Project Abstract

Abstract
Customer satisfaction is a critical factor for the success and sustainability of businesses in the retail industry. This research project aims to analyze the various factors that influence customer satisfaction in the retail industry, using a Bayesian statistical approach. The study will focus on understanding the complex interplay of factors that impact customer satisfaction, such as product quality, pricing, customer service, and convenience. The research will begin with a comprehensive review of existing literature on customer satisfaction in the retail industry. This literature review will provide insights into the current state of knowledge on the subject and identify gaps in the existing research that this study seeks to address. By synthesizing and analyzing the findings from previous studies, this research will build a solid theoretical foundation for the analysis of factors influencing customer satisfaction. The methodology for this research will involve collecting primary data through surveys and interviews with customers of various retail outlets. The data collected will be analyzed using Bayesian statistical techniques to identify the most significant factors that impact customer satisfaction. Bayesian analysis offers a flexible and powerful framework for modeling complex relationships and uncertainties in the data, allowing for a more nuanced understanding of customer satisfaction drivers. The findings of this research are expected to provide valuable insights for retail managers and policymakers in enhancing customer satisfaction and loyalty. By identifying the key factors that drive customer satisfaction, businesses can tailor their strategies and operations to meet customer expectations more effectively. Additionally, the research will contribute to the academic literature on customer satisfaction in the retail industry, filling gaps in knowledge and providing a foundation for future research in this area. In conclusion, this research project on the analysis of factors influencing customer satisfaction in the retail industry using a Bayesian approach holds significant implications for both academia and industry. By uncovering the key drivers of customer satisfaction, businesses can improve their competitiveness and build stronger relationships with their customers, leading to long-term success and sustainability in the retail sector.

Project Overview