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.

AI in Supply Chain

AI in Supply Chain

Instructor: AI CERTs Team
Access provided by University of Warwick
1,631 already enrolled
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
4 weeks to complete
at 10 hours a week
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
- Logistics
- Supply Chain Systems
- Transportation, Supply Chain, and Logistics
- Generative AI Agents
- Demand Planning
- AI Enablement
- Supply Chain Management
- Warehousing
- Supply Chain
- Supply Chain Planning
- Artificial Intelligence
- Data-Driven Decision-Making
- Logistics Management
- Artificial Intelligence and Machine Learning (AI/ML)
- Supply Management
- Forecasting
- Inventory and Warehousing
- Inventory Control
Tools you'll learn
Details to know

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Assessments
8 assignments
Taught in English
Recently updated!
February 2026
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There are 8 modules in this course
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