Percorrer por autor "Saffar, Yannick Said"
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- Enhancing e-commerce efficiency : exploring the role of an AI-powered AR foot scanning tool in reducing returns and enhancing customer satisfactionPublication . Saffar, Yannick Said; Rita, MiguelThe swift development of Augmented Reality and Artificial Intelligence is revolutionizing e-commerce by providing solutions to problems. The possibility of how an imaginary AI-powered augmented reality foot scanning tool could address major problems in online footwear retail, such as high return rates and customer discontent from inaccurate size, is examined in this thesis. This study combines quantitative survey data from 99 participants with qualitative interview data. The data will be used to approve or reject the hypotheses. But also, to determine consumer perceptions and the relationship between usability, trust, and sustainability concerns. Results show that consumers who indicates that the imaginary tool to be accurate are more satisfied with their purchases and are less likely to return them. This underlines the potential of such a tool to improve sustainability and reduce logistical inefficiencies. The data indicated that convenience and seamless integration are important considerations for frequent usage. Beside that the results also show that younger customers have a higher willingness to use AR solutions. By showing retailers how to refine user-friendly design, address privacy concerns, and spark adoption through targeted marketing, this study drives progress for both scholarly research and the business world. Beside that the need for more research on the long-term effects of AR technology in retail, as well as regional variations and various demographic affects is addressed. This thesis outlines a strategy for using AI and AR to create a more sustainable and effective online shopping experience by addressing the gap between invention and deployment.