Agent 13 · Retail · Review Intelligence

Customer Review Intelligence Agent

Paste raw customer reviews and get back a prioritised product insight report — sentiment classified, themes clustered, issues ranked by frequency, and actions business-ready.

Retail Sentiment Analysis Theme Clustering Insight Report

Review Intelligence · Active

session: ri-0001

Sample reviews:

A13

Review Intelligence

Paste in your customer reviews — one per line or separated by blank lines. I'll classify sentiment, cluster recurring themes, rank issues by frequency, and generate a prioritised product insight report with business-ready recommendations.

Tip: paste 5–20 reviews for the most useful clustering. Press the preset buttons above to try with sample data.

Cloudflare Worker

Claude API

Tokens: 0

Run: 0

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Sentiment Classification

Each review is classified as positive, negative, or mixed — with an overall sentiment breakdown across the full batch surfaced at the top of the report.

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Theme Clustering

Recurring topics — quality, sizing, delivery, customer service — are automatically grouped into named themes ranked by how frequently they appear across reviews.

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Prioritised Actions

The report concludes with the top 2–3 recommended product or operational actions — written in business language, tied directly to the highest-signal findings.

Read the Case Study →