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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56160
Volume:
10 |
1 |
Jan 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.
The online auction-based system offers a powerful solution to improve online bidding and sales with machine-learned and implemented features to predict instant bidding behavior, personalize products/history alerts, and adjust pricing strategies. Inbuilt conversational agents provide real-time auction updates and explain marketplace operations, and an easy-to-use seller dashboard makes it simple to list items, specify categories, and finalize secure transactions by way of the users’ favorite online payment systems. Users make their biddings across the real-time bidding interface. (offers) and monitor the trend of the bidding as per the type of product and seller. trustiness, and their proximity to bidders. Selective location based Product fulfilment and freight rationalisation is possible through services. Architecture of real-time information scramble, foreseeable auction. predictions, secure payment roads and an easy interface to different. levels of experience. The campaign will create awareness both in the local and state project whilst promoting further involvement, and establishment. a seamless experience to the bidders under a single site. Key Features Pattern recognition engines Intelligent in dialogue agent. The control site of Vendor Live auction Customizable item suggestions. Secured deals Location-driven services.
KEYWORDS
Publication Date
1/22/2026
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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