Every Review, Read.
Every Pattern, Surfaced.
AI that turns thousands of scattered product reviews into the three things that matter — what customers love, what they complain about, and what to fix next.
Current Situation
Reviews live across Amazon, Flipkart, the brand’s own site, and social. The team reads samples, pulls anecdotes for the next campaign, and misses the recurring complaint that’s driving twenty per cent of returns. By the time anyone catches the pattern, the next quarter’s product launch is already locked.
The cost isn’t just missed insight. It’s product fixes that ship a quarter too late, marketing campaigns built on the wrong customer voice, and a brand team that can’t answer the CEO’s question: ‘what are customers actually saying about us?’
What Reviewlens Does
ReviewLens reads every review across every channel, parses sentiment, complaint type, and improvement signal at the SKU level, and delivers the patterns the brand team needs to act on — every week, in plain language, ranked by impact.
Cross-Channel Review Aggregation
Amazon, Flipkart, your D2C site, app stores, and social reviews pulled together into one view — so the brand sees the full customer voice, not whichever channel happened to be checked.
Theme & Complaint Extraction
Recurring themes — fit, quality, packaging, delivery, ingredient, instruction — extracted automatically and ranked by frequency and sentiment intensity.
SKU-Level Intelligence
Every review tied back to the SKU it’s about — so the product manager sees what’s wrong with the new launch and what’s driving the hero product, separately.
Improvement Signal Prioritisation
The top complaints scored by their likely impact on returns, conversion, and repeat purchase — so the product team knows which fix moves the needle and which is noise.
How It Works
No spreadsheet of review screenshots. No once-a-quarter sample read. No missed pattern.
Amazon S3
Call recordings land in Amazon S3 the moment they are uploaded.
Amazon Transcribe
Amazon Transcribe converts the audio into accurate, speaker-attributed text.
Amazon Comprehend
Amazon Comprehend analyses sentiment, intent, and key entities across the conversation.
AWS Lambda
AWS Lambda orchestrates the pipeline and delivers a structured report within seconds of the call ending.
Why It Holds Up
Deployed in your AWS account
ReviewLens runs inside your own AWS environment. Customer review data and brand intelligence never leave your infrastructure.
Data resident in AWS Mumbai
All review data, analysis, and intelligence reports processed and stored in the AWS Mumbai region, protecting your competitive intelligence.
Multi-language ready
Reads English, Hinglish, Hindi, and major regional languages — because real customer reviews don’t arrive in clean English, and a tool that misses non-English reviews misses half the signal.
Marketplace- and platform-flexible
Pulls reviews from Amazon, Flipkart, Myntra, Nykaa, your own site, app stores, and major social platforms — so the brand sees the customer voice wherever it appears.
Designed for the brand team, not the data team
Outputs built for product managers, brand managers, and CX leaders — ranked, prioritised, and tied to actions, not raw sentiment scores or wordclouds.
BUILT FOR
Brand Managers, Product Heads, and CX leaders at D2C brands, omnichannel retailers, and consumer goods companies —
Where conversion rate, return rate, and the next launch depend on hearing what customers are actually saying.
