  • Structured JSON Processing
  • Real-time Workflow Automation
  • No-Code AI Pipeline
// 06 · stack

Technologies Used

n8nGoogle Gemini AIGoogle SheetsTelegramAI Sentiment AnalysisJSONREST API
// 07 · impact

Business Impact

  • 99.9% review monitoring automation
  • Negative feedback surfaced within minutes
  • Faster customer support response times
  • Protected brand reputation
  • Central, always-current review database
  • Zero manual review tracking
// 08 · roadmap

Future Improvements

AI reply drafting

Auto-generate on-brand responses for the support team to approve.

More review sources

Extend ingestion to Amazon, Trustpilot, Google Business, and Shopify.

Sentiment analytics dashboard

Trend product sentiment over time and by SKU.

Ticket system integration

Open a support ticket automatically for every critical review.

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