Overview

With the number of sellers and products significantly increasing on Amazon, our shoppers today rely heavily on reviews, seller reputation, and product comparisons to make informed decisions.

However, user research shows that Amazon customers often feel overwhelmed by:

• Noisy, repetitive, and questionable reviews
• Multiple near-identical listings from various different sellers
• Difficulty understanding which seller or product to trust

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This leads to decision fatigue, slower conversions, and reduced confidence during discovery.

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To address this, we introduce a three-part system:

1. Reviews Quality Snapshot: Quick AI-generated summary of all product reviews
2. Confidence Meter (Trust Score): Provide an instant clarity signal
3. Quick Compare (AI + User-Controlled): Reduce tab-hopping & comparison fatigue

Together, these features rebuild trust and simplify buying decisions across key categories. Behind the scenes, they will be powered by ARIS (Amazon Review Integrity System) engine, an AI based system that will clean up and enhance the review ecosystem.

Problem Statement

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Users are struggling to confidently evaluate product quality during discovery because the current review experience feels noisy, repetitive, and hard to trust. This leads to longer decision times, mental fatigue, and drop-offs before purchase.

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Goals

Business Goal

Increase discovery-to-purchase conversion rate by ~12-15% in high-anxiety categories (fashion, kids, home/kitchen).

User Goal

Enable shoppers to reach a confident decision within 3-5 minutes, without scrolling through noisy reviews or opening multiple tabs (website)/bouncing back-and-forth between product pages (app)