AI based Site for Refurbished Products

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-21
DOI
https://doi.org/10.5281/zenodo.14539760
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

AI based Site for Refurbished Products

Zenodo (CERN European Organization for Nuclear Research)
Bioinformatics and Genomic Networks
article

AI based Site for Refurbished Products

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 62%
Bioinformatics and Genomic Networks
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