FastTL · E-commerce Intelligence
Product Return Risk Analyzer
Find recurring return causes, improve listings, and prioritize preventable returns using your own data.
0Unique product rows
—Returned ÷ orders
0Based on supplied evidence
—Scenario estimate, not a promise
1. Import return data
CSV columns supported: product, orders, returns, return_rate, return_reason, complaints, description, size_chart, unit_cost, return_cost, currency, preventable_share. Maximum 2 MB and 2,000 rows.
CSV is parsed in your browser; it is not uploaded to WordPress storage.
2. Add a product manually
Return intelligence overview
Metrics are computed only from supplied rows. Empty or inconsistent data is not guessed.
Add products manually or import a CSV, then select Analyze data.
Product risk assessment
| Product | Return rate | Risk score | Evidence | Priority |
|---|---|---|---|---|
| No data analyzed yet. | ||||
Return reason clusters
Clusters appear after analysis.
Risk distribution
No data available.
Preventable return opportunities
Opportunities appear when evidence supports them.
AI listing improvement
Local recommendations use evidence keywords. Optional Gemini adds language-model analysis.
Gemini is optional and may require an API key configured by the site administrator.
Run analysis to generate recommendations.
Risk score is a prioritization index, not a calibrated probability. Return rate is only calculated when order and return counts are valid. Estimated preventable costs depend on user-entered assumptions.