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     2026:3/2

International Journal of Future Engineering Innovations

ISSN: (Print) | 3049-1215 (Online) | Impact Factor: 8.25 | Open Access

Comparative Analysis of AI-Enhanced UI/UX Design Practices in E-commerce Websites: A Case Study of the USA and the UK

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Abstract

This study presents a comprehensive comparative analysis of AI-enhanced User Interface (UI) and User Experience (UX) design practices within the context of e-commerce websites, focusing on the unique approaches adopted by the USA and the UK. The exploration delves into the integration of Artificial Intelligence (AI) technologies, such as machine learning algorithms, chatbots, and personalized recommendation engines, to enhance the overall user journey on e-commerce platforms. The case study evaluates prominent e-commerce websites from both regions, examining the implementation of AI-driven features and their impact on user engagement, conversion rates, and customer satisfaction. Key aspects under scrutiny include the customization of interfaces based on user behavior, the efficiency of AI-powered chatbots in addressing customer queries, and the efficacy of recommendation systems in influencing purchasing decisions. By drawing parallels and distinctions between the AI-embedded UI/UX strategies employed in the USA and the UK, this research aims to unveil the innovative trends, challenges, and user-centric approaches that define the e-commerce landscape in these two leading global markets. The findings contribute valuable insights for e-commerce practitioners, designers, and stakeholders seeking to leverage AI technologies to optimize the user experience and drive business success.

How to Cite This Article

Bukky Okojie Eboseremen, Tamuka Mavenga Moyo, Oyetunji Oladimeji, Joshua Oluwagbenga Ajayi, Sylvester Tafirenyika, Eseoghene Daniel Erigha, Ayorinde Olayiwola Akindemowo, Afeez A Afuwape, Farid Oladega (2024). Comparative Analysis of AI-Enhanced UI/UX Design Practices in E-commerce Websites: A Case Study of the USA and the UK . International Journal of Future Engineering Innovations (IJFEI), 1(6), 48-57. DOI: https://doi.org/10.54660/IJFEI.2024.1.2.48-57

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