THE IMPACT OF CUSTOMER FEEDBACK ON IMPROVING THE QUALITY OF RESTAURANT SERVICE: CASE OF TURKESTAN

Abstract

This article presents current research in the field of analyzing customer feedback in the restaurant industry, improving the quality of dishes and improving the level of service. The focus is on the role of customer feedback analysis as a key tool for identifying strengths and weaknesses in restaurant operations in Turkestan city. Modern data analysis methods, including natural language processing (NLP), machine learning, and questionnaires, are considered, which make it possible to effectively collect and analyze information about customer preferences and satisfaction levels. Special attention is paid to the quality of service in restaurants, including aspects such as speed of service, staff empathy and reliability, which have a significant impact on customer satisfaction.
In addition, the article provided a comparative analysis of methods for analyzing reviews and introducing innovations in improving the quality of food and service using the example of different countries. It is concluded that the use of technology for feedback analysis, including product quality monitoring, makes it possible to respond to customer requests in a timely manner and increase customer satisfaction, which is critically important for the competitiveness of the restaurant business. For data processing, we utilized the JASP and Taguette software packages, both of which are widely used in contemporary research. The purpose of the study is to analyze customer feedback in order to identify factors affecting their satisfaction with the quality of food and service in the restaurant industry, as well as to develop recommendations for improving key aspects of restaurant operations.