AI+ Supply Chain™
AI+ Supply Chain™
Transforming Supply Chain Management
- Comprehensive Learning: Covers logistics, operations, and supply chain digitization
- Advanced Supply Strategies: Develop innovative supply strategies and workflows
- Sector-Specific Solutions: Tailored sessions for real-world, sector-specific challenges
- Lead AI Supply Efficiency: Prepares learners to lead in AI-led supply chain efficiency
Prerequisites
- Foundational knowledge of supply chain concepts, processes, and operations.
- A general understanding of Artificial Intelligence, including machine learning and data analytics, is recommended.
- Prior experience with business management or technical tools, such as ERP systems or data analysis software, will be beneficial.
- Strong analytical and problem-solving skills are essential to understand and apply AI-driven techniques in supply chain scenarios.
- 1.1 Overview of Artificial Intelligence in Supply Chain
Management (SCM) - 1.2 Transforming Supply Chains with AI
- 1.3 Ethical Implications of AI in Supply Chains
- 2.1 Machine Learning in Supply Chain
- 2.2 Expert Systems in SCM
- 2.3 Integrating Images and Text in Supply Chain AI
- 3.1 The Origin of Generative AI
- 3.2 Generative AI in Revenue Management and Demand
Forecasting - 3.3 Transformer and LSTM Architectures in Generative AI
- 4.1 Introduction to Supply Chain Digitization
- 4.2 Supply Chain Integration and Push-Pull Strategies
- 4.3 Supply Chain Resiliency, Planning and Sustainability
- 5.1 Introduction to Smart SCM
- 5.2 Employing Smart SCM and Prompt Engineering
- 5.3 Future Trends of Smart SCM
- 6.1 Introduction to Industrial SCM
- 6.2 Business Value from AI and Gen AI in Supply Chain
- 6.3 Risks and Challenges of Adopting AI and Gen AI in
Industrial SCM
- 7.1 Role of Supply Chain Management in the Organization
- 7.2 Warehousing Strategy for Efficient Supply Chain
Management - 7.3 Technical Coverage of SCM with Multi-Dimensional
Aspects
- 8.1 Supplier Selection and Relationship Management with
AI - 8.2 Mastering Advancements in SCM with Modern Artefacts
- 1. What Are AI Agents
- 2. What Are AI Agents in Logistics and Supply Chain
- 3. Applications & Trends of AI Agents in Supply Chain
- 4. How Does an AI Agent Work
- 5. Core Characteristics of AI Agents
- 6. Key Advantages of AI Agents in Logistics and Supply Chain
- 7. Types of AI Agents
LeewayHertz (ZBrain)
C3.ai
Coupa (LLamasoft)
Zebra (Workcloud Demand Intelligence Suite)
Passing Score : 70%
Number of Multiple Choice Question : 50 MCQs, 90 Minutes
Number of exams required for certification : 1
Exam Blueprint
- Introduction to Artificial Intelligence in Supply Chain – 10%
- Advanced AI Techniques for Supply Chain – 15%
- Generative AI in Supply Chain Management – 10%
- Supply Chain Digitization – 15%
- Intelligent Driven Supply Chain Management – 15%
- Industry Aspects of Advanced SCM – 15%
- Policies of Logistics Management in Supply Chain with AI – 10%
- Supply Chain Masterclass with AI Assistance – 10%
Supply Chain Digitization
Learners will gain skills in applying AI to digitize and automate supply chain operations, enhancing overall efficiency and enabling data-driven decision-making.
AI for Logistics Management
Expertise in integrating AI to enhance logistics planning, warehousing, and transportation, leading to streamlined operations and cost reduction.
Smart Supply Chain Management (SCM)
Learners will acquire knowledge of intelligent SCM systems powered by AI, enabling real-time monitoring, automation, and optimization of supply chain functions.
AI-Driven Supply Chain Optimization
Ability to implement AI techniques such as machine learning and predictive analytics to optimize supply chain processes, including demand forecasting, inventory management, and logistics.
Supply Chain Automation Specialist
Focuses on automating supply chain functions such as procurement, logistics, and inventory management through AI-powered tools.
AI Supply Chain Strategist
Develops and implements AI-driven strategies to improve supply chain efficiency, cost-effectiveness, and resilience.
Supply Chain Data Scientist
Utilizes AI and data analytics to gather insights from supply chain data, predicting trends, optimizing performance, and solving operational challenges.
AI Procurement Specialist
Use AI tools to improve procurement strategies by optimizing supplier evaluation and reducing costs effectively.
FAQ
What are the key AI technologies taught?
You’ll learn about predictive analytics, machine learning for demand planning, and AI-driven logistics management.
What real-world applications will I explore?
You’ll work on projects like optimizing warehouse operations and forecasting supply chain disruptions using AI.
What industries benefit most from this course?
Retail, manufacturing, and logistics industries can significantly benefit from AI-driven supply chain improvements.
What tools will I use in the course?
You’ll use tools like AI-based optimization software and predictive analytics platforms.
What does the AI+ Supply Chain™ course cover?
This course teaches how AI can be used to optimize supply chain operations, including demand forecasting and inventory management.
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