E-Commerce Sales Analytics Dashboard Using Streamlit

This project presents an interactive E-Commerce Sales Analytics Dashboard developed using Python and Streamlit. The system integrates business intelligence techniques, KPI monitoring, sales trend analysis, regional contribution analysis, and product performance visualization through interactive dashboards. The project demonstrates how data visualization and analytics can improve business decision-making by transforming raw sales data into meaningful insights. Key Features:• Real-time KPI monitoring• Sales trend visualization• Product performance analysis• Regional contribution tracking• Interactive business intelligence dashboard Technologies Used:Python, Streamlit, Plotly, Pandas, NumPy Live Dashboard:https://ecommerce-das.streamlit.app/ GitHub Repository:https://github.com/vpatil-analytics/nassau-dashboard