Abstract
The integration of artificial intelligence (AI) tools into Malaysia’s retail sector is revolutionizing the holiday shopping experience. As Malaysian consumers increasingly embrace AI-driven platforms, they benefit from personalized shopping experiences, real-time price monitoring, and tailored product recommendations. This transformation is particularly evident during key retail events such as 11.11, 12.12, Cyber Monday, and year-end sales. By enabling price comparisons, delivering customized gift suggestions, and offering seamless online shopping experiences, AI is reshaping how Malaysians approach festive shopping. With capabilities to track prices across various e-commerce platforms, assist in discovering culturally significant gifts, and help shoppers in making informed decisions, AI tools offer a more efficient, personalized, and enjoyable shopping experience. The future of holiday shopping in Malaysia is increasingly defined by AI's capacity to enhance consumer convenience while ensuring the festive purchasing journey remains aligned with individual preferences and budgets.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Jamaludin, Mohd Fazil mfazil@uitm.edu.my Adzahar, Khairul Azfar azfar938@uitm.edu.my Saharan, Mohd Shafiz shafizsaharan@uitm.edu.my |
| Contributors: | Contribution Name Email / ID Num. Advisor Mustapha, Yanti Aspha Ameira ameira574@uitm.edu.my Chief Editor Mohamed Isa, Zuraidah zuraidah588@uitm.edu.my Editor Anuar, Azyyati azyyati@uitm.edu.my |
| Subjects: | H Social Sciences > HF Commerce > Retail trade H Social Sciences > HF Commerce > Business societies > Office management |
| Divisions: | Universiti Teknologi MARA, Kedah > Sg Petani Campus > Faculty of Business and Management |
| Journal or Publication Title: | FBM Insights |
| UiTM Journal Collections: | Other UiTM Journals > FBM Insights UiTM Cawangan Kedah |
| ISSN: | 2716-599X |
| Volume: | 11 |
| Page Range: | pp. 53-56 |
| Keywords: | AI, Retail, Malaysia, Festive, Consumer |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/141825 |
