AI+ Supply Chain

Revolutionize Supply Chain Efficiency with AI-Driven Innovation.

Description

 

The AI+ Supply Chain™ Certification offers an in-depth exploration of how Artificial Intelligence (AI) is transforming supply chain management.
 
Covering everything from basic concepts to advanced applications, the course highlights AI-driven solutions for supply chain optimization, including leveraging generative AI for developing innovative strategies, digitizing supply chain operations, and managing logistics efficiently.
 
Participants will also explore AI applications designed for specific industries and engage in a hands-on workshop to address real-world supply chain challenges with AI technologies. Get ready to lead the way in AI-driven supply chain innovation.
 
 

Prerequisites

 

  • Foundational Knowledge: Understanding of core supply chain processes, concepts, and operations.
  • AI Awareness: Basic knowledge of AI, including machine learning and data analytics, is recommended.
  • Experience with Tools: Familiarity with business management software, such as ERP systems or data analysis platforms, will be advantageous.
  • Problem-Solving Expertise: Strong analytical and critical thinking skills to implement AI-driven techniques in complex supply chain scenarios.

 

Course Outline

 

Module 1: Introduction to Artificial Intelligence in Supply Chain

  1. 1.1 Overview of Artificial Intelligence in Supply Chain Management (SCM)
  2. 1.2 Transforming Supply Chains with AI
  3. 1.3 Ethical Implications of AI in Supply Chains

 

Module 2: Advanced AI Techniques for Supply Chain

  1. 2.1 Machine Learning in Supply Chain
  2. 2.2 Expert Systems in SCM
  3. 2.3 Integrating Images and Text in Supply Chain AI

 

Module 3: Generative AI in Supply Chain Management

  1. 3.1 The Origin of Generative AI
  2. 3.2 Generative AI in Revenue Management and Demand Forecasting
  3. 3.3 Transformer and LSTM Architectures in Generative AI

 

Module 4: Supply Chain Digitization

  1. 4.1 Introduction to Supply Chain Digitization
  2. 4.2 Supply Chain Integration and Push-Pull Strategies
  3. 4.3 Supply Chain Resiliency, Planning and Sustainability

 

Module 5: Intelligent Driven Supply Chain Management

  1. 5.1 Introduction to Smart SCM
  2. 5.2 Employing Smart SCM and Prompt Engineering
  3. 5.3 Future Trends of Smart SCM

 

Module 6: Industry Aspects of Advanced SCM

  1. 6.1 Introduction to Industrial SCM
  2. 6.2 Business Value from AI and Gen AI in Supply Chain
  3. 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

  1. 7.1 Role of Supply Chain Management in the Organization
  2. 7.2 Warehousing Strategy for Efficient Supply Chain Management
  3. 7.3 Technical Coverage of SCM with Multi-Dimensional Aspects

 

Module 8: Supply Chain Masterclass with AI Assistance

  1. 8.1 Supplier Selection and Relationship Management with AI
  2. 8.2 Mastering Advancements in SCM with Modern Artefacts

 

Optional Module: AI Agents for Supply Chain

  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

 

 

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