EcoInsight is a powerful retail analytics dashboard that transforms raw sales data into actionable insights, helping businesses optimize operations and boost revenue through data-driven decisions.
- 📈 Real-time revenue tracking and forecasting
- 🛍️ Customer segmentation and behavior analysis
- 📊 Interactive visualizations and dashboards
- 🔮 Advanced predictive analytics
- 🌍 Geographic sales analysis
- 📱 Responsive and modern UI
- Backend: Python, Flask
- Data Analysis: Pandas, NumPy
- Machine Learning: XGBoost, Prophet
- Visualization: Plotly
- Frontend: HTML, CSS, JavaScript
- Deployment: Render
- Revenue forecasting using advanced ML models
- Customer segmentation and RFM analysis
- Product performance tracking
- Geographic sales distribution
- Time series analysis and trend detection
- Anomaly detection in sales patterns
- Clone the repository:
git clone https://github.com/yourusername/EcoInsight.git- Install dependencies:
pip install -r requirements.txt- Run the application:
python app.py- Real-time data integration
- Advanced customer churn prediction
- Inventory optimization recommendations
- Custom report generation
- API integration capabilities
This project is licensed under the MIT License - see the LICENSE file for details.
Contributions are welcome! Please feel free to submit a Pull Request.
Made with ❤️ by Himanshu Singh