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Transforming Supply Chain Management

AI+ Supply Chain™

Study Type

Self Paced

No of Exam & Duration

1 & 8 hours (1 Day)

Modules

8

Exam Time

50 MCQs, 90 Minutes

Passing Score

70% (35/50)

Price: $195 Buy This Course

  • 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

 

  • 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.

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

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.

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.

Ques:- What are the key AI technologies taught?

Ans:-You’ll learn about predictive analytics, machine learning for demand planning, and AI-driven logistics management.

Ques:- What real-world applications will I explore?

Ans:-You’ll work on projects like optimizing warehouse operations and forecasting supply chain disruptions using AI.

Ques:- What industries benefit most from this course?

Ans:-Retail, manufacturing, and logistics industries can significantly benefit from AI-driven supply chain improvements.

Ques:- What tools will I use in the course?

Ans:-You’ll use tools like AI-based optimization software and predictive analytics platforms.

Ques:- What does the AI+ Supply Chain™ course cover?

Ans:-This course teaches how AI can be used to optimize supply chain operations, including demand forecasting and inventory management.

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