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