AI based Site for Refurbished Products
Year: 2024
Type: article
Abstract: The rise in consumer awareness around environmental sustainability has highlighted the importance of sustainable practices, including the use of refurbished products as a cost-effective and eco-friendly alternative to new goods. However, the refurbished product market remains fragmented, with trust and transparency challenges. This project proposes an AI- powered e-commerce platform that enhances the buying and selling experience for refurbished products by leveraging advanced machine learning algorithms. Key features include AI-driven product authentication, dynamic price optimization, personalized recommendations, a robust rating and review system, and partnerships with certified refurbishing facilities to promote sustainable sourcing. By addressing market limitations, this platform aims to foster a reliable and transparent ecosystem for refurbished goods, empowering consumers with affordable, high-quality options while supporting a circular economy and reducing environmental impact.
Authors: Kirupa P., Akash A., Disha S., Gokul M., Hirthick S., Shruthi M., Sundhareshwaran R.
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6930254611
FWCI:
Cites:
Cited by:
Related to: