Project Overview
Cognify Metrics is an AI-powered B2B market intelligence platform designed specifically for e-commerce businesses. It transforms weeks of manual market research into minutes of AI-powered insights, addressing the critical pain point that 80% of e-commerce businesses struggle with time-intensive, manual trend analysis.
Target Market & Results
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Primary
SME E-commerce businesses experiencing 45% increase in organic traffic and 60% reduction in research time
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Secondary
Digital marketing agencies achieving 3x client capacity increase
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Tertiary
Product development teams gaining 3-month competitive advantage
Key Responsibilities
Business Strategy & Leadership
- Developed overall business vision and growth strategy
- Led team across different development phases
- Established product roadmap and key milestones
Backend Architecture Design
- Designed and implemented the core architecture for Cognify Metrics
- Established modular structure with clear separation of concerns across presentation, business logic, and data layers
- Created dependency injection patterns for maintainable, testable code
- Implemented MongoDB schema design with Mongoose integration
AI Integration Engineering
- Built AI model selection logic for optimal performance across different analysis types
- Created system prompts for specialized keyword analysis and market insights
- Developed data processing pipelines for training and inference
- Implemented caching strategies for improved performance and cost efficiency
Achievements
Client Performance Improvements
- Delivered core API functionality enabling 45% increase in organic traffic for clients
- Reduced market research time by 60% through AI-powered automation
- Enabled 3x faster trend identification compared to manual methods
- Supported 85% weekly active users in beta cohort with stable, reliable API
Performance Optimization
- Designed horizontally scalable microservices architecture
- Implemented stateless service design for container deployment
- Created database indexing strategy for performance at scale
- Optimized API endpoints for sub-100ms response times
Security Implementation
- Established comprehensive authentication and authorization system
- Implemented data encryption for sensitive information
- Created role-based access control for enterprise features
- Designed secure API key management for third-party integrations
Tech Stack
MongoDB
Node.js
AI Models
React
AWS
Docker