AI-powered web-based billing and sales management system for manufacturing enterprises with predictive analytics, inventory management, invoice automation, and machine learning–based demand forecasting.
BillFlow-AI is a full-stack intelligent billing and sales management platform designed for manufacturing enterprises. The system automates billing, order processing, inventory management, invoice generation, and sales analytics while integrating machine learning models for predictive demand forecasting.
The platform includes dedicated Admin and Customer dashboards to streamline workflow management, improve operational efficiency, and reduce dependency on traditional manual billing systems.
- Customer and Admin Dashboards
- Automated Invoice Generation
- Estimation Slip & Tax Invoice Support
- Real-Time Inventory Management
- Order Processing & Tracking
- Sales Analytics Dashboard
- Secure Firebase Database Integration
- Machine Learning–Based Demand Prediction
- Product Demand Classification
- Inventory Planning & Monitoring
- Low Stock Alert Notifications
- Historical Billing & Sales Tracking
- Place orders using estimation slips or tax invoices
- View order history and invoices
- Track order status
- Manage customers and products
- Approve or reject orders
- Generate invoices
- Monitor inventory and sales analytics
- Add, update, and delete products
- Monitor stock levels
- Receive low-stock notifications
- Generate estimation slips
- Generate tax invoices
- Automated billing calculations
- Analyze historical sales data
- Predict future product demand
- Classify products as:
- High Demand
- Medium Demand
- Low Demand
The project integrates Machine Learning to improve business decision-making and inventory planning.
- Historical sales data collection
- Data preprocessing and cleaning
- Synthetic data generation using GANs
- Random Forest–based demand prediction
- Demand classification and analytics visualization
- Random Forest Algorithm
- GAN (Generative Adversarial Network)
- Achieved approximately 85%–92% prediction accuracy using historical sales data.
- HTML
- CSS
- JavaScript
- Python
- Flask
- Firebase Firestore
- Scikit-learn
- TensorFlow
- Pandas
- NumPy
The system consists of:
- Customer Dashboard
- Admin Dashboard
- Backend Processing Layer
- Firebase Database
- Machine Learning Prediction Module
- Customer places order
- Backend processes order
- Admin approves/rejects order
- Invoice generated automatically
- Inventory updated in real time
- Sales data stored in database
- ML model analyzes sales patterns
- Future product demand predicted
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git clone https://github.com/RIGASWAR/BillFlow-AI.gitcd BillFlow-AIpip install -r requirements.txtpython app.py- Online Payment Integration
- Shipment Tracking
- Advanced Analytics Dashboard
- Mobile Application Support
- Enhanced Cybersecurity Features
- Deep Learning–Based Forecasting Models
- Cloud Deployment
- Preethi R
- Rigaswar S
- Syed Wasiq Hussain
- Yugendharan A M
This project is developed for academic and research purposes under PSG College of Technology.