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
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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
- Emerging Technologies
- Data Ethics
- Customer Demand Planning
- Inventory and Warehousing
- Supply Chain Management
- Operational Efficiency
- Logistics Management
- AI Integrations
- Responsible AI
- Supply Chain Systems
- Inventory Control
- Predictive Analytics
- Demand Planning
- Supply Chain
- Transportation, Supply Chain, and Logistics
- AI Enablement
- Supply Chain Planning
- Automation
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.




