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

• Overview
• Features
• Data Sources
• Installation
• Usage
• Dashboard Details
• Contributing
• License
• Acknowledgements

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:

   • Download and install Power BI Desktop from Microsoft Power BI.

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.