A Smart Inventory Management & Decision Support System
StockSense is a full-stack smart inventory management system built to help businesses track stock in real time, reduce wastage, and make context-aware restocking decisions using expiry data, consumption patterns, holidays, and weather conditions.
👉 Complete working walkthrough:
https://youtu.be/yqV14k5c_Ig
- Secure JWT-based authentication
- Protected routes for sensitive operations
- Add, update, and delete products
- Live stock quantity tracking
- Low-stock threshold alerts
- Expiry-date tracking for perishable items
- Automated alerts for near-expiry products
- Helps reduce operational wastage
- Integrated billing system
- Automatic stock deduction on billing
- Transaction logs for auditing & traceability
- Intelligent restocking recommendations based on:
- Current stock levels
- Upcoming holidays / high-demand dates
- Weather conditions (via external Weather API)
- Prevents overstocking and understocking
- Integrated Weather API to adjust stock suggestions
- Example:
- Increased cold drinks / umbrellas during hot or rainy weather
- Adjusted demand expectations based on forecasts
- Demonstrates external API-driven decision making
- Holiday calendar integration
- Anticipates demand spikes during festivals or special dates
- Used directly in restocking logic and alerts
- Scheduled cron jobs for:
- Daily expiry checks
- Low-stock monitoring
- Scheduled alert generation
- Reduces manual intervention and improves reliability
- Assign inventory-related tasks to staff
- Track task status and completion
- Improves day-to-day operational efficiency
- React.js
- Tailwind CSS
- Axios
- React Router
- Node.js
- Express.js
- MongoDB + Mongoose
- Node-Cron for scheduled jobs
- External Weather API
- JWT Authentication
- Authentication APIs
- Product & Inventory CRUD APIs
- Billing & transaction APIs
- Task management APIs
- Weather data integration APIs
- Cron-triggered background processes
- Designed context-aware inventory logic instead of static thresholds
- Integrated external weather data to influence business decisions
- Implemented cron-based background jobs for automation
- Ensured data consistency between billing and inventory
- Built with real-world operational constraints in mind
- Sales & demand forecasting using ML
- Analytics dashboard with visual insights
- Barcode / QR code scanning
- Supplier integration
- Cloud deployment with CI/CD
Sneha
2nd Year Computer Science Student
Focused on Full-Stack Development & Real-World Problem Solving
If you find this project useful, consider giving it a ⭐
Feedback and contributions are welcome!