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SaaS Client

App Review Intelligence

NLP-powered review analysis with predictive analytics across 10 languages

27 CDK stacks

10-language i18n

NLP analysisServerless AWS
App review intelligence case study — large-scale sentiment and entity extraction across App Store and Play Store reviews, surfacing actionable themes for product teams

Context

A SaaS company needed to understand user feedback across multiple app stores and languages. Manual review monitoring was inconsistent and missed emerging issues.

Constraint

Reviews arrived in 10 languages across multiple platforms. Emerging issues needed detection before they became trends. Scale had to be serverless.

Intervention

Built an NLP platform on 27 CDK stacks with real-time ingestion, sentiment analysis, topic extraction, and predictive trend detection across 10 languages.

Outcome

Real-time review ingestion, multi-platform coverage, predictive issue detection, 10-language NLP analysis - delivered on serverless AWS.

Architecture

From review ingestion to predictive intelligence

Review Ingestion

Automated collection of app store reviews from Apple App Store, Google Play, and additional platforms. Real-time ingestion pipelines ensure reviews are captured within minutes of posting.

NLP Analysis

Sentiment analysis, topic extraction, and automated categorization using custom NLP models. Reviews are scored, tagged, and grouped by theme to surface actionable insights.

Predictive Analytics

Trend detection algorithms identify emerging issues before they become widespread. Historical pattern analysis predicts sentiment shifts and flags anomalies in real time.

Multi-Language Support

Full 10-language internationalization across the entire platform. NLP models handle review analysis in multiple languages with locale-aware sentiment scoring.

Tech Stack

Infrastructure

AWS CDK (27 stacks)

Compute

AWS Lambda (serverless)

Languages

Python, TypeScript

AI/ML

NLP, Sentiment Analysis, Predictive Analytics

Frontend

React, Next.js, 10-language i18n

Data

Multi-platform app store ingestion

Results

27

CDK stacks deployed

10

Languages supported (i18n)

Real-time

Review ingestion

Multi-platform

App store coverage

NLP

Sentiment & topic analysis

Predictive

Issue detection ahead of trends

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