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AI for Supply Chain Management: Optimizing Logistics with Artificial Intelligence is a 10-week program designed for M.Tech and M.Sc students, as well as professionals in BFSI, IT services, and consulting. The course delves into AI applications such as forecasting, inventory management, and transportation logistics, and teaches participants to develop and implement AI models to optimize supply chains.
The course aims to equip participants with the skills to integrate AI into supply chain management, enhancing efficiency, reducing costs, and improving decision-making processes across logistics operations.
Section 1.1: Overview of Supply Chain and AI
Section 1.2: Tools and Technologies in AI for Supply Chain
Section 2.1: Understanding Supply Chain Data
Section 2.2: Data Preparation and Integration
Section 2.3: Real-Time Data Processing with AI
Section 3.1: Demand Forecasting with AI
Section 3.2: Inventory Management
Section 3.3: Route Optimization and Logistics
Section 3.4: Supplier Relationship Management
Section 4.1: Real-Time Monitoring Systems
Section 4.2: Predictive Maintenance with AI
Section 5.1: Data Privacy in Supply Chains
Section 5.2: Cybersecurity in AI-Powered Supply Chains
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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