Local-Connect: A Unified Platform for Trusted Electronic Retail and E-Waste Management

Abstract

The rapid expansion of e-commerce has simplified access to electronic goods but has also intensified issues of product authenticity, counterfeit sales, and lack of seller accountability. Simultaneously, the growing volume of electronic waste (e-waste) presents significant environmental challenges due to inadequate collection and recycling mechanisms. Local Connect is a web-based platform designed to address both these concerns through a unified digital ecosystem that integrates verified local electronic retailers with a sustainable e-waste management system. The platform ensures credibility by verifying sellers, authenticating listed products, and promoting transparency through traceable transactions. A dedicated e-waste management module connects consumers, recyclers, and refurbishers to facilitate responsible disposal and reuse of electronics. The system leverages cloud-based microservices, AI-driven recommendation engines, and chatbot-assisted interfaces to create a scalable, user-friendly environment. By combining consumer trust, technological reliability, and environmental responsibility, Local Connect establishes a new benchmark for ethical and sustainable e-commerce platforms.

Introduction

This work presents Local Connect, a unified e-commerce platform designed to solve two major problems in modern digital retail: lack of trust in electronic product marketplaces and the growing issue of e-waste management. Many existing platforms suffer from counterfeit products, unreliable sellers, and no structured system for recycling or reusing electronic devices. Local Connect addresses this by combining a verified local marketplace with an integrated e-waste management system that connects users, sellers, recyclers, and refurbishers.

The system is built on the PERN stack (PostgreSQL, Express, React, Node.js) and uses cloud computing for scalability, blockchain-inspired verification for seller trust, AI-based recommendation systems for personalized shopping, and chatbot support for user assistance. It also includes an e-waste module that promotes responsible disposal and supports circular economy practices.

The literature survey shows strong influence from research in blockchain transparency, recommendation systems, chatbots, cloud scalability, NLP assistants, and AI-driven recycling systems, all contributing to the design of Local Connect.

Methodologically, the platform uses several key algorithms: collaborative filtering for personalized recommendations, TF-IDF for search ranking, Haversine formula for nearby seller detection, JWT authentication for secure login, and matching algorithms for e-waste routing. Seller verification is handled using a blockchain-inspired audit system to ensure authenticity and prevent fraud.

Security is implemented through encryption, role-based access control, and token-based authentication, while AI chatbots enhance user interaction and support.

The system also includes tools for proctoring-style monitoring and analytics, such as dashboards for tracking activity, evidence review, and policy-based controls, though adapted conceptually for system governance and transparency.

Results show that the platform improves user trust, enables efficient product discovery, and provides an effective channel for e-waste disposal. However, limitations include cold-start recommendation issues, dependence on data accuracy, and challenges in scaling verification and integrations.

Conclusion

The Local Connect platform represents a significant step toward building a transparent, intelligent, and sustainable digital marketplace for electronic products. By integrating verified local retailers into a cloud-based e-commerce ecosystem, the system successfully bridges the trust gap between consumers and sellers while reducing dependence on unverified global marketplaces. Through the use of advanced algorithms—ranging from collaborative filtering for recommendations to TF–IDF–based search and Haversine distance–driven proximity mapping—the platform delivers both personalization and precision in user experience. The inclusion of an e-waste management module further distinguishes Local Connect by promoting environmental responsibility and enabling seamless collaboration between users, recyclers, and refurbishers. In uniting commerce with sustainability, the system not only enhances consumer trust and seller credibility but also contributes to the broader goals of digital empowerment and ecological balance. With its modular architecture, scalable infrastructure, and forward-looking design, Local Connect lays the foundation for the next generation of ethical, transparent, and environmentally conscious e-commerce solutions.

References

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Copyright

Copyright © 2026 Ms. Riya Bante , Mr. Kushagra Jain, Ms. Sanika Ajagekar, Mr. Tanishq Suryawanshi, Mrs. Nilam Patil, Mrs. Farhina Sayyad. 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.