AI-Powered E-Commerce Analytics System |Graduation Project

I developed an AI-powered e-commerce analytics system for my graduation project, combining data analysis, machine learning, and interactive dashboards.

I created dashboards to monitor sales, orders, product performance, and customer behavior. These dashboards presented key metrics and visual comparisons to help users explore sales trends, identify top-performing products, and understand purchasing patterns. I translated the data into clear visual insights to support pricing, marketing, and inventory decisions.

I also built a dynamic pricing feature to support pricing decisions and a personalized recommendation system that suggested products based on users’ preferences.

Using React, Node.js, Supabase, Flask, and Python, I connected the e-commerce interface with backend services and machine learning features. This project strengthened my skills in data analysis, data visualization, dashboard development, and translating business requirements into practical solutions.