Paper Key : IRJ************689
Author: Nikhil Shakya,Gayatri Deore,Mayur Patil,Vedant Luthra,Mr. Avinash Taskar
Date Published: 11 Nov 2024
Abstract
Stock management systems play a vital role in industries ranging from retail and e-commerce to manufacturing and logistics. Over time, these systems have evolved from basic manual methods to advanced, AI-driven platforms, integrating technologies like IoT, RFID, and predictive analytics. This paper surveys the development, technologies, and methodologies behind modern stock management systems, including their advantages, challenges, and future directions. By reviewing current literature and analyzing various approaches, this survey provides insights into the key components, programming languages, and technologies used to manage stock effectively and improve operational efficiency. Future trends in automation, blockchain, and predictive analytics are also discussed, showcasing potential advancements in this field.
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