Analyze Amazon customer reviews with unsupervised AI. Automatically extract themes, urgency markers, and sentiment trends, so you know exactly what’s driving buyer decisions.
Amazon customer reviews are one of the richest sources of unsolicited consumer feedback. However, without structure and the elimination of bias and fake reviews, they’re just noise. This integration bridges that gap by automatically extracting structured insights from unstructured review text.
Uncover why customers love, return, or regret purchases, no manual tagging needed.
Prioritize based on the intensity of complaints or urgency signals.
Identify whether an issue is brand-specific or ecosystem-wide.
Detect anger, delight, confusion, even when not explicitly stated.
SKU and attribute drill-downSlice insights by product features, variant, or fulfillment method.
Remove review spam or irrelevant praise and blame to focus on truth signals.
See how customers respond to packaging, durability, sizing, and value, at scale.
Scrape and compare reviews across competitive listings to spot market opportunities and white space.
Layer insights from Amazon with other D2C reviews, social comments, or survey data for a 360° view of customer buying behavior.
Capture and rank feature requests from customer voices without manual data sifting.