AI+ Supply Chain™
Certificate Code: AP-710
Passing Score: 70% (35/50)
Exam Info: 50 MCQs, 90 Minutes
Tagline: Transforming Supply Chain Management
Course Overview:
- 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.
Tools Used:
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LeewayHertz (ZBrain) -
C3.ai -
Coupa (LLamasoft) -
Zebra (Workcloud Demand Intelligence Suite)
Modules:
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Module 1: Introduction to Artificial Intelligence in Supply Chain
- 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
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Module 2: Advanced AI Techniques for Supply Chain
- 2.1 Machine Learning in Supply Chain
- 2.2 Expert Systems in SCM
- 2.3 Integrating Images and Text in Supply Chain AI
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Module 3: Generative AI in Supply Chain Management
- 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
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Module 4: Supply Chain Digitization
- 4.1 Introduction to Supply Chain Digitization
- 4.2 Supply Chain Integration and Push-Pull Strategies
- 4.3 Supply Chain Resiliency, Planning and Sustainability
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Module 5: Intelligent Driven Supply Chain Management
- 5.1 Introduction to Smart SCM
- 5.2 Employing Smart SCM and Prompt Engineering
- 5.3 Future Trends of Smart SCM
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Module 6: Industry Aspects of Advanced 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
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Module 7: Policies of Logistics Management in Supply Chain with AI
- 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
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Module 8: Supply Chain Masterclass with AI Assistance
- 8.1 Supplier Selection and Relationship Management with AI
- 8.2 Mastering Advancements in SCM with Modern Artefacts
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Optional Module: AI Agents for Supply Chain
- What Are AI Agents
- What Are AI Agents in Logistics and Supply Chain
- Applications & Trends of AI Agents in Supply Chain
- How Does an AI Agent Work
- Core Characteristics of AI Agents
- Key Advantages of AI Agents in Logistics and Supply Chain
- Types of AI Agents
What You’ll Learn:
- 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.
Career Opportunities:
- 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.
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%
Self-Study Materials:
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Videos: Engaging visual content to enhance understanding and learning experience.
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Podcasts: Insightful audio sessions featuring expert discussions and real-world cases.
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Audiobooks: Listen and learn anytime with convenient audio-based knowledge sharing.
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E-Books: Comprehensive digital guides offering in-depth knowledge and learning support.
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Hands-on: Practical experience through real-world exercises, case studies, and applied learning.
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Module Wise Quizzes: Interactive assessments to reinforce learning and test conceptual clarity.
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Additional Resources: Supplementary references and list of tools to deepen knowledge and practical application.
Frequently Asked Questions:
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Q: What are the key AI technologies taught?
A: You’ll learn about predictive analytics, machine learning for demand planning, and AI-driven logistics management. -
Q: What real-world applications will I explore?
A: You’ll work on projects like optimizing warehouse operations and forecasting supply chain disruptions using AI. -
Q: What industries benefit most from this course?
A: Retail, manufacturing, and logistics industries can significantly benefit from AI-driven supply chain improvements. -
Q: What tools will I use in the course?
A: You’ll use tools like AI-based optimization software and predictive analytics platforms. -
Q: What does the AI+ Supply Chain™ course cover?
A: This course teaches how AI can be used to optimize supply chain operations, including demand forecasting and inventory management.
Certificate Features:
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High-Quality Video, E-book & Audiobook
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Modules Quizzes
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AI Mentor
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Access for Tablet & Phone
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Online Proctored Exam with One Free Retake
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Hands-on Practices