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ReturnSense AI

AI-Powered E-commerce Return Prediction System

Predict product returns before they happen using Machine Learning, helping e-commerce businesses reduce losses and improve customer satisfaction.


Project Overview

ReturnSense AI is a Machine Learning-based web application that predicts whether an e-commerce order is likely to be returned.

The project combines data preprocessing, classification models, and a Flask web application to provide real-time return predictions.


Features

  • Predict product return probability
  • User-friendly Flask Web Interface
  • Machine Learning Classification Model
  • Data Preprocessing Pipeline
  • Fast Predictions
  • Clean Project Structure
  • Easy Deployment

Tech Stack

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • Flask
  • HTML
  • CSS
  • Git
  • GitHub

Problem Statement

Product returns are a major challenge in e-commerce.

ReturnSense AI predicts whether an order is likely to be returned before delivery, enabling businesses to make better operational decisions.


License

This project is licensed under the MIT License.

Application Screenshots

Prediction Interface

Prediction Interface

Prediction Result

Prediction Result

Author

Shivam Shrivastav

BCA Student | Data Analytics & Machine Learning

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AI-powered e-commerce return prediction system that identifies return risk from customer, order, product, and transaction patterns to support smarter business decisions.

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