AI-Powered E-commerce Customer Churn Prediction Web App with Real-time Insights

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

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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.

Frequently Asked Questions

You will get the complete source code along with an installation guide and chat support to help you set up and understand the project.
All our projects are thoroughly tested multiple times, so the code is completely error-free. But in case you still face any issue, you can reach out to us on WhatsApp (+91 8603862290) and we will fix it and provide you the updated code.
You can book a 1-on-1 Setup & Explanation Session where we connect via AnyDesk and Google Meet, set up the project on your laptop, and explain the complete code working and flow.
No, you cannot re-sell the project. This is completely illegal and a violation of our terms. If we find any such activity, we will take legal action.

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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.

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Custom Documents (College-Tailored)

  • Custom Project Report: ₹1,500
  • Custom Research Paper: ₹1,000
  • Custom PPT: ₹800

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.

Project Files

GoogleReviews

What Our Students Say

4.9(38+ reviews)
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⭐ 98% SUCCESS RATE
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