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All Journal International Journal of Advances in Applied Sciences
Alias, Malyssa
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Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Artificial intelligence-powered image recognition retail checkout systems Alias, Malyssa; Saidi, Dhaifina; Jia Huey, Lim; Qing Fang, Lee; S. Ragunathan, Durghaashini; Poh Soon, JosephNg; Koo Yuen, Phan; Jit Theam, Lim; See Wan, Wong
International Journal of Advances in Applied Sciences Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i1.pp187-197

Abstract

The integration of artificial intelligence (AI) with big data analytics leads to substantial transformations in the retail sector. This research explores the impact of AI-powered image recognition checkout systems on the retail industry, focusing on operational efficiency, customer experience, and resource waste. Employing a mixed-methods approach, this study combines usability testing and data analytics to assess the viability of this technology in attaining automation and accuracy in retail operations. The study focuses on the creation of robust, resource-efficient systems that foster long-term industrial growth. The findings show that AI-powered solutions not only speed the checkout process but also contribute to sustainable infrastructure by reducing resource consumption and increasing energy efficiency. This report offers significant information, like the impact of AI-powered image recognition checkout systems on operational efficiency, customer experience, and the role of AI in promoting sustainable infrastructure for retailers and governments looking to advance the digitalization of the retail industry.
Co-Authors Jia Huey, Lim Jit Theam, Lim Koo Yuen, Phan Poh Soon, JosephNg Qing Fang, Lee S. Ragunathan, Durghaashini Saidi, Dhaifina See Wan, Wong