How CommercePulse Works
Transparent insights into our AI-powered analytics platform and how we protect your data
🔄 How Your Data Flows
1. Secure Data Import
Connect your Shopify/Stripe via OAuth or upload CSV files. All data is encrypted in transit (TLS 1.3) and stored securely.
2. AI Analysis
Our Python-based analytics engine processes your data using machine learning models trained on ecommerce patterns.
3. Actionable Insights
Get real-time dashboards, predictive forecasts, and automated alerts delivered through our React-powered interface.
⚡ Our Technology Stack
Backend & AI
Frontend & Integrations
🧠 How Our AI Actually Works
📊 Revenue Forecasting
We analyze your historical sales data using time-series analysis and seasonal decomposition. Our models identify patterns in your revenue cycles and project future performance based on:
- • Historical sales trends and growth rates
- • Seasonal patterns (holidays, monthly cycles)
- • Product performance variations
- • Customer behavior patterns
🎯 Customer Segmentation
Our segmentation uses RFM analysis (Recency, Frequency, Monetary) combined with behavioral scoring:
- • Recency: When did they last purchase?
- • Frequency: How often do they buy?
- • Monetary: How much do they spend?
- • Trend Analysis: Are they increasing or decreasing activity?
🛒 Cart Recovery Predictions
We calculate recovery probability using machine learning models trained on:
- • Cart value and product types
- • Customer purchase history
- • Time since abandonment
- • Previous email engagement rates
🔐 Security & Privacy
Data Protection
Compliance
🌟 Our Commitment to Transparency
Built by Finance Professionals
CommercePulse was created by Zain Farooq, an ACCA finalist with deep understanding of small business finance. Every algorithm and insight is designed from real accounting experience, not just technical theory.