Repository logo
 
Publication

AI shopping assistant

datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.advisorLopes, Rui Pedro
dc.contributor.authorAlrahman, Amr Abd
dc.date.accessioned2025-11-25T11:26:55Z
dc.date.available2025-11-25T11:26:55Z
dc.date.issued2025
dc.date.submitted2025
dc.description.abstractThis 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.tid204055849
dc.identifier.urihttp://hdl.handle.net/10198/35141
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectFashion assistant
dc.subjectVirtual assistant
dc.subjectArtificial intelligence
dc.subjectE-commerce
dc.subjectPersonalized shopping
dc.titleAI shopping assistant
dc.typemaster thesis
dspace.entity.typePublication
thesis.degree.nameDissertação de mestrado em Informática

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Amr Alrahman.pdf
Size:
457.99 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: