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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43537
Volume:
9 |
4 |
Apr 2025
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.
This study presents a web-based application designed to support local businesses in establishing a strong online presence and competing with large e-commerce platforms. The platform enables seamless digital interaction between shopkeepers and customers by incorporating advanced product filtering mechanisms, allowing users to refine searches based on categories, price ranges, and availability. Each product listing includes detailed descriptions, specifications, images, pricing, and shopkeeper details, ensuring informed purchasing decisions. The system also leverages location-based notifications to provide real-time updates on special discounts, new arrivals, and shop promotions, enhancing customer engagement and increasing foot traffic to local businesses. By offering a convenient browsing and purchasing experience, the platform reduces the need for physical store visits while supporting local commerce. The study further examines the implementation of these features, their impact on user experience, and potential enhancements through AI-driven recommendations and mobile integration.
KEYWORDS
Publication Date
2/3/2025
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.
Funding Information
No funding information available for this research.
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