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AI+ Supply Chain (AP-710 Self-Paced Training)

Seminardauer: 1 Tag

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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