Introduction:
Snapdeal is an Indian online marketplace founded in 2010, offering electronics, fashion, and household products. It helps small and medium businesses reach customers nationwide.
Customer:
Snapdeal
Industry:
E-commerce
Services Used
- Amazon S3
- Amazon Bedrock
- AWS Lambda
- AWS DynomaDB
- GuardDuty
- CloudTrail
- KMS
- AWS IAF
Business Challenge
- Millions of unstructured product reviews overwhelmed buyers with information – increasing cart abandonment & reducing
conversion rates - Manual summarization & translation was slow, inconsistent, and expensive – burning ops budget & delaying insights to sellers
- No real-time sentiment visibility across product categories – leaving sellers blind to buyer intent & costing Snapdeal conversions
Solution Implemented
- Amazon Bedrock-powered summarization engine converting 1M+ reviews per product into decisionready insights in under a minute
- Automated pipeline eliminating manual summarization & translation – processing 3000+ products per run with zero human intervention
- AI-driven sentiment analysis & keyword extraction converting reviews into actionable insights – driving 90-95% uplift in conversion
Business Impact
Frequently Asked Questions
Snapdeal had millions of unstructured product reviews that overwhelmed buyers with information, increasing cart abandonment and reducing conversion. Manual summarization and translation of reviews was slow, inconsistent, and expensive, burning operational budget and delaying insights to sellers. Sellers also had no real-time sentiment visibility across product categories, leaving them blind to buyer intent.
Rapyder built an Amazon Bedrock-powered summarization engine that converts over 1 million reviews per product into decision-ready insights in under a minute. It uses AI-driven sentiment analysis and keyword extraction to turn raw reviews into actionable insights, and runs as an automated pipeline that eliminates manual summarization and translation entirely.
The automated pipeline processes 3,000+ products per run with zero human intervention.
The engine analyzes over 1 million reviews per product and delivers insights in under a minute.
It drove a 90–95% uplift in conversion rate and buyer engagement, fast per-product review analysis, and fully automated product processing with no manual work required.
