Augmented reality in omnichannel fast fashion: a fact-based analysis of returns impact on customer satisfaction
Spadini, Riccardo (A.A. 2024/2025) Augmented reality in omnichannel fast fashion: a fact-based analysis of returns impact on customer satisfaction. Tesi di Laurea in International operations and global supply chain, Luiss Guido Carli, relatore Lorenza Morandini, pp. 110. [Master's Degree Thesis]
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Abstract/Index
Problem statement (high returns in fast fashion e-commerce). Relevance to fashion retail and data science. Literature review. AR and VR in fashion retail: definitions, technologies and adoption trends. Omnichannel customer experience: integration of AR/VR and impact on engagement. Impact on consumer behavior and returns: virtual try-on, decision-making and statistics on returns. Sustainability in fashion retail: challenges of fast fashion, reverse logistics and role of AR/VR. Research gap and theoretical framework: technology adoption, customer experience and sustainability models. Research methodology. Research design: simulation-based quantitative study grounded in literature and industry data. Data sources and assumptions: academic papers, industry reports and start-up case studies. Dataset simulation process. Data analysis plan. Reliability, validity and limitations. Descriptive results of the simulated dataset. Impact of AR/VTO on conversion rates. Impact on returns and reverse logistics. Economic outcomes: margins, costs and revenues. Sustainability outcomes: CO2 savings and environmental implications. Scenario and sensitivity analysis.
References
Bibliografia: pp. 94-110.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | International operations and global supply chain |
| Thesis Supervisor: | Morandini, Lorenza |
| Thesis Co-Supervisor: | Antonelli, Ginevra Assia |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 10 Feb 2026 15:46 |
| Last Modified: | 10 Feb 2026 15:46 |
| URI: | https://tesi.luiss.it/id/eprint/44770 |
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