What is generative AI in supply chain and operations?

It's AI that can write, summarize, and organize content such as emails, contracts, and reports. In supply chain work, it helps with tasks like reading shipping documents and drafting messages to suppliers.

Do I need a technical background to take this course?

No. The course starts from the basics and uses plain examples from supply chain work. No coding is needed.

How is generative AI different from traditional analytics?

Traditional analytics works mainly with numbers in tables. Generative AI can also work with text, such as emails and documents, and explain its findings in plain language.

What are the limits of large language models?

They can sound sure of themselves and still be wrong. The course shows where they slip and why you should always review important outputs.

What is the four-part prompt pattern?

It's a simple way to structure your request so the AI gives a clearer, more useful answer. You'll learn it in Lesson 4 and practice it in the demos.

Why does structured output matter?

When AI gives answers in a set format, like a table, they're easier to check, compare, and use in your next step. The course shows you how to ask for it.

What does grounding AI responses mean?

It means giving the AI your own data or documents to base its answer on, so it relies less on guesswork. This leads to more reliable answers.

Which AI tools are used in the course?

You'll work with ChatGPT, Claude, and Gemini, and you'll build custom GPTs. You'll also see n8n used for an automated shipment workflow.

How does the course cover procurement?

You'll see how GenAI helps with contract review, RFP drafting, and supplier scorecards. You'll also learn how to keep supplier and company data safe when using AI tools.

Is it safe to put company data into AI tools?

It depends on the tool and your company's rules. The course covers how to protect sensitive data and what to check before you share anything.

What is n8n, and why is it in this course?

n8n is a tool that connects steps into an automated workflow. The course uses it to show how AI can watch inbound shipments and flag delays.

What demos are included in the course?

The demos cover tasks like analyzing Incoterms, extracting data from a bill of lading, drafting an RFP, building custom GPTs, and running shipments through an n8n workflow.

How long will the course take?

The course has seven lessons and about two hours and forty minutes of video. You can go at your own pace.

Yes. You can watch all the lessons and earn your certificate at no cost.

Will I get a certificate?

Yes. Once you finish, you'll get a certificate you can share on LinkedIn or add to your resume.

Free GenAI for Supply Chain Course with Certificate 2026

Beginner Level

Want to use AI tools to handle the paperwork, emails, and planning that fill a supply chain job? That's what this course is about. In this free course, you'll learn how generative AI works, where it helps in demand planning, procurement, and daily operations, and where it needs a human check. You'll also build custom GPTs and see an automated shipment workflow in n8n.

Skills you will learn

Generative AI Basics for Supply Chain
Traditional Analytics vs. Generative AI
Four-Part Prompt Pattern
Grounding AI Responses
Demand and Planning Insights
Contract Review
RFP Drafting
Building Custom GPTs
AI Workflows with n8n
AI Adoption Planning

Who should learn

Supply Chain Professionals
Operations Managers
Logistics Coordinators
Demand Planners
Business Analysts
Students
Beginners

What you will learn

Free GenAI for Supply Chain Course with Certificate 2026
- Lesson 01: Course Introduction
  03:28
  - 01 1.01 Introduction Generative AI for Supply Chain and Operations
    01:15
  - 02 1.02 Kickstarting Generative AI for Supply Chain and Operations
    02:13
- Lesson 02: Learning Objectives
  01:18
  - 03 2.01 Learning Objectives
    01:18
- Lesson 03: GenAI Foundations for Supply Chain
  36:08
  - 04 3.01 Introduction to Generative AI
    02:47
  - 05 3.02 Traditional Analytics vs Generative AI
    01:33
  - 06 3.03 Strengths and Limitations of Large Language Models
    03:02
  - 07 3.04 Using Large Language Models with Human Review
    02:21
  - 08 3.05 Demo Analysing DDP and DAP Incoterms for Customs Cost Management Using ChatGPT
    03:34
  - 09 3.06 Demo Extracting Supplier Commitments Dates and Action Items from Email Threads Using Claude
    07:07
  - 10 3.07 Demo Extracting Structured Data from a Scanned Bill of Lading Using Gemini
    05:56
  - 11 3.08 Demo Creating a Supplier Escalation Email to Communicate Late Delivery Risk Using ChatGPT
    05:00
  - 12 3.09 Demo Identifying Risks Using LLMs for Safety Stock Calculations Using ChatGPT
    04:48
- Lesson 04: Demand & Planning: Working with Unstructured Data
  32:13
  - 13 4.01 Unstructured Data in Demand and Planning
    01:19
  - 14 4.02 Turning Data into Actionable Insights
    01:02
  - 15 4.03 Four Part Prompt Pattern
    01:27
  - 16 4.04 Why Structured Output Matters
    00:52
  - 17 4.05 Grounding AI Responses
    01:56
  - 18 4.06 Demo Evaluating Prompt Quality for Demand Forecasting Using ChatGPT
    02:35
  - 19 4.07 Demo Applying a Structured Prompt to Extract Demand Insights Using Claude
    08:04
  - 20 4.08 Demo Combining Emails and Market Reports with ChatGPT
    05:24
  - 21 4.09 Demo Building the Supply Chain Signal Analyzer Custom GPT
    09:34
- Lesson 05: Procurement & Supplier Operations
  42:17
  - 22 5.01 Procurement as a Document Workflow
    01:00
  - 23 5.02 How GenAI Supports Procurement Workflows
    01:30
  - 24 5.03 Protecting Sensitive Data in AI Tools
    02:15
  - 25 5.04 Human Review in AI Assisted Procurement
    01:10
  - 26 5.05 Demo Analyzing a Supplier Contract and Creating a Redlining Checklist Using ChatGPT
    10:27
  - 27 5.06 Demo Drafting an RFP from a One Paragraph Brief Using ChatGPT
    08:47
  - 28 5.07 Demo Creating a Supplier Scorecard with Weighted Criteria Using Gemini
    08:09
  - 29 5.08 Demo Building the Procurement Co Pilot Custom GPT
    08:59
- Lesson 06: Operations: Agents, Automation & Adoption
  41:57
  - 30 6.01 Understanding Browser Based AI Limitations
    01:17
  - 31 6.02 How an AI Workflow Works
    01:46
  - 32 6.03 Exploring High Impact Automation Patterns
    01:31
  - 33 6.04 AI Adoption Planning Framework
    02:18
  - 34 6.05 Demo Touring the n8n Inbound Shipment Exception Monitor Part 1
    10:00
  - 35 6.06 Demo Touring the n8n Inbound Shipment Exception Monitor Part 2
    10:06
  - 36 6.07 Demo Running an On Time Shipment Through the n8n Workflow
    04:05
  - 37 6.08 Demo Running an Exception Alert Through the n8n Workflow
    03:35
  - 38 6.09 Demo Running a Delayed Shipment and Fixing Field Mappings in n8n
    07:19
- Lesson 07: Key Takeaways
  01:42
  - 39 7.01 Key Takeaways
    01:42

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

FAQs

What is generative AI in supply chain and operations?
It's AI that can write, summarize, and organize content such as emails, contracts, and reports. In supply chain work, it helps with tasks like reading shipping documents and drafting messages to suppliers.
Do I need a technical background to take this course?
No. The course starts from the basics and uses plain examples from supply chain work. No coding is needed.
How is generative AI different from traditional analytics?
Traditional analytics works mainly with numbers in tables. Generative AI can also work with text, such as emails and documents, and explain its findings in plain language.
What are the limits of large language models?
They can sound sure of themselves and still be wrong. The course shows where they slip and why you should always review important outputs.
What is the four-part prompt pattern?
It's a simple way to structure your request so the AI gives a clearer, more useful answer. You'll learn it in Lesson 4 and practice it in the demos.
Why does structured output matter?
When AI gives answers in a set format, like a table, they're easier to check, compare, and use in your next step. The course shows you how to ask for it.
What does grounding AI responses mean?
It means giving the AI your own data or documents to base its answer on, so it relies less on guesswork. This leads to more reliable answers.
Which AI tools are used in the course?
You'll work with ChatGPT, Claude, and Gemini, and you'll build custom GPTs. You'll also see n8n used for an automated shipment workflow.
How does the course cover procurement?
You'll see how GenAI helps with contract review, RFP drafting, and supplier scorecards. You'll also learn how to keep supplier and company data safe when using AI tools.
Is it safe to put company data into AI tools?
It depends on the tool and your company's rules. The course covers how to protect sensitive data and what to check before you share anything.
What is n8n, and why is it in this course?
n8n is a tool that connects steps into an automated workflow. The course uses it to show how AI can watch inbound shipments and flag delays.
What demos are included in the course?
The demos cover tasks like analyzing Incoterms, extracting data from a bill of lading, drafting an RFP, building custom GPTs, and running shipments through an n8n workflow.
How long will the course take?
The course has seven lessons and about two hours and forty minutes of video. You can go at your own pace.
Is this course free?
Yes. You can watch all the lessons and earn your certificate at no cost.
Will I get a certificate?
Yes. Once you finish, you'll get a certificate you can share on LinkedIn or add to your resume.