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📌 Customer Order & Tracking Dashboard - Power BI

📝 Overview

This Power BI project provides insights into customer orders and product tracking using interactive dashboards. It visualizes order status, sales trends, shipping details, and warehouse assignments.


📊 Dashboards

1️⃣ Customer's Order Dashboard

This dashboard provides a high-level business overview of customer orders, sales performance, and profitability.

🔹 Key Features:

  • 📈 Total Orders & Customers
  • 📊 Sales by Year & Category
  • 🌎 Order Count by State & City
  • 💰 Profit Trends Over Time
  • 🔥 Top Selling Categories & Products
  • 🚚 Shipping Cost & Order Priority Analysis

📊 Visuals Used:

  • Pie Chart: Order Delivery Status
  • Line Chart: Profit Trends Over Time
  • Bar Chart: Order Count by State
  • Treemap: Sales by Sub-Category
  • Map Visualization: Order Count by Customer Locations

2️⃣ Order Tracking Dashboard

This dashboard focuses on warehouse tracking, showing where orders are stored and shipped.

🔹 Key Features:

  • 📦 Order Status & Total Sales Tracking
  • 🏭 Warehouse Assignment & Product Count per Warehouse
  • 📊 Total Products Processed per Day
  • 🚛 Shipping Cost Breakdown by Ship Mode
  • 🏬 Warehouse Prioritization Based on Order Volume

📌 Screenshots

Customer Order Dashboard:

Customer Order Dashboard

Order Tracking Dashboard:

Order Tracking Dashboard

📊 Visuals Used:

  • Map Visualization: Order Distribution Across Warehouses
  • Stacked Bar Chart: Product Count per Warehouse
  • Donut Chart: Order Priority Distribution
  • Table View: Products, Sales, and Shipping Costs

📂 Data Sources

  • Order Dataset (Customer orders, delivery status, order priority)
  • Warehouse Locations (Latitude & Longitude, Warehouse Assignments)

🚀 Technologies Used

  • Power BI for data visualization
  • DAX (Data Analysis Expressions) for custom measures
  • Power Query for data transformation

🔮 Future Enhancements

  • Add real-time tracking updates.
  • Integrate external API data sources (live shipment tracking).
  • Implement predictive analytics for demand forecasting.