A Review of Food Ordering Apps: Enhancing Convenience and Culinary Experiences

Authors

  • Mayank Chandigarh University.
  • Jaypraklash Kumar Chandigarh University.
  • Ankit Kumar Singh Chandigarh University.

Keywords:

Culinary Experiences, Reduced Function Devices, Food Ordering

Abstract

Objective: The purpose of this study is to provide insights into food delivery services, discuss the history of food delivery apps in general as well as how to place an order for meals using one of these apps. It is assumed that this period is the era of information technology and people are accustomed to using computers and mobile devices today. Methods: This study majorly focuses on the 14 various categories of food ordering methods that are available at present, both manual and computerized. Then a thorough explanation of each category is followed. Later, several frequently used applications were assessed. The technology behind these applications is then highlighted.
Findings: According to the study’s findings, today’s generation is increasingly using digital applications in their meal-ordering systems. Application/Improvement: However, there are still significant usability problems with the existing food delivery apps that are accessible. Mobile applications that strictly adhere to usability norms and criteria must be designed.
Conclusion: The proposed systems for meal ordering, food delivery, related applications are presented in this study. There are, however, numerous disadvantages. In the traditional procedure, the waiter takes the customer’s order, records it on paper, then delivers it to the kitchen for processing. The introduction of a personal digital assistant system addresses the shortcomings of the traditional paper-based approach. Then came wireless meal ordering systems, which allowed customers to provide comments in real-time. Although the ordering and delivery of meals is now done via mobile devices, there is still significant usability difficulties. Now, in order to address all of these systems’ usability difficulties and current client needs, we are developing a usable meal delivery application.

References

Harris HKSDF. Software Development aspects of a mobile food ordering system. 2014. [Google Scholar]

Chavan V, Jadhav P, Korade S, et al. customizable online food ordering system using web based application. International Journal of Innovative Science, Engineering & Technology 2015; 2(4): 722-7. [Google Scholar]

Islam R, Islam R, Mazumder T. Mobile application and its global impact. International Journal of Engineering & Technology 2010; 10(6): 72-8. [Google Scholar]

Bhargave A, Jadhav N, Joshi A, et al. Digital ordering system for restaurant using Android. International Journal of Scientific and Research Publications 2013; 3(4): 1-7. [Google Scholar]

Shinde R, Thakare P, Dhomne N, et al. Design and implementation of digital dining in restaurants using android. International Journal of Advance Research in Computer Science and Management Studies 2014; 2(1): 379-384.

Patil RV, Kale A, Pawar D, et al. Wireless customizable food ordering system for a restaurant using Apriori and K-means algorithm. Imperial Journal of Interdisciplinary Research 2017; 3(4).

Samsudin NA, Khalid SKA, Kohar MFAM, et al. A customizable wireless food ordering system with realtime customer feedback. In: IEEE Symposium on Wireless Technology and Applications (ISWTA), 2011; pp. 186-191. [Google Scholar]

Bora PR, Gupta E. Application on order management system in restaurants. International Journal of Application or Innovation in Engineering & Management 2012; 1(2): p59-62. [Google Scholar]

Asan NB, Nordin NA, Shariff Z. Zigbee-based smart ordering system (SOS). International Journal of Computer Trends and Technology 2014; 11.

Samsudin NA, Khalid SKA, Kohar MFAM, et al. A customizable wireless food ordering system with real time customer feedback. In: IEEE Symposium on Wireless Technology and Applications (ISWTA) 2011; pp. 186-191. [Google Scholar]

Patil RV, Kale A, Pawar D, et al. Wireless customizable food ordering system for a restaurant using Apriori and K-means Algorithm. Imperial Journal of Interdisciplinary Research 2017; 3(4).

Published

2023-10-13