EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published
This submission belongs to the session 04. USE.DAT-08: USA-Europe Data Analysis Trends Congress, Cambridge, UK-Bilbao, Basque Country-Miami, USA, 2022. of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
27 May, 2022
Academic Editor
author-avatarHumbert G. Díaz
Citation
Rashmi Shekhar, Vartika ., Artificial Intelligence in Online Food Delivery: Exploring Advantages, Opportunities, and Challenges Ahead, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-12635
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Artificial Intelligence in Online Food Delivery: Exploring Advantages, Opportunities, and Challenges Ahead

1. Amity Institute of Information Technology, Amity University Patna
2. Amity University Patna
Abstract

Since the outbreak of COVID-19 Pandemic and the following lockdown, online food delivery services have been evolving like never before. Although technology is not the first thing that comes to mind when we think of food delivery, technology indeed is becoming an integral part of the online food delivery industry. One of the technologies which has revolutionized the food delivery industry is Artificial Intelligence (AI). AI in simplest terms, is the ability of computers and machines to learn, think, and decide just as humans do. AI not only lets food delivery companies estimate user choices and preferences, it also allows them to function more efficiently and accurately. This paper explores how online food delivery platforms are continuously leveraging AI to enhance customer satisfaction by keeping up with the rapidly-changing consumer behaviour. This paper also attempts to identify the facets of AI, the benefits and opportunities AI offers, and the challenges associated with its use. The research is limited to the Indian context and secondary sources of data have been used for the purpose.

Keywords
Online food delivery
Artificial Intelligence
Machine Learning
Consumer-behaviour
Technology
Manuscript
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