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E-Commerce Sales Analytics Dashboard Using Streamlit

Year: 2026

Type: article

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

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20179157

Author: Patil, Jayashri

Language: English

Topic: Big Data and Business Intelligence

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7161173374

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