Paper Title
IndoLink: A Multi-Role E-Commerce Framework Implementing Payment for Order Flow with AI-Based Product Discovery
Article Identifiers
Registration ID: IJNRD_324104
Published ID: IJNRD2605152
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Keywords
E-Commerce, Payment for Order Flow, Multi-Role Marketplace, Artificial Intelligence, Image-Based Search, Visual Search, AI Product Discovery, Commission Systems, Brokerage Model, Digital Marketplace, Referral Systems, Full-Stack Development, MERN Stack, Node.js, Express.js, React.js, MongoDB, REST API, Role-Based Access Control, JWT Authentication, Secure Payments, Razorpay Integration, Payment Gateway, Web Application Architecture, Scalable Systems, Marketplace Design, Admin-Controlled Pricing, Inventory Management, Order Management System, Data Traceability, Cloud-Based Applications, Multimodal AI, Google Gemini API, Image Recognition, Product Recommendation Systems, Transaction Management, Distributed Systems, Web Security
Abstract
Online shopping platforms have grown rapidly over the past decade, yet most of them still follow a simple model where buyers and sellers interact directly. This basic setup does not support features like controlled pricing, intermediary roles, or intelligent product search. This paper describes IndoLink, a new marketplace platform built around four user roles: Buyer, Seller, Admin, and Broker. Each role has its own dashboard and set of responsibilities. The platform introduces a Payment for Order Flow approach where money moves from the buyer to the admin and then to the seller, keeping all transactions traceable and structured. A product search feature powered by the Google Gemini AI model lets users find items by uploading a photo instead of typing keywords. A referral system allows brokers to earn a five percent commission on profits from transactions made by users they bring to the platform. Payments are handled securely through Razorpay. The backend is built with Node.js and Express.js, the frontend with React and Vite, and MongoDB is used for data storage. Testing results show that the system works correctly across all roles and supports a transparent, scalable commerce environment. Index Terms—E-Commerce, Payment for Order Flow, Multi Role Marketplace, Artificial Intelligence, Image Search, Commission Systems, Digital Marketplace, Brokerage Model
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How To Cite (APA)
Chandan C V, Bhuvan, Dhruthik S Gowda, Deekshith Sai Raj SP, & Dr. Ranjith J (May-2026). IndoLink: A Multi-Role E-Commerce Framework Implementing Payment for Order Flow with AI-Based Product Discovery. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(5), b393-b403. https://ijnrd.org/papers/IJNRD2605152.pdf
Issue
Volume 11 Issue 5, May-2026
Pages : b393-b403
Other Publication Details
Paper Reg. ID: IJNRD_324104
Published Paper Id: IJNRD2605152
Research Area: Other area not in list
Author Type: Indian Author
Country: Bengaluru, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2605152.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2605152
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