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
Prerequisites
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.
Course Objectives
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.
Outline
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