Smart Inventory Management System
Aswathy K R , Computer Science, Nehru College of Engineering and Research Centre
Akhila M Shaji, Computer Science, Nehru College of Engineering and Research Centre
Athul M , Computer Science ,Nehru College of Engineering and Research Centre
Bhavya K, Computer Science ,Nehru College of Engineering and Research Centre
Asst.Prof . Anjana Ashokan ,Computer Science ,Nehru College of Engineering and Research Centre
---------------------------------------------------------------------***---------------------------------------------------------------------
1.Abstract
The Smart Inventory Management System is a comprehensive solution designed to simplify inventory tracking, order management, and restocking for businesses of all sizes. It ensures businesses maintain the right stock levels, prevent shortages, and avoid overstocking through automation and real-time monitoring. Effective inventory management and sales analysis play a crucial role in improving retail efficiency and profitability. This project presents a data-driven framework that integrates association analysis to identify product relationships and enhance cross-selling opportunities. The study focuses on analyzing sales trends, categorizing inventory based on turnover rates, and implementing predictive analytics for demand forecasting. By optimizing stock levels, the approach helps prevent overstocking and stockouts, ensuring smooth operations. Additionally, advanced visualization techniques are used to extract actionable insights, aiding in strategic decision-making. By combining inventory optimization, association analysis, and predictive modeling, this framework offers a scalable solution to modern retail challenges, promoting sustainable growth and efficiency. Other essential features include automated stock alerts that notify users when inventory levels drop below preset thresholds, ensuring timely restocking. The system also offers supplier management tools, enabling businesses to track supplier performance, store important supplier details, and automate purchase orders—ensuring stock is replenished efficiently. By integrating automation, hybrid data storage, and real-time insights, the Smart Inventory Management System enhances efficiency, minimizes waste, and improves profitability—helping businesses stay agile and meet customer demands seamlessly
