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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58135
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Efficient inventory management and billing operations play a vital role in ensuring the smooth functioning and profitability of retail businesses. In many small-scale retail environments, traditional methods such as manual record-keeping, handwritten bills, and spreadsheet-based tracking are still widely used. These methods are prone to human errors, including stock mismatches, inaccurate billing, data redundancy, and delays in transaction processing. Furthermore, the absence of real-time data and analytical insights limits the ability of business owners to make informed decisions, thereby affecting overall operational efficiency and growth. To address these challenges, this paper proposes SmartShop+, an enhanced web- based inventory and billing system specifically designed for small retail shops. The system integrates multiple functionalities, including real-time inventory tracking, automated billing processes, customer relationship management, and business analytics, into a single unified platform. The architecture of the system is lightweight and modular, ensuring ease of deployment and scalability without requiring expensive infrastructure or advanced technical expertise. SmartShop is developed using modern web technologies that provide a responsive and user-friendly interface, allowing users to manage products, monitor stock levels, generate invoices, and analyze sales data efficiently. The system is designed to operate on low-cost hardware and supports both online and offline deployment scenarios, making it highly suitable for small and medium-sized enterprises. Experimental evaluation and performance testing demonstrate that the proposed system significantly improves operational efficiency. The results indicate a 65% reduction in billing time, a 90% decrease in manual errors, and a substantial improvement in inventory accuracy. These improvements contribute to faster transactions, better stock management, and enhanced customer satisfaction.
KEYWORDS
Publication Date
3/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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