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This work aims to develop an AI-powered multi-agent system that provides personalized fashion recommendations in retail settings.

April 26, 2026Open Access

Repository Copy of: AI-Powered Multi-Agent Fashion Assistant for Personalized Retail Recommendations

Key Points

This work aims to develop an AI-powered multi-agent system that provides personalized fashion recommendations in retail settings.
Utilizes AI algorithms for recommendation generation
Implements multi-agent system architecture for task delegation
Focuses on creating a user-friendly interface for personalized interactions.
Successful integration of AI and multi-agent systems in retail fashion recommendations
Demonstrated improvements in user satisfaction and engagement
Enhanced personalization resulted in higher conversion rates.

Abstract

This record is a repository-preserved copy of an article originally published in The European Journal of Research and Development by Orclever Science it is not the version of record, and Zenodo is not the publisher of this work. Version of Record (primary publication): https://doi.org/10.56038/ejrnd.v5i1.755 Publisher: Orclever Science & Research Group. Journal: The European Journal of Research and Development. For citation, please use the Crossref DOI and the journal citation above — not the Zenodo DOI.

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