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Starts 10 June 2025 03:00

Ends 10 June 2025

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Optimizing SAP Supply Chains and Sustainability with AI/ML

Discover how AWS AI/ML services integrate with SAP systems to optimize supply chains, reduce costs, and improve sustainability through enhanced demand planning and reduced energy consumption.
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Overview

Discover how AWS AI/ML services integrate with SAP systems to optimize supply chains, reduce costs, and improve sustainability through enhanced demand planning and reduced energy consumption.

Syllabus

  • Introduction to Course and Objectives
  • Overview of SAP systems and supply chain management
    Introduction to AWS AI/ML services
    Course goals: optimizing supply chains, cost reduction, and improving sustainability
  • Fundamentals of SAP Supply Chain Management
  • Structure and components of SAP supply chains
    Key performance indicators in supply chain management
    Challenges in traditional supply chain management
  • AWS AI/ML Services Overview
  • Introduction to AWS AI/ML tools and services
    Use cases of AI/ML in various industries
    Benefits of integrating AI/ML with existing systems
  • Integration of AWS AI/ML with SAP Systems
  • Methods for integrating AWS AI/ML services with SAP
    Tools and technologies for seamless integration
    Case studies of successful integrations
  • Optimizing Demand Planning with AI/ML
  • Techniques for improving demand forecasting using AI
    Use of machine learning algorithms to enhance demand planning
    Real-world applications and outcomes
  • Reducing Supply Chain Costs with AI/ML
  • Identifying cost drivers in supply chains
    Machine learning strategies for cost reduction
    Examples of successful cost optimization
  • Improving Sustainability and Reducing Energy Consumption
  • Role of AI/ML in enhancing sustainability
    Data-driven energy management solutions
    Strategies for minimizing environmental impact
  • Practical Applications and Case Studies
  • Analysis of real-world examples and case studies
    Discussion on lessons learned and best practices
    Group activity: designing a strategy for AI/ML implementation in a sample supply chain
  • Ethical and Legal Considerations
  • Addressing ethical concerns in AI/ML applications
    Understanding legal implications and data privacy
    Ensuring compliance with international regulations
  • Course Review and Q&A
  • Summary of key topics covered
    Open floor for questions
    Guidance on further learning and resources

Subjects

Business