COD Guard – Intelligent COD Fraud Prevention System COD Guard is a smart fraud-detection and order-verification system designed to reduce RTO (Return to Origin) losses in Cash-on-Delivery e-commerce. By checking customer behavior, location accuracy, order history, and risk patterns before dispatch, COD Guard helps sellers ship safely and save money.
🚀Why COD Guard? COD orders create high financial risk. Sellers lose money on two-way shipping, packaging, manpower, and stuck inventory when a customer refuses a COD parcel. COD Guard solves this by identifying and blocking risky orders before they leave the warehouse.
🛡️ Key Features Risk Scoring Engine – 7-point logic system to analyze each order Geo-Validation – Checks distance between address & pincode Velocity Checks – Flags multiple quick orders from the same user Blacklist System – Blocks repeat offenders instantly Loyalty Logic – Protects genuine customers with successful history Seller Dashboard – Upload orders, get Green/Red verdicts Delivery Agent App – Field reporting that updates the central system Admin Panel – Manage rules, blacklist, and system-wide data
🧠 How It Works Order comes into COD Guard The Risk Engine assigns scores based on behavior, history, and location Order is classified as Safe, Medium, or High Risk Seller receives a simple result: Ship or Cancel Agent feedback keeps the system updated in real time
📈 Impact 15–20% reduction in RTO Instant savings on shipping and logistics Stronger protection for all sellers on the platform COD Guard helps turn logistics from a cost burden into a competitive advantage.
🔮 Future Scope API Plugins for Shopify & WooCommerce Machine Learning–based fraud prediction Behavioral biometrics for bot detection Pre-shipment WhatsApp OTP verification
📦 Tech Stack Frontend: HTML, CSS, JavaScript Backend: PHP Database: MySQL API Layer: REST Mobile Interface: Lightweight web views for delivery agents
🤝 Contributing Contributions, feature requests, and bug reports are welcome! Feel free to open a pull request or create an issue. 📜 License
This project is licensed under the MIT License.