AI+ Supply Chain™

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About Course

Executive Summary

AI+ Supply Chain™ provides a comprehensive overview of how Artificial Intelligence (AI) is transforming supply chain management across planning, logistics, forecasting, and strategic decision-making.

The program covers foundational AI concepts, advanced machine learning techniques, generative AI applications, supply chain digitization, intelligent logistics, sustainability, and industry-driven case studies.

Participants will gain practical knowledge on implementing AI-driven solutions to optimize operations, improve forecasting accuracy, enhance resiliency, and create data-driven supply chain strategies aligned with modern business goals.

Course Prerequisites

Basic understanding of supply chain management concepts and processes
General awareness of Artificial Intelligence and machine learning
Analytical and problem-solving skills
Prior exposure to ERP systems or data tools is beneficial

Course Outline

Module 1: Introduction to AI in Supply Chain

Overview of AI in SCM
AI-driven supply chain transformation
Machine learning applications in demand forecasting and logistics
Ethical and regulatory considerations
Traditional supply chain challenges

Module 2: Advanced AI Techniques for SCM

Machine Learning fundamentals
Expert systems and rule-based logic
Image and text processing (Computer Vision & NLP)
Practical implementation challenges

Module 3: Generative AI in Supply Chain

Foundations of Generative AI
GANs, VAEs, Diffusion Models
Revenue management and demand forecasting
Transformer & LSTM architectures

Module 4: Supply Chain Digitization

Digital supply chain evolution
AI, IoT, Blockchain, Big Data integration
Push-Pull strategies
Resiliency and sustainability planning

Module 5: Intelligent Supply Chain Management

Smart SCM concepts
AI integration strategies
Prompt engineering for SCM
Future trends in intelligent supply chains

Module 6: Industry Applications & Business Value

AI & Gen AI business impact
Industry-specific use cases
Risk management & adoption challenges
Implementation best practices

Module 7: Logistics & Technical Coverage

SCM strategic alignment
AI-driven warehousing
IT systems (ERP, WMS, TMS)
Global supply chains & sustainability goals

Module 8: Supply Chain Masterclass

AI-driven supplier selection
Demand forecasting model development
Autonomous logistics & drones
IoT, Blockchain & AI integration
Future-ready smart supply chains

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