Publicação
AI shopping assistant
| datacite.subject.fos | Engenharia e Tecnologia | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.advisor | Lopes, Rui Pedro | |
| dc.contributor.author | Alrahman, Amr Abd | |
| dc.date.accessioned | 2025-11-25T11:26:55Z | |
| dc.date.available | 2025-11-25T11:26:55Z | |
| dc.date.issued | 2025 | |
| dc.date.submitted | 2025 | |
| dc.description.abstract | This project addresses the challenge of online shoppers feeling overwhelmed by the vast array of options available on e-commerce platforms, a problem that often leads to cart abandonment and revenue losses for store owners. The proposed solution is the development of an AI-powered virtual fashion assistant capable of understanding customer preferences in real-time and suggesting curated product recommendations. By offering personalized, streamlined guidance, the assistant simplifies the journey from browsing to checkout while preserving the customer’s freedom to design a custom look. This approach not only enhances user satisfaction but also increases conversion rates and customer retention for online retailers. | por |
| dc.identifier.tid | 204055849 | |
| dc.identifier.uri | http://hdl.handle.net/10198/35141 | |
| dc.language.iso | eng | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Fashion assistant | |
| dc.subject | Virtual assistant | |
| dc.subject | Artificial intelligence | |
| dc.subject | E-commerce | |
| dc.subject | Personalized shopping | |
| dc.title | AI shopping assistant | |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| thesis.degree.name | Dissertação de mestrado em Informática |