Virtual couture: exploring the impact of AI-driven VitOn software on customer engagement and conversion in Luiss merchandising

Legnini, Marco (A.A. 2022/2023) Virtual couture: exploring the impact of AI-driven VitOn software on customer engagement and conversion in Luiss merchandising. Tesi di Laurea in Artificial intelligence in marketing, Luiss Guido Carli, relatore Luigi Laura, pp. 71. [Master's Degree Thesis]

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Abstract/Index

Literature review. Al in marketing: concepts and applications. Virtual try-on technology: state of the art. Customer engagement strategies in retail. The VitOn software: technical details. The role of Python libraries in VitOn development. The initial development process: understanding Python libraries. The agile development methodology in the creation of VitOn. Overcoming challenges in VitOn development: expanding programming. The final stages of development: incorporating Lens Studio to realize. Testing and evaluation of VitOn. The use of Lens Studio in testing VitOn. Design and implementation of the VitOn software: technical details. Ethical and privacy considerations in VitOn implementation. VitOn implementation: from development to real-world application. Implementing VitOn in a store environment: use of webcam for real-time. Core functionality of VitOn: virtually dressing customers in real-time. Evaluation and impact assessment of VitOn in a retail setting. Design and implementation. User acceptance and satisfaction surveys. Design and implementation of VitOn in a retail environment. Design and setup of the VitOn system in the store. User feedback and experiences. Sales performance analysis. Future applications and enhancements of VitOn. Potential applications of VitOn beyond marketing. Improvements and enhancements for future iterations. Challenges and opportunities for wider adoption.

References

Bibliografia: pp. 69-71.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Management, English language (LM-77)
Chair: Artificial intelligence in marketing
Thesis Supervisor: Laura, Luigi
Thesis Co-Supervisor: Marengo, Luigi
Academic Year: 2022/2023
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 08 Jan 2024 14:06
Last Modified: 08 Jan 2024 14:06
URI: https://tesi.luiss.it/id/eprint/37387

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