Preserve evidence before generating insights
Record the sampling scope, actual review count, duplicate rate, source and page anomalies before producing a summary.
Sample products across price, volume and specification groups, collect review text, clean duplicates and analyze product quality, packaging, fulfillment and service issues. Every conclusion can link back to source evidence.

Record the sampling scope, actual review count, duplicate rate, source and page anomalies before producing a summary.
Classify capacity, performance, materials and durability separately from packaging damage, shipping delays and after-sales service.
A pain point should include its frequency, affected-product count, representative evidence and trend so teams can prioritize product changes.
Review records stay in the app-specific local database unless the user exports or sends them to a configured external service. Sharing the app does not copy the local database.
It collects review text and the minimum product, review and source identifiers needed for deduplication and evidence lookup, within the user's authorized access.
Pain points and recommendations must reference source reviews and products. Strong conclusions are not produced when valid evidence is missing.
No. App distribution shares the application, not another user's local database.