🛒 Grocery Management System with AI (Python + SQL)

📌 Project Overview

The Grocery Management System with AI is a smart inventory and sales tracking application built using Python and SQL, with integrated AI features to optimize stock levels, predict demnd, and assist users in decision-making. The system helps streamline grocery operations for small to mid-sized vendors

---

🧠 Key Features

• 🔐 User Authentication (Admin and Staff)
• 📦 Product Inventory Management
• 📊 AI-Based Demand Forecasting using historical sales data
• 📈 Sales and Purchase Tracking
• 📋 Low Stock Alerts via intelligent AI assistant
• 🧮 Automated Bill Generation
• 📥 Supplier & Customer Record Maintenance
• 📑 Daily/Monthly Report Generation
• 💬 AI Assistant for query handling and restocking suggestions

---

⚙️ Technologies Used

• 🐍 Python (Tkinter or Flask for UI, Pandas for processing)
• 🧠 AI/ML: Scikit-learn (for demand prediction), NumPy
• 🗃️ SQL (SQLite/MySQL/PostgreSQL for database)
• 📊 Matplotlib/Seaborn for visual analytics (optional)

---

🧠 AI Integration

Model: Linear Regression / Random Forest / Time Series (depending on configuration)

Function: Predicts next week's product demand using past sales patterns

File: ai_module.py

Input: Product ID, historical quantity sold

Output: Suggested restock quantity

🖼️ Screenshots Add GUI or CLI screenshots here, like Inventory Panel, Sales Entry Form, AI Suggestion Panel.

✅ Future Enhancements 📱 Mobile App Interface (Flutter/React Native)

☁️ Cloud-Based Inventory Sync

🧠 Improved AI Model (Time Series Forecasting - ARIMA, LSTM)

📊 Interactive Dashboards with Plotly/Dash

📞 Contact Developer: Ajinkya Patil Email: [email protected]