Smart Inventory System 🧠📦

Team CodeSoft – Developed by Sanjay Choudhary, Prateek Lachwani & Chirag Soni

AI-powered inventory management system with real-time demand forecasting, anomaly detection, and smart stock optimization. Designed for hackathons and industry-ready deployment.

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Features

1. Core AI/ML Engine

• Hybrid forecasting models: ARIMA + LSTM/Prophet + XGBoost
• Factors considered: seasonal trends, promotions, weather, external data
• Dynamic safety stock calculation using variability + lead time
• Anomaly detection for unusual spikes/drops in demand
• AI/ML model developed by Prateek Lachwani model repo: https://github.com/prateek200445/model_ai_inventory

2. Real-Time Inventory Tracking

• IoT Integration: RFID / Barcode for live warehouse updates
• Auto-replenishment: Purchase order generation + ERP/WMS integration

3. Smart Dashboard

• Demand vs Supply graphs (historical + predicted)
• Inventory health indicators (Green / Yellow / Red)
• Alerts: low stock, overstock, supplier delays
• Cost savings & wastage reduction calculator
• Filters: Product, Category, Warehouse, Date

4. Advanced Features

• What-if simulations for demand spikes and supplier delays
• Explainable AI – shows reasoning behind forecasts
• Sustainability metrics – reduced wastage & carbon footprint
• Multi-user roles: Manager, Procurement, Management

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Tech Stack

• Frontend: React.js / Next.js + Recharts / D3.js
• Backend: Node.js / FastAPI
• Database: PostgreSQL
• AI/ML: Python (TensorFlow, Prophet, XGBoost, Scikit-learn)
• Integration: REST APIs / Webhooks for ERP
• Deployment: Docker + AWS/GCP/Azure free tier

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Demo Flow (for Judges)

1. Show product list with stock & forecast
2. Display AI forecast graph of future demand
3. Trigger low stock alert → auto purchase order generation
4. Run what-if simulation (e.g., festival sales surge)
5. Display sustainability & cost savings report

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Extra Add-ons

• AI chatbot assistant for inventory Q&A
• Voice-enabled alerts (Alexa / Google Assistant)
• Mobile app for live tracking
• Blockchain-based secure stock records

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Why This Project Wins 🏆

• Industry-ready SaaS solution, not just an academic project
• Real/simulated dataset + polished dashboard + AI predictions
• Practicality, scalability & innovation make it hackathon-ready

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Team CodeSoft

• Sanjay Choudhary
• Prateek Lachwani
• Chirag Soni

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Keywords: Inventory Management, AI, ML, Demand Forecasting, IoT, ERP, Real-Time Tracking, Hackathon Project