Python & Streamlit Inventory Management System with full invoicing, stock alerts, and sales analytics — no server, no MySQL, no complex setup required.Take complete control of your business inventory from a clean, modern dashboard. Track products with images, barcodes, expiry dates, and custom low-stock thresholds. Generate professional invoices with automatic stock deduction and real-time payment tracking.Built for retail stores, warehouses, and small to medium businesses that need a reliable, ready-to-use solution without the overhead of a web server or external database. Powered by SQLite — everything runs locally and is fully portable.Well-structured code, easy to customize, and up and running in under 5 minutes.

• Add, edit, delete, and search products

• Image upload and thumbnail display

• Barcode (SKU), batch number, and rack tracking

• Production and expiry date management

• Custom low-stock alert per product

• Category, warehouse, and supplier assignment

• Export to Excel, PDF, or printable HTML

• Auto-generated invoice numbers

• Multiple products per invoice

• Real-time stock validation on checkout

• Payment tracking — paid, unpaid, and partial

• Discount support

• Print-ready invoice layout

• Full invoice history

• Complete contact database

• Payment history and transaction records

• Status filtering by payment condition

• Simple and fast management interface

• Real-time sales and revenue metrics

• Smart notification bell for instant alerts

• Low stock and expired product warnings

• Recent invoices and activity feed

• Multiple warehouse support

• Staff management with roles

• 30+ international currencies

• Custom store branding and logo

• Modern dark theme UI

• Cross-platform — Windows, macOS, Linux

• One-click installation on Windows

• 3 months free support

• Python 3.9 or higher

• Streamlit 1.25+

• Pandas 1.5+

• Plotly 5.14+

• OpenPyXL 3.1+ — Excel export

• ReportLab 3.6+ — PDF export

• Pillow 9.0+ — Image processing

• No database server needed — uses built-in SQLite

• Any modern browser — Chrome, Firefox, Edge

1. Extract the downloaded ZIP file to any folder on your computer

1. Run Setup - Double-click setup.bat to install all dependencies
2. Wait until you see "Installation Complete!

1. Run Application - Double-click run.bat to start the application

• Your browser will automatically open at http://localhost:8501

• If not, manually open your browser and go to: http://localhost:8501

1. Optional - Run generate_sample_data.py to create demo data for testing