AI+ Supply Chain (AP-710 Self-Paced Training)
Ziele der Schulung
The AI+ Supply Chain™ certification is designed to equip learners with the knowledge and skills needed to understand how Artificial Intelligence is transforming supply chain management. It provides in-depth coverage of AI-driven solutions for supply chain optimization, logistics, digitization, and advanced strategies for improving operations efficiency and decision-making. Participants will explore practical applications of AI tools, engage in hands-on workshops, and prepare to lead AI innovations in supply chain settings. What Will You Learn? — digital supply chain transformation, intelligent supply chain management, AI for logistics planning, predictive analytics for demand forecasting, and real-world AI applications in inventory and operations.
Zielgruppe Seminar
- Supply Chain Professionals seeking to integrate AI into forecasting, inventory, and process optimization.
- Logistics & Operations Managers aiming to apply AI to routing, warehousing, and operational efficiency.
- Procurement Experts interested in AI-enabled supplier selection and inventory replenishment.
- Business Leaders driving innovation through AI-enabled automation and predictive analytics.
- Students & New Graduates seeking competitive advantage in AI-enhanced supply chain roles.
Voraussetzungen
- Foundational knowledge of supply chain processes and operations.
- Basic understanding of AI, machine learning, and data analytics.
- Familiarity with business management or analytical tools (e.g., ERP systems).
- Strong analytical and problem-solving skills.
Seminarinhalt
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
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
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
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
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
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
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
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
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
Hinweise
Prüfung und Zertifizierung
- 50 multiple-choice questions
- 90-minute online proctored exam
- Passing score: 70% (35/50)
- Modules covered include the 8 certification modules listed above.
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