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SaaS Client

App Review Intelligence

NLP-powered review analysis with predictive analytics across 10 languages

27 CDK stacks10-language i18nNLP analysisServerless AWS

The Problem

No systematic way to monitor and analyze app store reviews at scale. A SaaS company needed to understand what users were saying about their apps across multiple platforms and languages. Manual review monitoring was time-consuming, inconsistent, and could not scale. Emerging issues went undetected for days or weeks. Product teams lacked a systematic way to track sentiment trends, identify feature requests, and prioritize bug reports from user feedback.

Our Approach

We built a production NLP platform that ingests app store reviews in real time from multiple platforms, analyzes sentiment and topics using custom models, and surfaces emerging issues through predictive analytics — before they become trends.

The entire platform was built on serverless AWS with 27 CDK stacks, supporting 10 languages for full internationalization. The architecture is designed for scale — handling high volumes of reviews with automated categorization, trend detection, and executive dashboards.

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

Serverless

AWS architecture

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