SalesEye: A Fashion Retail Management System with Demand Prediction

Abstract

The fashion industry is a vast, ever-evolving, and highly impactful sector within the global economy. Within this industry, fashion retail plays a pivotal role as it serves as the intermediary connecting manufacturers and consumers. Given the volatile nature of the fashion industry, forecasting demand for fashion items has grown increasingly complex. This study aims to develop a solution that gathers and analyzes retail sales data while predicting the demand for men's fashion products. This initiative is driven by the industry's need to address challenges in optimizing sales. Furthermore, the advent of sophisticated data analysis tools powered by artificial intelligence models has brought about a positive influence in the field of business analytics. Power BI, a popular data analytics tool, has been utilized in this research for data analysis and visualization to aid the prediction of customer demand for men's fashion products through a dedicated web application. This paper presents the process of analyzing sales, forecasting demand, and the outcomes of each segment.