A visually interactive AI-powered sales forecasting dashboard using Streamlit, Plotly, and Python. Visualize KPIs, trends, and export filtered data with ease.

This repository contains an interactive Superstore Sales Dashboard built with Streamlit, Pandas, and Plotly. It provides a Power BI-style interface featuring key performance indicators (KPIs), sales trend analysis, and category-wise visualizations, along with filters for date range, region, and product category. The project serves as a practical da

End-to-end retail sales analysis with SQL, Python & live Streamlit dashboard | Window functions, Plotly, deployed on Streamlit Cloud

This repository contains an interactive data visualization dashboard built using Streamlit, designed to explore and analyze the "Superstore" dataset. The dashboard allows users to upload their own dataset or use a default one to explore various sales metrics and insights.

Interactive sales & revenue dashboard built with Streamlit & Plotly on the Superstore dataset.

A real-time CDC (Change Data Capture) simulation dashboard using SQLite to mimic ETL pipelines and visualize live sales data. Built with Streamlit and Plotly, includes multi-user login support.

Sales analytics dashboard using Streamlit, Python, and Plotly.

Amazon Sales Data Analysis Dashboard using Plotly and Streamlit.

Superstore Sales Analytics Dashboard built with Streamlit and Plotly.

Sales Analytics Dashboard built using python, Streamlit, Pandas and Plotly

modern, interactive sales analytics dashboard built with Python, Streamlit, and Plotly.

a sales analysis dashboard built with streamlit and plotly for data science project

Interactive retail sales and profit analytics dashboard built with Python, Streamlit, and Plotly.

Interactive Retail Sales Analytics & Forecasting Dashboard built with Streamlit, Pandas, Plotly and Scikit-learn.

Premium E-commerce Sales Analytics Dashboard using Streamlit, Pandas & Plotly with real-time filtering and insights

Interactive Sales Data Analysis Dashboard built using Python, Streamlit, and Plotly with KPI metrics and UI.

Interactive dashboard (e.g., Plotly/Streamlit) visualizing sales KPIs, revenue trends, and regional performance. Implements time-series models (ARIMA/Prophet) for future sales prediction.

A complete, interactive regional sales dashboard built using Streamlit, Pandas, and Plotly. Allows filtering by date range, region, and product category.

Sales Insight Dashboard (Data Analytics Project) Built an interactive sales analytics dashboard using Python, Pandas, and Streamlit. Visualized key metrics by region, product category, and month using Plotly charts for actionable insights.

E-commerce Sales Analysis – A complete project analyzing e-commerce sales trends using Python, Pandas, Plotly & Streamlit. Includes an interactive dashboard, Jupyter Notebook analysis, and business insights reports.

An interactive Streamlit dashboard analyzing Adidas US sales data (2020–2021). The project explores sales trends, profitability, regional performance, and product insights using dynamic filters, time-series analysis, and visualizations built with Python, Pandas, Plotly and, Streamlit.

End-to-end data visualization dashboard using Streamlit. Includes data cleaning, dynamic filters, KPIs, sales trends, and interactive charts built with Pandas, Matplotlib, and Plotly.

Enterprise-grade sales analytics and forecasting platform with interactive dashboards, machine learning insights, and an Excel-like data entry module built using Python, Streamlit, and Plotly.

Interactive dashboard analyzing supermarket sales using Python, Pandas, Plotly, and Streamlit. Explore sales by city, product line, customer type, and hour. Includes KPIs, interactive filters, and visualizations to drive data-informed business decisions.

This project is an interactive and responsive Sales Analytics Dashboard built with Streamlit, Pandas, and Plotly. It enables users to upload their own Sales CSV dataset and instantly explore insights with dynamic visualizations and KPIs.

This is a streamlit dashboard for supermarket sales analysis, client segmentation via KMeans and revenue forecasting with a linear regression algorithm. All dataviz were made with Plotly and Pandas.

Executive Business Intelligence dashboard that integrates Python, PostgreSQL, Pandas, Streamlit, and Plotly to analyze sales performance, operational expenses, and financial KPIs through interactive data visualizations for strategic decision-making.

An interactive Exploratory Data Analysis (EDA) dashboard built with Streamlit and Plotly to analyze SuperStore sales data. Easily filter data by region, state, and city, visualize trends, and export insights.

Adidas Sales Dashboard built using Streamlit, Plotly, and Pandas. It provides interactive visual insights like Total Sales by Retailer, Monthly Trends, and State-wise comparisons. Includes download options for each dataset, dark theme charts, and responsive layout design.

An interactive and insightful Sales Dashboard built using Streamlit and Plotly, designed to analyze the Global Superstore dataset. This dashboard delivers dynamic KPIs, trend analyses, customer segmentation, city-level performance, and product insights—ideal for business analysts, data professionals, and dashboards portfolios.