International Research Journal of Engineering and Technology (IRJET) Volume: 12 Issue: 11 | Nov 2025
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
INVENTORY MANAGEMENT SYSTEM USING DJANGO "Digital Inventory Oversight Made Easy" 1 Rakshitha J, 1 Sandhya GO, 1 Deepak C, 2 Zahara Amreen 1 Dept of CSE Ghousia College of Engineering, VTU, Ramnagara, Karnataka, India,
2 Assistant Professor, Dept of CSE, Ghousia College of Engineering, VTU, Ramnagara, Karnataka, India, ----------------------------------------------------------------------------------------------------------------***----------------------------------------------------------------------------------------------------------------------------
Abstract — This paper presents the design and
A. Preparing Inventory Management System using Django
implementation of an Inventory Management System enhanced with machine learning capabilities to optimize stock control and decision-making. Built using Django, a Python-based web framework, the system automates inventory operations such as product tracking, sales recording, and report generation. Machine learning algorithms are integrated to forecast demand, detect anomalies, and recommend restocking actions based on historical data. The user interface is developed with HTML, CSS, ensuring responsiveness and usability. This intelligent system reduces manual errors, enhances operational transparency, and supports data-driven inventory management for businesses.
Before beginning your documentation ensure that you are using the correct template format. This paper is structured for output on A4 paper size and is intended for projects involving Django-based web applications. If your institution or publisher requires US Letter-sized paper, please close this file and download the appropriate Microsoft Word template for Letter format. This ensures consistency in layout and readability across platforms. B. Overview of Inventory Management Using Django The Inventory Management Sysyem developed using the Django framework offers a robust and scalable solution for tracking products, managing stock levels, and streamlining operations. Django’s built-in admin interface, ORM capabilities, and modular architecture allow developers to efficiently build secure and maintainable web applications. This system supports real-time updates, user authentication, and customizable dashboards, making it suitable for small businesses and large enterprises alike. By leveraging Django’s MVC pattern and Python’s flexibility, the platform ensures high performance, ease of integration, and rapid development cycles..
Keywords— Inventory Management, Machine Learning, Django, Stock Prediction, Web Application, Automation, Python.
I.INTRODUCTION A Inventory Management System is a vital tool for businesses to efficiently monitor stock levels, manage product information, and streamline operational workflows. Traditional inventory tracking methods often rely on manual processes, which are prone to human error, delays, and data inconsistencies. These limitations can lead to overstocking, stockouts, and poor decision-making. To address these challenges, this project introduces a webbased Inventory Management System developed using Django, a high-level Python web framework known for its scalability, security, and rapid development capabilities. Django’s built-in features such as the admin interface, Object-Relational Mapping (ORM), and templating system simplify backend logic and enable dynamic front-end rendering. The system allows users to add, update, and delete products, monitor inventory changes in real time, and generate detailed reports. It also includes user authentication and role-based access control to ensure data privacy and secure operations. By automating routine tasks and integrating real-time analytics, the system enhances transparency, reduces manual workload, and supports data-driven decision-making. This solution is particularly beneficial for small to medium-sized enterprises seeking to modernize their inventory processes and improve overall efficiency.
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Impact Factor value: 8.315
II. RELATED TO WORK Several studies have explored the implementation of Inventory Management Systems (IMS) using the Django framework, highlighting its effectiveness in streamlining stock tracking and order processing. Terkhedkar et al. [1] proposed a web-based IMS that replaces manual tracking with automated CRUD operations, device-level inventory control, and user authentication. Their system emphasizes audit readiness and reliability, making it suitable for organizational use. Pandarinath et al. [2] developed a Django application that integrates purchase order creation, ABC analysis, and Justin-Time inventory control. Their approach ensures data integrity through ACID-compliant operations and supports efficient inventory handling Biswas et al. [3] introduced a server-rendered Django IMS integrated with PostgreSQL, focusing on multi-user access, real-time stock updates, and secure data management. |
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