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Supply Chain Inventory Dashboard using Power BI

Overview

This repository contains a Power BI project designed to create a comprehensive dashboard for managing and analyzing supply chain inventory data. The dashboard provides insights into inventory levels, demand forecasting, supplier performance, and more. It is a powerful tool for optimizing supply chain operations and ensuring efficient inventory management.

Table of Contents

Features

  • Real-time inventory monitoring across multiple locations
  • Demand forecasting based on historical data
  • Supplier performance analysis with key metrics
  • Stock aging analysis to identify slow-moving inventory
  • Interactive visualizations with drill-down capabilities
  • Key Performance Indicators (KPIs) for quick assessment

Data Sources

The dashboard is built using the following data sources:

  • Inventory Data: Information on stock levels, product details, and warehouse locations.
  • Sales Data: Historical sales records used for demand forecasting.
  • Supplier Data: Performance metrics for suppliers, including delivery times and order accuracy.
  • Warehouse Management System (WMS): Data on stock movements and storage locations.
  • Customer Data: Details of customer.

Installation

To set up this project locally, follow these steps:

  1. Clone the repository:

    git clone https://github.com/your-username/supply-chain-inventory-dashboard.git
cd supply-chain-inventory-dashboard

  2. Install Power BI Desktop:

  3. Load the data:

    • Ensure you have the required data files in the data directory. You may need to update the data source paths in the Power BI file.

Usage

To use the dashboard:

  1. Open the Power BI file:

    • Open the supply-chain-inventory-dashboard.pbix file in Power BI Desktop.

  2. Refresh the data:

    • Click on Refresh to load the latest data into the dashboard.

  3. Interact with the dashboard:

    • Use the filters and visualizations to explore the supply chain data.

Dashboard Details

The dashboard includes the following pages:

  1. Inventory Overview:
    • Summary of key metrics such as total inventory value, stock turnover rate, and current stock levels.
  2. Demand Forecasting:
    • Predict future inventory needs based on historical sales data.
  3. Supplier Performance:
    • Evaluate supplier performance through metrics like on-time delivery, order accuracy, and lead times.
  4. Stock Aging:
    • Analyze the age of inventory to identify slow-moving or obsolete stock.
  5. Warehouse Analysis:
    • Visualize stock distribution across different warehouses and storage locations.
  6. KPI Dashboard:
    • A dedicated page for tracking key performance indicators (KPIs) relevant to inventory management.

Contributing

We welcome contributions to enhance this project. To contribute:

  1. Fork the repository.
  2. Create a new branch: 
    git checkout -b feature/your-feature-name
  3. Make your changes.
  4. Commit your changes: 
    git commit -m 'Add some feature'
  5. Push to the branch: 
    git push origin feature/your-feature-name
  6. Create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

  • Power BI for providing a powerful data visualization tool.
  • Contributors and community members for their valuable inputs and feedback.