Augmented Reality Mobile Shopping Assistant

The traditional business model, brick-and-mortar retail businesses are facing survival challenge due to the trend of online shopping which offer more discounts, better customization and personalized offer. It has many limitations for example shoppers can only see the product without additional information and unable to make instant comparison among similar products and unable to look at product reviews to make informed decision. Shoppers’ shopping experience have been rising continuously which include the preference for an omnichannel experience. In this regard, digital retail aims to engage more customers, drive sales and offer unique shopping experience. Hence, this research has utilized Augmented Reality to enhance shopping experience, which lead to the development of ShopAssistAR. It is a transformative mobile application that combines Augmented Reality (AR) technology and a comprehensive digital product catalog to enhance the conventional supermarket shopping experience. The application leverages marker-based AR to enable customers to scan specific product markers, instantly presenting pertinent product details on their mobile device's live camera feed. This information, drawn from a digital catalog integrated within the application, provides comprehensive details such as pricing, promotional offers, and nutritional facts, thereby offering an immersive and informative shopping experience. ShopAssistAR also incorporates an integrated product browsing feature for customers to plan their shopping list thus improving efficiency, as well as a video advertisement platform to acquaint customers with new products and deals. By unifying these innovative features in a user-friendly interface, ShopAssistAR redefines supermarket shopping by delivering cost-effectiveness, time efficiency, and enhanced consumer engagement.

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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2025-03-17
DOI
https://doi.org/10.37934/araset.63.1.299316
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Augmented Reality Mobile Shopping Assistant

Jie Ren, Ella Cranmer, Han Foon Neo, Chin Teo Chuan
Journal of Advanced Research in Applied Sciences and Engineering Technology
Transportation and Mobility Innovations
article

Augmented Reality Mobile Shopping Assistant

Jie Ren, Ella Cranmer, Han Foon Neo, Chin Teo Chuan
article en

Abstract

The traditional business model, brick-and-mortar retail businesses are facing survival challenge due to the trend of online shopping which offer more discounts, better customization and personalized offer. It has many limitations for example shoppers can only see the product without additional information and unable to make instant comparison among similar products and unable to look at product reviews to make informed decision. Shoppers’ shopping experience have been rising continuously which include the preference for an omnichannel experience. In this regard, digital retail aims to engage more customers, drive sales and offer unique shopping experience. Hence, this research has utilized Augmented Reality to enhance shopping experience, which lead to the development of ShopAssistAR. It is a transformative mobile application that combines Augmented Reality (AR) technology and a comprehensive digital product catalog to enhance the conventional supermarket shopping experience. The application leverages marker-based AR to enable customers to scan specific product markers, instantly presenting pertinent product details on their mobile device's live camera feed. This information, drawn from a digital catalog integrated within the application, provides comprehensive details such as pricing, promotional offers, and nutritional facts, thereby offering an immersive and informative shopping experience. ShopAssistAR also incorporates an integrated product browsing feature for customers to plan their shopping list thus improving efficiency, as well as a video advertisement platform to acquaint customers with new products and deals. By unifying these innovative features in a user-friendly interface, ShopAssistAR redefines supermarket shopping by delivering cost-effectiveness, time efficiency, and enhanced consumer engagement.

Journal of Advanced Research in Applied Sciences and Engineering TechnologyVol. 63(1)
Manchester Metropolitan University (GB), Multimedia University (MY)
Openalex Percentile: Top 96%
Transportation and Mobility Innovations
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Augmented Reality Mobile Shopping Assistant — Jie Ren, Ella Cranmer, et al. · Journal of Advanced Research in Applied Sciences and Engineering Technology (2025) | TGRS Research Map | TGRS