What question did this study set out to answer?

The aim is to develop an interactive E-Commerce sales dashboard to analyze and visualize sales data effectively.

May 16, 2026Open Access

E-Commerce Sales Analytics Dashboard Using Streamlit

Key Points

The aim is to develop an interactive E-Commerce sales dashboard to analyze and visualize sales data effectively.
Developed using Python and Streamlit
Integrated various business intelligence techniques
Utilized libraries like Plotly, Pandas, and NumPy
Provides real-time KPI monitoring
Visualizes sales trends effectively
Tracks regional contributions and product performance

Abstract

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

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