Moyeenudin, H. M. and Bindu, G. and Anandan, R. (2021) Hyper-Personalization of Mobile Applications for Cloud Kitchen Operations. In: Lecture Notes in Networks and Systems. Springer, pp. 247-255.
Full text not available from this repository. (Request a copy)Abstract
The initial design of cloud kitchen is to deliver the food based on the order received online with the assistance online food ordering system. Also, the geo-tracking facility acts as a bridge to providing the ordered food at their doorstep. Hyper-personalization of food (HPF) is a cutting-edge marvel in a contemporary situation around the globe with the influence of application program interface (API) in mobile applications, the customers of cloud kitchen could create their meal by choosing the ingredients and quantities using an online food delivery app according to their preferences for a nutritious and balanced diet, this builds a stronger relationship between the customer and connected cloud kitchens, and in future, this will contribute for regular business. This study aims to recognize the customer preferences on ordering food online with their feedback. It also focuses on the cloud kitchen’s performance with the customer’s anticipation in the present trend. The outcome of this study proves that the online food ordering apps must customize their options that permit the customers to make modifications according to their health requirements.
Item Type: | Book Section |
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Subjects: | Hotel and Catering Management > Marketing Management |
Divisions: | Hotel and Catering Management |
Depositing User: | Mr IR Admin |
Date Deposited: | 10 Oct 2024 06:40 |
Last Modified: | 10 Oct 2024 06:40 |
URI: | https://ir.vistas.ac.in/id/eprint/9653 |