Abstract:
Modern inventory systems demand automation, real-time tracking, and intelligent decision-making. This project, RFID-Based Inventory & Analytics Website, is a comprehensive web application developed to simplify and optimize inventory management using RFID technology and data analytics.
Built with a robust role-based admin login system, the platform provides secure access to an admin dashboard that displays key metrics such as total products, fast/slow-moving items, low-stock alerts, and top sellers. All modules are accessible via this central dashboard, ensuring seamless navigation.
The RFID Product Scanning Module allows products to be added using RFID input (or simulated via a text field) and updates stock levels dynamically with timestamp logging. The Product Management interface supports adding, editing, deleting, and viewing products with advanced filtering capabilities.
The Inventory Tracking Page provides a live view of all stock levels, visually coded as:
• In-stock
• Low-stock (threshold-based)
• Out-of-stock
Manual “In” or “Out” actions are also supported. The system features Machine Learning modules for:
• Product Categorization – Automatically classify items based on descriptions or RFID patterns.
• Movement Analysis – Tag products as fast-moving, slow-moving, or non-moving based on sales history.
An integrated Analytics Dashboard provides visual insights via interactive graphs and charts:
• Sales Trends (weekly/monthly)
• Top-Selling Products
• Dead Stock Summary
• Overall Movement Statistics
Using past transaction data, the Customer Purchase Pattern Analysis module identifies frequently bought-together product combos to aid bundling and upselling.
The Stock Alerts Module uses predefined thresholds to generate:
• Low-stock warnings
• Overstock notifications
These alerts are shown with red badges and email notifications using Python's SMTP integration.
Reports are exportable in CSV or PDF formats from the Reports Page, with filters for date, category, and tags. A Settings Page allows admins to securely change their passwords and manage preferences.

Technologies :
• Frontend: HTML, CSS, Bootstrap, JavaScript
• Backend: Python with Flask Framework
• Database: MySQL
• Features: RFID Simulation, Real-time Inventory Updates, Machine Learning Logic (Basic), Email Alerts (SMTP)
• Output Formats: CSV, PDF Reports

Introduction:
Inventory management is a critical component of any business involved in product storage, distribution, or retail. Traditional inventory tracking methods often suffer from manual errors, delayed updates, and lack of real-time visibility, leading to inefficiencies, stockouts, or overstocking. To address these challenges, this project presents a RFID-Based Inventory & Analytics Website that leverages web technologies, RFID simulation, and data-driven insights to streamline inventory operations.
This system is designed with an intuitive user interface using HTML, CSS, Bootstrap, and JavaScript, ensuring responsive and user-friendly interactions. The backend is powered by Python and Flask, providing a lightweight and scalable server architecture. Data is stored and managed efficiently using MySQL, while email alerts for critical stock events are handled using Python’s SMTP capabilities.
The application allows an administrator to log in and access a centralized dashboard that offers live stock monitoring, RFID-based product scanning, product categorization using machine learning logic, and movement tagging for inventory optimization. Additionally, powerful analytics modules display real-time charts and sales trends, while automated alerts notify the admin of low-stock or overstocked items.
By integrating simulated RFID input, dynamic product tracking, and decision-support tools, this project delivers a modern, end-to-end inventory management solution suitable for small to medium-sized businesses, retail stores, or warehouse environments.


Objective:
The primary objective of this project is to design and develop a web-based RFID Inventory Management and Analytics System that automates and simplifies the tracking, management, and analysis of product inventory in real time.
Specific objectives include:
1. Implement a secure login system with role-based access to ensure only authorized admins can manage the inventory.
2. Enable product entry and stock updates using RFID simulation, supporting both incoming and outgoing transactions with timestamps.
3. Provide full product management features, including adding, editing, deleting, and searching products with advanced filters.
4. Track and display real-time stock levels with color-coded indicators (in-stock, low-stock, out-of-stock) for easy monitoring.