Smart Inventory Management System for SMES

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dc.contributor.author Muhammad Usama, 01-133212-093
dc.contributor.author Munahil Amin, 01-133212-100
dc.contributor.author Muhammad Idrees Ahmad, 01-133212-073
dc.date.accessioned 2025-07-08T04:29:52Z
dc.date.available 2025-07-08T04:29:52Z
dc.date.issued 2025
dc.identifier.uri http://hdl.handle.net/123456789/19773
dc.description Supervised by Engr. Muhammad Yaseen en_US
dc.description.abstract This project is an innovative approach to developing a Smart Inventory Management System. It is specifically designed for small and medium enterprises (SMEs). SMEs face numerous challenges in inventory management, many of which stem from outdated methodologies that hinder their operational capabilities. Our proposed solution incorporates state-of-the-art technologies. These technologies include such as artificial intelligence (AI) and real-time data analytics. It offers functionalities that include accurate demand forecasting, real-time inventory tracking, and automated stock alert systems. These features ensure that SMEs can manage their inventories efficiently and effectively. It minimizes costs while maximizing productivity. Apart from technology, This pay attention to the importance of the user-friendly interface that is intuitive and economically available. This expects notable improvements in operational efficiency, lowered costs, and satisfied, loyal customers. It is accomplished by allowing SMEs to use sophisticated inventory management processes without incurring prohibitive charges. Our system aims to place SME’s for higher success in an increasingly competitive marketplace. en_US
dc.language.iso en en_US
dc.publisher Electrical Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BEE;P-3031
dc.subject Electrical Engineering en_US
dc.subject AI-Based Demand Forecasting en_US
dc.subject Market Research Phase en_US
dc.title Smart Inventory Management System for SMES en_US
dc.type Project Reports en_US


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