In this course, you’ll explore how Generative AI is reshaping supply chain management, from optimizing inventory and forecasting demand to enhancing logistics. With practical insights and real-world case studies, this course provides a comprehensive overview of AI applications in the supply chain, helping you stay ahead in an industry rapidly adopting advanced technologies. By the end, you’ll understand how Generative AI can solve key supply chain challenges, preparing you to apply these innovations in your own work.

GenAI for Supply Chain Optimization
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GenAI for Supply Chain Optimization


Instructors: Mustafa Bayulgen
2,405 already enrolled
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What you'll learn
Identify Generative AI and its key applications within supply chain management, its impact on operational efficiency and decision-making processes.
Evaluate common Generative AI techniques and methodologies used in supply chain optimization.
Describe how Generative AI integrates with existing supply chain technologies.
Assess current advancements and innovations in Generative AI technology and their implications for the future of supply chain management.
Skills you'll gain
- AI Enablement
- Supply Chain Systems
- Supply Chain Management
- Supply Chain
- Demand Planning
- Supply Chain Planning
- AI Integrations
- Customer Demand Planning
- Emerging Technologies
- Logistics Management
- Operational Efficiency
- Data Ethics
- Responsible AI
- Automation
- Transportation, Supply Chain, and Logistics
- Inventory and Warehousing
- Predictive Analytics
- Inventory Control
Tools you'll learn
Details to know

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There are 2 modules in this course
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.




