
- CollegeLondon College of Fashion
- CourseMA Global Fashion Retailing
- Graduation year2026
This project explores how AI Virtual Assistants (AIVAs) can redefine luxury e-commerce experiences in this digital world. With Gen Z consumers increasingly demanding convenience, authenticity, and personalisation, this study investigates how AIVAs can bring in human-like luxury touch-points online. Using a qualitative, phenomenological approach, the research combines focus groups and expert interviews to identify what makes AI “luxury level Virtual Assistant” focusing on trust, relational personalisation, and brand alignment. The resulting framework provides both theoretical and managerial insights, guiding luxury brands on how to integrate AI ethically while maintaining exclusivity, heritage, and brand integrity.
Research and process
Research and Process
The research process followed a qualitative methodology, drawing on the Technology Acceptance Model (TAM) and Uses & Gratifications (U&G) theory. Data was collected through focus groups with Gen Z consumers (n=6) and semi-structured interviews with luxury and retail professionals (n=5). Braun and Clarke’s thematic analysis identified four key themes: Operational Excellence, Relational Personalisation, Brand Alignment, and Trust & Privacy. These themes informed the creation of an integrated “Luxury AIVA Framework,” which merges theoretical insight with practical guidance.
The process included developing ethical documentation, consent forms, and a thematic codebook, followed by visual synthesis into a professional artefact. Each stage demonstrates a commitment to rigour, transparency, and creativity, translating academic research into real-world retail innovation.
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Bringing luxury service to your screen
This project explores how AI Virtual Assistants (AIVAs) can redefine luxury e-commerce experiences in this digital world. With Gen Z consumers increasingly demanding convenience, authenticity, and personalisation, this study investigates how AIVAs can bring in human-like...
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