AI-driven recommendations in mobile shopping apps: benefits and risks to consumers

Abdullah, Fatihah Norazami (2025) AI-driven recommendations in mobile shopping apps: benefits and risks to consumers. Bulletin. Universiti Teknologi MARA, Kedah, Universiti Teknologi MARA, Kedah.

Abstract

Mobile shopping apps have fundamentally reshaped the way people shop, establishing themselves as a cornerstone of modern digital commerce. These apps make shopping more convenient than ever, allowing consumers to browse, compare, and purchase products seamlessly from their smartphones. In 2023, mobile commerce represented nearly 8% of all retail transactions, and this share is expected to exceed 10% by 2025, reflecting its swift adoption worldwide. Features like personalized promotions, one-click purchases, and integration with mobile wallets enhance the shopping experience, making it more intuitive and engaging. As a result, retailers are prioritizing mobile-first strategies, with reports showing that more than half of mobile users engage with shopping apps several times each week (Marnewick, 2023).

Metadata

Item Type: Monograph (Bulletin)
Creators:
Creators
Email / ID Num.
Abdullah, Fatihah Norazami
fatih876@uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Patron
Said, Roshima
roshima712@uitm.edu.my
Advisor
Shaharudin, Mohd Rizaimy
rizaimy@uitm.edu.my
Chief Editor
Anuar, Azyyati
azyyati@uitm.edu.my
Subjects: H Social Sciences > HF Commerce > Consumer behavior. Consumers' preferences. Consumer research. Including consumer profiling
H Social Sciences > HF Commerce > Consumer satisfaction
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus > Research Management Institute (RMI), UiTM Cawangan Kedah
Journal or Publication Title: Buletin RMU4U
ISSN: 2805-475X
Keywords: Mobile shopping apps, Mobile commerce (m-commerce), Mobile-first strategies
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/118662
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