Special lssues

Machine Learning and AI in Enhancing Cloud Kitchen Business Models

Submission Deadline: 31 July 2022 (closed)

Guest Editors

Dr. Rajalakshmi Subramaniam, Hindustan Institute of Technology and Science, India.
Dr. Sarfraz Fayaz Khan, Algonquin College Ottawa Campus, Canada.
Dr. Sanjay Mohapatra, Utkal University, India.


The hospitality sector is one of the worst affected business sectors across the globe after the outbreak of the Covid19 pandemic. According to the recent report published by the UNCTAD, it has been identified that the outbreak of Covid19 and the lockdown restrictions imposed by the governing bodies of various nations across the globe has resulted in a loss of nearly $4 trillion to the global GDP in the year 2020 alone. The second wave has still worsened the situation. The extent to which the people visit restaurants has reduced dramatically.

Cloud kitchens are nothing but facilities established for the purpose of producing food and commercializing the produced food through partnering with online delivery companies and delivering the food at the doorstep of the consumers. Cloud kitchen is one of the most cost-effective ways of running a restaurant when compared with that of a traditional brick and mortar stores. Further they facilitate experimenting different cooking approaches, menus, services and ideas through a minimal investment. Even though cloud kitchens have been prevalent since the last decade, their necessity has now been understood by every single restaurant brand after the outbreak of Covid19 pandemic.

Many reputed restaurant brands like the ITC, Radisson Group, the Taj Group etc have started to focus towards cloud kitchen models because of the restrictions imposed on dine-in services. Cloud kitchens have actually become the saviours of the hospitality industry especially after the outbreak of the pandemic. In the end it is the survival of the fittest makes any business venture sustainable.

This special Issue aims towards publishing selected contributions on the concept of cloud kitchens, their evolution, role in Internet of Things and Machine learning in promoting the idea of cloud kitchens, role of online delivery applications in promoting cloud kitchen businesses also will take into consideration the contributions that talk about innovative technologies and practices to be adapted in the cloud kitchen business in order to revive the economy of the restaurant industry across the globe.



Potential topics include but are not limited to


Internet of Things (IoT) and cloud kitchens

Machine learning and cloud kitchens

Innovation in cloud kitchen business model

Role of online delivery partners in restaurant sector

Information systems and cloud kitchens

Cloud kitchens – AI based Promotion and branding

Technology and Cloud kitchens post Covid19 outbreak

Technology acceptance model and cloud kitchens

Online delivery applications and cloud kitchens


Machine learning based prediction of food preferences of consumers, hospitality sector, AI and deep learning for hospitality sector

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