AI in Supply Chain

AI in Supply Chain

Instructor: AI CERTs Team

Access provided by Pak Portal 25

3,576 already enrolled

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Apply AI in Supply Chain Processes: Use AI tools to support demand planning, inventory management, and logistics operations.
Improve Demand Forecasting Accuracy: Use AI to analyze data and predict demand patterns more accurately.
Analyze Data for Operational Decisions: Analyze supply chain data to identify risks and guide smarter decision-making.
Optimize Logistics and Inventory Management: Apply AI-driven insights to streamline route planning, reduce delays, and manage inventory effectively.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 8 modules in this course

Learn how to apply AI in supply chain operations to improve forecasting accuracy, reduce delays, and make smarter inventory decisions. For example, AI can predict demand fluctuations and help businesses prevent stockouts or overstocking before disruptions occur.

This AI in Supply Chain course explains how artificial intelligence is used across demand forecasting, inventory management, logistics, and supplier coordination. Designed for beginners, it helps you build practical knowledge without requiring prior technical or coding experience. You’ll explore how AI supports supply chain functions such as demand planning, inventory management, logistics tracking, and risk management. The course focuses on real-world applications. It helps you streamline operations, accelerate decision-making, and strengthen overall supply chain performance. Through guided examples, you’ll learn how to identify opportunities for automation and interpret supply chain data using AI-driven insights. Practical scenarios such as demand forecasting, route planning, & supplier analysis make learning easier to apply in real business environments. Whether you are exploring AI in operations management or looking to understand how AI integrates into supply chain processes, this course offers a clear, structured starting point. By the end of the course, you’ll be able to use AI tools to increase forecasting accuracy, manage inventory more effectively, and make smarter supply chain decisions. Enroll in this AI in supply chain course to build practical skills, minimize operational delays, and confidently apply AI in supply chain processes.

This module introduces the core concepts, processes, and principles of supply chain management. Learners explore supply chain networks, operations, logistics, procurement, and inventory management. The module builds a strong foundation for understanding modern supply chain practices.

What's included

7 videos1 assignment1 plugin

7 videosTotal 35 minutes

Course Introduction4 minutes
1.1 SCOR Model and Core Processes6 minutes
1.2 SCOR Model: Mapping and Application in Supply Chains4 minutes
1.3 SCOR Model: Benefits, Challenges, and AI Transformation3 minutes
1.4 Supply Chain: Key Functions6 minutes
1.5 Global Supply Chain Challenges6 minutes
1.6 KPIs and Performance Measurement6 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

1 pluginTotal 1 minute

Activity: Hotspot1 minute

This module explains the role of Artificial Intelligence in improving supply chain operations. Learners explore AI techniques, analytical methods, and tools used for forecasting, optimization, and decision-making. The module helps learners understand how AI enhances supply chain efficiency and performance.

What's included

4 videos1 assignment1 plugin

This module introduces Large Language Models and Generative AI applications in supply chain management. Learners explore AI-driven solutions for planning, documentation, supplier communication, and operational insights. The module demonstrates how generative AI supports smarter and more responsive supply chain workflows.

What's included

5 videos1 assignment1 plugin

5 videosTotal 25 minutes

3.1 LLMs and GenAI Fundamentals in SCM5 minutes
3.2 AI Use Cases in Supply Chain5 minutes
3.3 Chat-Based AI Copilots for Planners and Knowledge Management5 minutes
3.4 Limitations and Best Practices for LLM/GenAI5 minutes
3.5 Enterprise AI Tools and Frameworks5 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

1 pluginTotal 1 minute

Activity: Accordion1 minute

This module covers ethical principles and responsible AI practices for supply chain applications. Learners explore topics such as transparency, data privacy, fairness, and AI governance. The module helps learners understand how to adopt AI responsibly within supply chain environments.

What's included

5 videos1 assignment1 plugin

5 videosTotal 23 minutes

4.1 Bias in Forecasting and Procurement, Transparency, and Explainability4 minutes
4.2 Privacy, Security, and Regulatory Compliance5 minutes
4.3 Job Displacement, Upskilling, and Human-AI Collaboration6 minutes
4.4 Sustainability, ESG, and AI for Ethical Sourcing and Carbon Tracking4 minutes
4.5 Governance Frameworks and Risk Management4 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

1 pluginTotal 1 minute

Activity: Sequence Arrangement1 minute

This module explores digital transformation and intelligent systems shaping modern supply chains. Learners understand technologies such as automation, analytics, IoT, and AI-driven orchestration platforms. The module explains how connected systems improve visibility, coordination, and operational agility.

What's included

4 videos1 assignment1 plugin

4 videosTotal 19 minutes

5.1 Digitization: ERP, SCM, Cloud, Blockchain, and APIs5 minutes
5.2 Orchestration: Control Towers, Real-Time Visibility, Data Pipelines, and Digital Twins5 minutes
5.3 Intelligent SCM: Predictive and Prescriptive Analytics, Autonomous Management, Robotics, and Edge AI4 minutes
5.4 Human-AI Collaboration4 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

1 pluginTotal 1 minute

Activity: Drag and Drop1 minute

This module examines real-world AI applications across different supply chain industries. Learners analyze case studies to understand AI implementation strategies, challenges, and business impact. The module highlights how AI creates measurable value through improved supply chain performance.

What's included

4 videos1 assignment1 plugin

This module focuses on strategic supply chain planning, logistics policies, and sustainable practices. Learners explore methods for improving resilience, reducing environmental impact, and supporting long-term business goals. The module explains how organizations build sustainable and efficient supply chain strategies.

What's included

4 videos1 assignment1 plugin

4 videosTotal 22 minutes

7.1 Trade Policies, Tariffs, and Geopolitical Risks5 minutes
7.2 Strategic Network Design: Optimization, Resilience, Nearshoring, and Friendshoring6 minutes
7.3 Sustainable SCM: Circular Economy, Green Logistics, and AI-Driven ESG Reporting5 minutes
7.4 AI-Enabled Supply Chain Transformation and Leadership5 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

1 pluginTotal 1 minute

Activity: Timeline1 minute

This module introduces Agentic AI and its role in creating autonomous supply chain systems. Learners explore AI agents, intelligent decision-making, automation, and future supply chain trends. The module provides insights into how autonomous technologies may transform supply chain operations.