E-Commerce Orders and Sales Performance Analysis Using Power BI

In today's digital business environment, e-commerce platforms generate large volumes of transactional data that require efficient analysis for better decision-making. This research paper presents an E-Commerce Orders and Sales Performance Analysis system developed using Microsoft Power BI during an internship at Maestro Intellect. The developed system focuses on transforming raw e-commerce data into meaningful insights through interactive dashboards and visual analytics. The collected e-commerce records contain customer, order, payment, review, and seller-related information. Data preprocessing and transformation were performed using Power Query, while DAX functions were used for KPI calculations. The system provides visual analysis of sales performance, customer behavior, product trends, regional distribution, payment methods, and shipping analysis. The developed dashboards enable businesses to monitor important metrics such as total revenue, total orders, total customers, average review score, products sold, and shipping cost. Interactive charts, slicers, and reports improve business intelligence and support data-driven decision-making. The implemented analytical system highlights how Power BI can support business intelligence operations in e-commerce environments. The system improves reporting efficiency, reduces manual effort, and provides valuable insights for business growth.