Build This Project · Portfolio Guide

Supply Chain Analytics Dashboard — Complete Project Guide

SECTION 01Project overview

Here's what you'll build in this project:

• Business problem: A retail/ manufacturing company wants to optimize its supply chain — reduce delivery times, manage inventory, and cut costs.
• Your solution: A supply chain dashboard that tracks key metrics — on-time delivery, lead time, inventory turnover, and order fulfillment.
• Tools: Tableau, Power BI, Python (Streamlit/Dash), or Excel.
• Outcome: A portfolio-ready dashboard that demonstrates supply chain analytics skills.

SECTION 02Data source

Here are the best data sources for this project:

SECTION 03Key metrics and KPIs

Here are the key metrics your supply chain dashboard should track:

SECTION 04Inventory analysis

Here's how to analyze inventory performance:

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df = pd.read_csv('supply_chain_data.csv')

# Inventory turnover
df['turnover'] = df['units_sold'] / df['average_inventory']
avg_turnover = df.groupby('product_category')['turnover'].mean().sort_values(ascending=False)

print("Average Inventory Turnover by Category:")
print(avg_turnover)

# Stockout rate by category
stockout_rate = df.groupby('product_category')['stockout'].mean().sort_values(ascending=False)
print("\nStockout Rate by Category:")
print(stockout_rate)

# Visualize
fig, axes = plt.subplots(1, 2, figsize=(14, 5))
avg_turnover.plot(kind='bar', ax=axes[0])
axes[0].set_title('Inventory Turnover by Category')
stockout_rate.plot(kind='bar', ax=axes[1])
axes[1].set_title('Stockout Rate by Category')
plt.tight_layout()
plt.show()

-- SQL query for inventory analysis
SELECT 
    product_category,
    AVG(units_sold / average_inventory) AS avg_turnover,
    AVG(stockout) AS stockout_rate
FROM supply_chain_data
GROUP BY product_category
ORDER BY avg_turnover DESC;

SECTION 05Dashboard design

Here's how to design your supply chain dashboard:

• Top section: KPI cards — On-Time Delivery, Avg Lead Time, Inventory Turnover, Fulfillment Rate.
• Middle section: Delivery performance trends, lead time trends, shipping cost trends.
• Bottom section: Inventory turnover by category, stockout analysis, supplier performance.
• Filters: Date range, product category, supplier, region.

SECTION 06Portfolio presentation

Here's how to present this project to employers:

• GitHub: Upload your code, data preparation scripts, and dashboard file.
• README: Write a clear README with project overview, metrics, and key insights.
• Executive summary: Include a 1-page summary for business stakeholders.
• Screenshots: Add screenshots of your dashboard and key insights.
• LinkedIn post: Share your project with a brief explanation of the business problem you solved.

SECTION 07Interview Q&A — supply chain dashboard

SECTION 08Test yourself — supply chain quiz

SECTION 09Frequently asked questions

SECTION 10Related reads