Integrated Grocery Application for Enhanced User Convenience and Efficiency

Abstract: Therising interestinsmart,easy-to-use,andrespon- sibly created mobile apps has resulted in a flexible framework designed for advanced grocery shopping applications. This study puts forward an all-encompassing mobile app framework that aims to enhance the grocery shopping experience by incorporat- ing AI-powered meal planning, suggestions for items based on recipes, budget monitoring in real-time, and voice commands. Rather than developing a single application, the intention is to offerareusableandadjustablemodelthatcan actasthebase for future grocery-related mobileapplications. To achieve this aim, the suggested framework relies on An- droid for mobile app creation and Supabase to handle backend functions such as real-time databases, user authentication, and data storage. Careful consideration has been given to developinga user interface that focuses on accessibility and intentionally avoids dark patterns, which are deceptive design techniques that can mislead users and undermine their freedom of choice. These design aspects are crucial for building trust and ensuring inclu- sivity, particularly for users dependent on assistive technologies. Anapplicationprototypewascreatedandtestedbyagroup of 15 students from Amity University. The app’s usability and effectiveness were assessed using three primary tools: the Cog- nitive Response Questionnaire Index (CRQI), the Engagement Satisfaction Index (ESI), and the App Usability Feedback Form. The findings showed that users were highlysatisfied, interactions were intuitive, and task efficiency was enhanced, especially when managing grocery lists and budgets through voice commands. In summary, this framework offers a practical and user- focused approach for intelligent grocery shopping that can be adapted for different user demographics. Its modular structure, along with a strong backend, positions it as an excellent foundationfordevelopers aimingtocreateethical, efficient, andscalable grocery mobile applications.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-18
DOI
https://doi.org/10.22214/ijraset.2025.71023
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrated Grocery Application for Enhanced User Convenience and Efficiency

Rachna Jain, Prithvi Raj Sharma
International Journal for Research in Applied Science and Engineering Technology
Wireless Sensor Networks and IoT
article

Integrated Grocery Application for Enhanced User Convenience and Efficiency

Rachna Jain, Prithvi Raj Sharma
article en

Abstract

Abstract: Therising interestinsmart,easy-to-use,andrespon- sibly created mobile apps has resulted in a flexible framework designed for advanced grocery shopping applications. This study puts forward an all-encompassing mobile app framework that aims to enhance the grocery shopping experience by incorporat- ing AI-powered meal planning, suggestions for items based on recipes, budget monitoring in real-time, and voice commands. Rather than developing a single application, the intention is to offerareusableandadjustablemodelthatcan actasthebase for future grocery-related mobileapplications. To achieve this aim, the suggested framework relies on An- droid for mobile app creation and Supabase to handle backend functions such as real-time databases, user authentication, and data storage. Careful consideration has been given to developinga user interface that focuses on accessibility and intentionally avoids dark patterns, which are deceptive design techniques that can mislead users and undermine their freedom of choice. These design aspects are crucial for building trust and ensuring inclu- sivity, particularly for users dependent on assistive technologies. Anapplicationprototypewascreatedandtestedbyagroup of 15 students from Amity University. The app’s usability and effectiveness were assessed using three primary tools: the Cog- nitive Response Questionnaire Index (CRQI), the Engagement Satisfaction Index (ESI), and the App Usability Feedback Form. The findings showed that users were highlysatisfied, interactions were intuitive, and task efficiency was enhanced, especially when managing grocery lists and budgets through voice commands. In summary, this framework offers a practical and user- focused approach for intelligent grocery shopping that can be adapted for different user demographics. Its modular structure, along with a strong backend, positions it as an excellent foundationfordevelopers aimingtocreateethical, efficient, andscalable grocery mobile applications.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Amity University (IN), Amity University (AE)
Openalex Percentile: Top 88%
Wireless Sensor Networks and IoT
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