Using AI to Control the Cost of a Buffet Restaurant

KAMII Restaurant Example

Abstract

This paper focuses on the application of AI technology to control costs in the buffet industry, using the example of the restaurant KAMII as a case study. Our analysis of KAMII and the buffet industry overall has revealed that a significant proportion of operational issues are related to cost control. Moreover, there is also room to reduce restaurant costs. To address these challenges, we have drawn inspiration from Haidilao’s “Smart Cloud Migration” technology and propose to leverage AI for dish prediction and ingredient usage control. By doing so, we aim to achieve cost control not only for KAMII, but also for the broader buffet industry, as well as the catering industry. Ultimately, the project aims to generate practical solutions for real-world problems.