Supply Chain Analysis WebApp

Prodect Overview

This project is a comprehensive Supply Chain Analysis Dashboard built using Streamlit. The project provides detailed insights into various key areas such as Customers, Orders, Products, Markets, and General Metrics. The analysis includes visualizations, tables, and interactive filters for enhanced data exploration.

Demo

You can visit the live website over here: supplyinsights.com.

Video Demo

Supply Chain Analysis using Streamlit

The dataset used for this project can be found over here.

Table of Contents

• Visualizations
• Key Features
• Technology Stack
• Installation
• Usage
• Developers

Visualizations

Key Features

• General Dashboard: Provides a business overview with key metrics such as the number of customers, total orders, sales, profit, and more.
• Customer Section: Analyzes customers' geographic distribution, customer segments, and orders and sales by different customers.
• Market Section: Offers insights into the markets where products are sold, including performance comparisons between different regions.
• Order Section: Includes details about orders, order statuses, and trends w.r.t durations.
• Product Section: Focuses on product performance, including analysis of top-selling products and product distribution.

Technology Stack

• Streamlit: For building the dashboard and visualizations.
• Python: For data analysis and backend operations.
• Numpy and Pandas: For data manipulation and analysis.
• Plotly: For creating interactive and static visualizations.

Installation

1. Clone the repository:

   git clone https://github.com/friendsusername/supply-chain-analysis.git
   cd supply-chain-analysis

2. Install the required packages:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run app.py

4. Open the Streamlit URL in your browser to view the dashboard.

Usage

Once the app is running, navigate through the sidebar to explore the different sections:

• Summary: View an overall summary of the key supply chain metrics.
• Customer: Filter and analyze customer data.
• Market: Explore market trends and performance.
• Order: Review orders and their status.
• Product: Analyze product distribution and performance.

Developers

This project was developed by the following team members:

• Muhammad Abdullah Ghazi
• Muhammad Zubair

Both of us actively contributed to every aspect of the project, from data analysis to design and deployment, ensuring a seamless and comprehensive solution.

Feel free to reach out to us for any queries or suggestions!