Full-Stack Web App

E-Commerce Analytics Platform

Full-stack web application for real-time sales tracking, inventory management, and predictive analytics with ML-powered insights.

Next.js
PostgreSQL
ML
Dashboard
E-Commerce
Analytics
🖼️

Project Screenshot / Demo

The Challenge

E-commerce businesses were using multiple disconnected tools for sales tracking, inventory management, and analytics, leading to data silos and delayed insights.

The Solution

Created a unified platform that integrates with major e-commerce platforms, provides real-time dashboards, and uses machine learning to predict inventory needs and sales trends.

Key Features

  • Real-time sales and revenue tracking
  • Inventory management with low-stock alerts
  • Predictive analytics for demand forecasting
  • Customer segmentation and lifetime value calculation
  • Multi-store support with unified dashboard
  • Custom report builder
  • Mobile-responsive design

Tech Stack

Next.js
TypeScript
PostgreSQL
Prisma
Python (ML models)
Chart.js
Tailwind CSS

Built with modern technologies to ensure scalability, performance, and maintainability.

The Results

Reduced stockouts by 60%

Improved inventory turnover by 35%

Increased forecasting accuracy to 92%

Saved 15 hours per week on reporting

Identified $50K in revenue opportunities

Interested in a similar solution?

Let's discuss how I can build a custom solution tailored to your specific needs.