AI-Powered E-commerce Customer Churn Prediction Web App with Real-time Insights
Predict customer churn in real-time using this powerful AI-based web app built with Flask and XGBoost, designed for e-commerce businesses to improve retention.
Technology Used
Python 3.7+ | Flask | XGBoost | HTML/CSS (Jinja2 Templates) | RESTful API | Scikit-learn | Pandas, NumPy
Project Files
Overview
The AI-Powered E-commerce Customer Churn Prediction Web Application is an intelligent system built using Flask and a pre-trained XGBoost model that helps e-commerce businesses predict whether a customer is likely to leave (churn). This project provides a clean and responsive user interface for entering customer data and retrieving real-time churn predictions with actionable recommendations.
Key Features
- 📊 Real-time churn prediction with probability scoring
- ✅ User-friendly web interface built with Flask
- 📈 Pre-trained XGBoost machine learning model for accurate prediction
- 🧠 RESTful API for integration with external systems
- 🎯 Actionable insights and churn reduction recommendations
Applications
- ✔ E-commerce businesses aiming to reduce customer churn
- ✔ CRM systems with predictive retention analytics
- ✔ Data science or ML learning projects for students
- ✔ Startups analyzing user engagement and loyalty
Why Choose This Project?
With an accuracy of over 97.7%, this project serves as an ideal solution for businesses looking to proactively retain customers using AI. It’s also a perfect academic or professional showcase for machine learning deployment in real-world environments.
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Project Setup
We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).
Source Code Explanation
1-hour live session to explain logic, flow, database design, and key features.
Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.
₹999
Custom Documents (College-Tailored)
- Custom Project Report: ₹1,200
- Custom Research Paper: ₹800
- Custom PPT: ₹500
Fully customized to match your college format, guidelines, and submission standards.
Project Modification
Need feature changes, UI updates, or new features added?
Charges vary based on complexity.
We'll review your request and provide a clear quote before starting work.