- Project Overview
- Problem Statement
- Features
- UI/UX Design
- Application Walkthrough
- Demo
- Architecture
- Technology Stack
- Results
- Future Enhancements
AI-Assisted Cartonization & Packing Optimization System is an intelligent logistics solution that automates carton selection and optimizes package space utilization using Artificial Intelligence and heuristic optimization algorithms.
The application helps warehouses and e-commerce businesses reduce shipping costs, improve packing efficiency, and minimize material wastage by recommending the most suitable carton for every order.
Warehouse operators often rely on manual decisions while selecting cartons for shipment.
This leads to:
📦 Increased packaging costs
📉 Poor space utilization
🚚 Higher transportation expenses
♻ Excess material wastage
⏳ Longer packing time
Our solution intelligently recommends the most suitable carton while optimizing package space using AI-assisted algorithms.
- 🔐 Secure Login & Authentication
- 📦 Product Management
- 🛒 Order Management
- 🤖 AI Carton Recommendation
- 📐 Packing Optimization
- 📊 Dashboard Analytics
- 📑 Reports
- 👨💼 Admin Panel
Every screen was designed in Figma before development.
This helped visualize workflows, improve usability, and finalize the application structure before implementation.
Explore every module of the application in detail.
Watch the complete application in action.
| Layer | Technology |
|---|---|
| Frontend | Angular |
| Backend | Spring Boot |
| Security | Spring Security |
| AI | TensorFlow |
| Database | MySQL |
| Tools | Maven, Postman, Git |
| Library | Weka/Smile |
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Improved packing efficiency
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Reduced empty carton space
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Lower shipping cost
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Better warehouse productivity
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Intelligent carton recommendation
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Optimized package utilization
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3D carton visualization
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Warehouse analytics dashboard
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Mobile application
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AWS Cloud deployment
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Barcode integration
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Real-time inventory synchronization
Vijayasankari V
Java • Spring Boot • Angular • AI • AWS
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