E-Commerce Analytics & Automation Hub
Architected storefront analytics platform with Stripe logistics, real-time D3 charts, and multi-channel inventory sync
01 // The Problem Context
E-commerce store owners lacked a centralized dashboard unifying real-time sales metrics, Stripe payouts, and warehouse inventory statuses.
02 // Solutions Architecture
Engineered a Next.js full-stack analytics application consuming webhooks from Stripe and Shopify. Built interactive charts and an automated inventory alert engine.
Workflow Execution Pathway
Customer triggers checkout on storefront
Stripe processes charge & dispatches secure webhook payload
Node.js server validates webhook signature & updates MongoDB
Analytics dashboard updates revenue & sales charts live
Slack logistics channel receives dispatch notification
Key Technical Decision
"Chose MongoDB transactional updates and Redis caching to handle high-frequency webhook bursts during promotional flash sales."
Audited Performance
Handled over 10,000 daily events with zero data loss or synchronization latency.
03 // Refactor Assessment
"Add predictive revenue forecasting based on historical quarterly sales data."
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