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Customer Intelligence System
NLP-powered system for analyzing customer behavior and generating actionable intelligence for B2B sales teams.
PythonTransformersElasticsearchFastAPIReact
Problem
What needed to be solved
Sales teams spent hours manually analyzing customer interactions to identify opportunities, missing critical signals in the noise.
Solution
How we built it
Developed a transformer-based system that automatically extracts intent signals, sentiment, and opportunity scores from customer communications.
Architecture
System Architecture
High-level architecture diagram showing the system components and data flow.
RAG Platform Architecture
Lessons
Lessons Learned
1
Context window limitations require careful text chunking strategies
2
Domain-specific fine-tuning outperforms generic models by 30%+
3
Explainability is crucial for user trust in AI recommendations
4
Real-time processing requires different architecture than batch analysis