AI+ Supply Chain Practitioner™

• Supply Chain Professionals: Enhance your supply chain management skills by integrating AI tools for improved forecasting, inventory management, and process optimization.
• Logistics & Operations Managers: Learn to leverage AI for optimizing logistics, route planning, and warehouse management to enhance operational efficiency and reduce costs.
• Procurement Experts: Use AI to improve supplier selection, demand forecasting, and inventory replenishment, streamlining procurement processes.
• Business Leaders: Drive innovation in your supply chain by adopting AI technologies to automate workflows, predict demand, and optimize end-to-end operations.
• Students & New Graduates: Gain a competitive advantage in the supply chain field by mastering AI tools and techniques that are transforming global logistics and supply chain management.

• Leverage AI for Smarter Supply Chain Operations:

  Learn how AI tools can optimize logistics, reduce costs, and improve supply chain efficiency from end to end.

• Optimize Demand Forecasting with AI:

  Use AI-driven analytics to predict demand, streamline inventory management, and reduce stockouts or overstocking.

• Stay Ahead in AI-Powered Supply Chain:

  As industries increasingly adopt AI, professionals with AI supply chain expertise are in high demand to drive innovation and efficiency.

• Enhance Decision-Making with Predictive Analytics:

  Master AI algorithms to analyze supply chain data and make informed, real-time decisions to improve overall operations.

Inhoud

• 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

• 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

• LeewayHertz (ZBrain)
• C3.ai
• Coupa (LLamasoft)
• Zebra (Workcloud Demand Intelligence Suite)

Lesmethode

Instructor-led OR Self-paced course + Official exam + Digital badge

Kenmerken

Online proctored exam included, with one free retake.
Exam format:

50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Voorkennis

• Foundational knowledge of supply chain, Prior experience with business management or technical tools, such as ERP systems or data analysis software, will be beneficial.