Customer Review Analysis and Response

Easy~6h estimatedE-commerceRetailSaaS
Shopify MCP ServerSlack MCP Server
The Challenge

Business Problem

Product teams miss valuable feedback buried in thousands of reviews. Negative reviews go unanswered, damaging brand reputation and losing customers who might have been saved.

The Approach

Solution Overview

Connect Shopify MCP Server with Slack to monitor new reviews, analyze sentiment, extract common themes, and draft personalized responses for the support team.

Step-by-Step

Implementation Steps

1

Monitor Reviews

Set up polling to detect new reviews across Shopify, Amazon, and social media.

2

Analyze Sentiment

Classify reviews as positive, neutral, or negative and extract key themes.

3

Generate Response Drafts

For negative reviews, generate empathetic response drafts addressing the specific issue.

async function processReview(review) {
  const sentiment = analyzeSentiment(review.body);
  const themes = extractThemes(review.body);
  if (sentiment === 'negative') {
    const draft = generateResponse(review, themes);
    await slack.sendMessage({
      channel: '#review-responses',
      text: `⭐ ${review.rating}/5 from ${review.author}\nThemes: ${themes.join(', ')}\n\nDraft response: ${draft}`
    });
  }
}
4

Weekly Insights Report

Generate a weekly summary of review trends, common issues, and sentiment shifts.

Code

Code Examples

typescript
Theme Extractor
function extractThemes(reviewText) {
  const themes = [];
  if (reviewText.match(/shipping|delivery|late/i)) themes.push('shipping');
  if (reviewText.match(/quality|broken|defective/i)) themes.push('product-quality');
  if (reviewText.match(/price|expensive|value/i)) themes.push('pricing');
  return themes;
}

Overview

ComplexityEasy
Estimated Time~6 hours
Tools Used
Shopify MCP ServerSlack MCP Server
Industry
E-commerceRetailSaaS

ROI Metrics

Time Saved15 hours/week
Cost Reduction2x faster review response
Efficiency Gain100% of negative reviews addressed

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