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ISSN 2063-5346
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THE STUDY OF CUSTOMER SATISFACTION IN ONLINE FOOD PORTAL WITH SPECIAL REFERENCE TO CHENNAI REGION

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1Mr.B. ABDUL HASEEB, 2Ms.M.RAMYA
» doi: 10.31838/ecb/2023.12.s1-B.338

Abstract

The purpose of this study is to investigate consumer satisfaction with Chennai-area online meal delivery services. The study looks into the variables that affect customer satisfaction and the connection between it and loyalty. A survey of 500 people who had utilized online food delivery services in the Chennai area was performed to gather the data. The results show that the user interface, delivery speed, and food quality are the most important variables that influence consumer happiness. The study also shows that customer loyalty is positively impacted by customer happiness, and clients who are happy with the services are more likely to stick with the same portal in the future. The study's recommendations for food delivery platforms aim to raise client happiness and keep clients loyal. The objectives of the study are: 1.) To identify the factors that influence customer satisfaction with online food delivery portals in the Chennai region, 2.) To examine the relationship between customer satisfaction and loyalty towards online food delivery portals, 3). To determine the level of customer satisfaction with online food delivery portals in the Chennai region. Create the instruments for collecting the data, which could include interview questions and survey questionnaires. The survey could ask questions regarding client demographics, usage trends, and satisfaction levels and be conducted in person or online. In-depth feedback regarding customers' experiences with the food delivery portals could be gathered through interviews with a smaller subset of customers. gather the data collection can start as soon as the instruments have been created. While the interviews might be conducted over the phone or in person, the survey could be distributed by email or social media. The data should be analysed. Statistical software and methods like Chi square analysis, factor analysis, and correlation analysis can be used to analyze the acquired data. The findings can be utilized to identify the major factors influencing customer satisfaction and offer suggestions for raising it.

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