SQL Supply Chain Analytics
Use SQL to analyze inventory, suppliers, procurement, warehouses, customer orders and logistics performance.
3 course parts · 3 capstone projects · realistic supply chain database · AI Tutor · Certificate issued by CiAI.
Self-paced online · Designed for learners who completed SQL Basics and SQL Beginner, or have equivalent foundational SQL skills.
Analyze Inventory & Reorder Risk
Track stock on hand, available inventory, reorder levels and stock movements across warehouses.
Measure Supplier & Procurement Performance
Analyze supplier lead times, purchase orders, late deliveries and purchasing activity.
Improve Fulfillment & Logistics
Evaluate backorders, order fulfillment, shipments, carriers, freight and delivery performance.
3 Applied Capstone Projects
Complete one supply chain analytics capstone after each course part.
Turn Supply Chain Data into Operational Insight with SQL
Supply chain data spans products, suppliers, procurement, inventory, warehouses, customer orders, shipments, returns and demand. This course teaches learners how to connect those records with SQL so they can monitor stock, evaluate supplier performance, analyze fulfillment and support better operational decisions.
Why take SQL Supply Chain after SQL Basics and SQL Beginner?
SQL Basics and SQL Beginner teach the core language. SQL Supply Chain applies those skills to real operational questions: Which products are below reorder level? Which suppliers deliver late? Where is inventory stored? Which orders are backordered? Which warehouses process the most activity? Which carriers are delivering on time?
What you will learn
- Understand product-, supplier-, inventory- and order-level supply chain data
- Work with procurement, warehouse, logistics and order-management tables
- Retrieve product, supplier, inventory and order data with SELECT
- Filter low-stock items, open purchase orders and delayed shipments
- Join products, suppliers, warehouses, purchase orders and shipments
- Analyze stock availability, purchasing activity and order fulfillment
- Aggregate supply chain metrics with GROUP BY and HAVING
- Identify low-stock products, delayed deliveries and backorders
- Measure supplier performance and lead times
- Monitor inventory, stock movements and reorder levels
- Evaluate warehouse activity and product flow
- Analyze procurement, logistics, delivery and demand trends
Who this course is for
- Supply chain and operations professionals
- Procurement and purchasing professionals
- Inventory planners and warehouse teams
- Logistics and transportation professionals
- Operations and business analysts
- Non-technical professionals moving into supply chain analytics
SQL Supply Chain Analytics Curriculum: 3 Applied Parts
The course progresses from understanding how supply chain data is structured, to querying connected operational tables, and finally to advanced supply chain analytics and reporting.
Understand the systems, tables, fields and relationships that represent the movement of goods from suppliers to customers.
- Understanding supply chain analytics tables
- Product-level vs. supplier-level vs. inventory-level vs. order-level data
- How procurement, warehouse, logistics and order systems store data
- Key fields: product_id, supplier_id, warehouse_id, quantity_on_hand, reorder_level, lead_time, shipment_status
- The flow of supply chain data across purchasing, inventory, warehousing and shipping
- How products, suppliers, warehouses, purchase orders, shipments and sales orders connect
- Capstone 1: Supply Chain Data & Inventory Foundations Report
Apply SQL directly to supply chain operations by retrieving, filtering, joining and aggregating connected operational data.
- Retrieving product, supplier, inventory and order data with SELECT
- Filtering supply chain records with WHERE
- Joining products, suppliers, warehouses, purchase orders and shipments
- Analyzing stock availability, purchase activity and order fulfillment
- Aggregating supply chain metrics with GROUP BY and HAVING
- Identifying low-stock items, delayed deliveries, backorders and high-volume products
- Capstone 2: Procurement, Inventory & Fulfillment Analysis
Move from operational queries into performance, trend and management-level supply chain reporting.
- Supplier performance analysis and lead-time reporting
- Inventory analysis, stock movement and reorder monitoring
- Warehouse performance and product-flow analysis
- Purchase order and procurement trend analysis
- Shipment, delivery and logistics performance analysis
- Demand, fulfillment and backorder analysis
- Capstone 3: Supply Chain Performance Dashboard
Follow the Supply Chain Analytics Workflow End to End
Example: identify products below their reorder level
Supply chain teams need to know when available inventory is approaching a replenishment threshold.
The course expands from this pattern into supplier performance, warehouse activity, procurement trends, shipment performance and demand analysis.
3 Hands-On SQL Supply Chain Capstone Projects
The course includes exactly 3 capstone projects — one after each course part — so learners apply SQL to inventory, procurement, fulfillment, logistics and performance reporting.
Supply Chain Data & Inventory Foundations Report
Build a foundational report that maps products, suppliers, warehouses and inventory and summarizes the core structure of the supply chain network.
Skills: supply chain tables, keys, COUNT, GROUP BY, inventory structure.
Procurement, Inventory & Fulfillment Analysis
Join operational tables to identify low-stock items, open or late purchase orders, backorders, shipment issues and fulfillment patterns.
Skills: SELECT, WHERE, JOIN, GROUP BY, HAVING, operational exceptions.
Supply Chain Performance Dashboard
Create a decision-ready SQL report covering supplier performance, lead times, inventory, warehouse activity, procurement trends, logistics and demand.
Skills: supplier KPIs, inventory metrics, procurement, logistics, demand reporting.
Recommended SQL Learning Path After This Course
Assuming you completed SQL Basics and SQL Beginner, continue building deeper SQL capability after SQL Supply Chain with the following courses.
SQL Intermediate
Strengthen query logic with subqueries, CTEs, advanced filtering and data cleaning.
Explore SQL Intermediate →SQL Advance
Move into advanced set logic, window functions, performance and BI-ready SQL.
Explore SQL Advance →SQL AI-Assisted
Learn to generate, inspect, debug and verify SQL with AI while keeping human judgment in control.
Explore SQL AI-Assisted →SQL Data Analytics
Broaden into applied analytical SQL for BI, data engineering and machine-learning preparation.
Explore SQL Data Analytics →Course Details
Frequently Asked Questions
This course is designed for supply chain, procurement, inventory, warehouse, logistics and operations professionals, plus analysts who want practical supply-chain SQL experience.
The course includes exactly 3 capstone projects: 1) Supply Chain Data & Inventory Foundations Report, 2) Procurement, Inventory & Fulfillment Analysis, and 3) Supply Chain Performance Dashboard.
The certificate of completion is issued by the Canadian Institute of Artificial Intelligence (CiAI).
Part 1 covers supply chain analytics tables, data levels, operational systems, key fields, supply-chain data flow and how core tables connect.
Part 2 applies SELECT, WHERE, JOIN, GROUP BY and HAVING to products, suppliers, inventory, purchase orders, sales orders and shipments.
Part 3 covers supplier performance, lead times, inventory and reorder monitoring, warehouse performance, procurement trends, logistics, demand, fulfillment and backorders.
Yes. Learners analyze quantity on hand, available stock, reorder levels and stock movements to identify replenishment risk.
Yes. Learners analyze supplier usage, lead times, late purchase orders, purchase-order status and procurement trends.
Yes. Learners analyze shipments, carriers, delivery status, freight cost and late delivery performance.
Yes. The advanced section includes demand, fulfillment and backorder analysis using sales orders, sales order items and demand forecasts.
Assuming you completed SQL Basics and SQL Beginner, recommended next courses are SQL Intermediate, SQL Advance, SQL AI-Assisted and SQL Data Analytics.
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Meet the Creator of the Course
Learn from an educator and machine learning engineer working across analytics, AI, data science and applied business problems.
Dr. Mark Lokanan
Professor · Senior Machine Learning Engineer · Data Scientist · AI Specialist
Dr. Mark Lokanan is a professor at Royal Roads University and a Senior Machine Learning Engineer at Vedia. His work spans data science, machine learning, artificial intelligence, analytics, financial crime, and applied research. Drawing on both academic and industry experience, he designed SQL Supply Chain Analytics to help learners apply SQL to inventory, procurement, warehouse, fulfillment, logistics, supplier and demand decision-making.
