App Review Intelligence
NLP-powered review analysis with predictive analytics across 10 languages
27 CDK stacks
10-language i18n

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
NLP Analysis
Predictive Analytics
Multi-Language Support
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
Planning a Similar Mandate?
A direct working session about the problem, the constraints, and the fastest credible path forward.
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