README.md

metadata

title: SuperKart Sales Forecasting UI
emoji: 🛒
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.28.1
app_file: app.py
pinned: false
license: mit

🛒 SuperKart Sales Forecasting System

An intelligent sales forecasting system powered by machine learning that helps SuperKart optimize inventory management and make data-driven business decisions.

🚀 Features

• 📊 Interactive Predictions: Single and batch sales forecasting
• 📈 Real-time Analytics: Live dashboard with business insights
• 🔄 API Integration: Seamless connection to ML backend
• 📱 User-friendly Interface: Intuitive design for business users
• 📋 Batch Processing: Upload CSV files for bulk predictions

🎯 Quick Start

1. Configure API URL: Set your backend API endpoint in the app
2. Single Prediction: Enter product and store details for instant forecasting
3. Batch Processing: Upload CSV file for multiple predictions
4. View Analytics: Explore interactive charts and insights

🔧 Configuration

Backend API Connection

• Navigate to "API Status" in the sidebar
• Enter your backend API URL (e.g., https://your-backend-api.hf.space)
• Test the connection to ensure it's working

Input Format

Required fields for predictions:

• Product Weight, Sugar Content, Allocated Area, Type, MRP
• Store Size, Location City Type, Store Type, Age

📊 Business Intelligence

The system provides actionable insights including:

• Sales performance analysis by product categories
• Store performance comparisons
• Regional sales patterns
• Inventory optimization recommendations

🛠️ Technical Details

• Framework: Streamlit
• ML Backend: Flask API with scikit-learn
• Deployment: Hugging Face Spaces
• Container: Docker-based deployment

📞 Support

For technical support or business consultation, contact the SuperKart ML Analytics Team.

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Transform your retail operations with AI-powered sales forecasting! 🌟