INVENTORY MANAGEMENT SYSTEM USING MACHINE LEARNING

The project Inventory Management System is a complete web-based application. An inventory management system is the combination of technology (hardware and software), processes and procedures that oversee the monitoring and maintenance of stocked products, whether those products are company assets, raw materials and supplies, or finished products ready to be sent to vendors or end consumers. Inventory Management System plays an important role because it reduces the stress, monitoring of products, making balance sheets and many more which was done manually. Simply Inventory Management System overtook the manual things and also it optimizes the cost and time constraint. Inventory Management Software is an open-source project developed by procedural PHP, MySQL, bootstrap, and jQuery. This application is based on web application and develop with procedural PHP, MySQL database, jQuery, data tables plugins, and bootstrap. This application provides the users to manage brands, category, product, orders, and report. The special feature that we introduced in this project is that the admin can get predicts about the stock using the machine learning algorithms which helps him to mange the stock in warehouse. This system provides best inventory management software features. This system can be also used for small business. It is free web-based inventory management software. In product section, the admin can add the product information and manage the stock. In order section, the application will manage the stock of the product and generates the total amount of payment to be pay by the client.