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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 SMEs face numerous challenges in inventory management, many of which stem from outdated methodologies that hinder their operational capabilities.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 |