Analyze returns and reviews to rank complaints

This template installs an agent that turns scattered customer signals into a clear, ranked list of what to fix first. It is built for ecommerce founders and operators who know complaints are piling up across returns, reviews and support, but do not have time to read through all of it every week.

What it does

The agent pulls together returns, refunds, product reviews and support tickets, then finds the real reasons behind customer disappointment. It groups issues by product, detects recurring causes and compares periods so you can see what is getting worse and what is improving. Every week it delivers a report of the priority complaints, along with draft corrections you review before anything goes out.

• Classifies products and pinpoints the causes behind returns and negative feedback
• Compares time periods to surface trends and new problems
• Ranks complaints so the highest impact issues come first
• Prepares draft fixes submitted for your validation

How it works

During setup, the agent configures your voice of customer sources and imports data from your connectors or from files: commerce records, reviews, support exchanges, product pages and emails. It normalizes everything into one consistent view before analyzing.

Once running, it works on a weekly schedule, every Monday morning, producing the report and the drafted corrections without being asked. You can also trigger an analysis on demand at any time, covering the whole catalog or a specific product and a custom date range. The result is a steady, repeatable read on what your customers are unhappy about and what to do about it.