BigBid: A Real-Time Auction and E-Commerce Platform

Abstract

BigBidisareal-timeonlineauctionande-commerce platformthatcreatesavibrantandinterestingmarketplace by fusing traditional online shopping with competitive bidding. Buyers can take part in live auctions using an easy-to-use web interface, while sellers can offer products with customizable auction settings, such as base price, reserve price, length, and extra buy-it-now choices. A WebSocket-based communication layer is used to offer real-time bid updates and countdownclocks, guaranteeing low-latency bid synchronization across all connectedclientsandmaintainingfairnessduringperiodsofhigh bidding activity. The backend is constructed using Node.js etc Express.js, exposing RESTful APIs for essential functions and using role-based access control and JSON Web Token authenti- cation to protect administrator, buyer, and seller actions. High- frequency read-write operations during auctions are supported by MongoDB, a versatile NoSQL data store for user profiles, product listings, bids, and transaction histories. React.js and Tailwind CSS were used to create the frontend, which offers interactive auction views and responsive dashboards that are designed for desktop and mobile devices. User testing reveals excellent levels of satisfaction with responsiveness and overall user experience, while experimental evaluation using concurrent user simulations demonstrates that the platform maintains low bidlatency,highbidsuccessrates,andstableperformanceunder load.Thesefindingsshowthat BigBidoffersascalable,safe, and user-focused solution for contemporary online auctions and hybrid e-commerce situations.

Introduction

The document presents BigBid, a real-time auction and e-commerce platform designed to overcome limitations of traditional fixed-price and outdated auction systems that rely on polling or page refreshes, causing latency, bid sniping, and poor user experience.

Existing platforms like Amazon and Flipkart do not support dynamic bidding, while auction systems like eBay often lack true real-time updates and suffer from synchronization delays. Mobile resale apps also lack integrated payments, analytics, and strong real-time infrastructure. BigBid addresses these gaps by introducing a WebSocket-based real-time bidding system that ensures low-latency communication, fair bidding, and improved user engagement.

BigBid combines fixed-price purchasing and live auctions in one platform with features such as:

• Real-time bidding with anti-sniping protection
• Role-based dashboards for buyers, sellers, and admins
• Instant bid updates via WebSockets (Node.js + Socket.IO)
• Secure authentication and payments (JWT + Stripe/Razorpay)
• Auction analytics and notifications

The system uses a layered architecture:

• Frontend: React.js + Tailwind CSS for responsive dashboards
• Communication layer: WebSockets + REST APIs for real-time and standard operations
• Backend: Node.js/Express handling authentication, auction logic, payments, and notifications
• Database: MongoDB storing users, auctions, bids, and transactions

Key features include real-time bid broadcasting, anti-sniping auction extensions, secure payment integration, and role-based access control. The system supports high concurrency (1000+ users) with low latency (<100 ms).

Development followed an Agile approach, including frontend-backend integration, load testing, and usability testing. Results show strong performance in real-time updates, bid accuracy, scalability, and user satisfaction, with successful handling of concurrent bidding without inconsistencies.

Conclusion

BigBid proves that modern web technologies can be ef- fectively integrated to build an online auction system that is user-centric, scalable, and real-time. The system outperforms existingonlineauctionsystemsintermsofefficiencyanduser experiencebyutilizing Web Socketsforreal-timecommunica- tion, Node.js for efficient handling of concurrent connections, and MongoDB for flexible data storage. Key contributions include: • Architectureforreal-timeonlineauctionsthatisproduction-ready. • Bidpropagationlatencyisshowntobelessthan100ms. • Practicaltestingisusedtovalidateusersatisfaction. • Modulardesigntoaccommodatefuturefeatureintegra- tion.

References

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Copyright

Copyright © 2026 Dr. A. Naresh Kumar, Boyoni Balaji Lakshmiah Raj D, Ponasanipalli Prasuna, Mohammed Omar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.