AI+ Supply Chain™

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Duration
1 day

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
WalkIn®

Digital supply chains are under a lot of pressure: volatility, data volumes, and speed are all increasing. Artificial intelligence helps make planning, control, and decisions more precise and robust. The focus is on practical concepts, current technologies, and measurable added value for modern supply chain structures.

Key topics

  • AI-supported forecasts and demand planning.
  • Automated inventory and production control.
  • Data quality, analytics, and machine learning.
  • Transparency, resilience, and risk management.
  • Integration of AI into existing processes.

Prerequisite
Basic understanding of supply chain or business processes and openness to data-based methods.

Target group
Specialists and managers from logistics, purchasing, operations, production, consulting, and management with an interest in AI-supported process optimization.

In-depth knowledge of AI in the supply chain strengthens decision-making, efficiency, and competitiveness in dynamic markets and creates a solid foundation for sustainable, data-driven value creation.
 

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course content
  • Overview of artificial intelligence in supply chain management (SCM)
  • Transformation of supply chains through AI
  • Ethical implications of AI in supply chains
  • Machine learning in the supply chain
  • Expert systems in SCM
  • Integration of images and text into supply chain AI
  • The origins of generative AI
  • Generative AI in yield management and demand forecasting
  • Transformer and LSTM architectures in generative AI
  • Introduction to Supply Chain Digitization
  • Supply chain integration and push-pull strategies
  • Supply chain resilience, planning, and sustainability
  • Introduction to Smart SCM
  • Use of Smart SCM and Prompt Engineering
  • Future trends in Smart SCM
  • Introduction to Industrial SCM
  • Business benefits of AI and generative AI in the supply chain
  • Risks and challenges in introducing AI and generative AI in industrial SCM
  • The role of supply chain management in the organization
  • Inventory strategy for efficient supply chain management
  • Technical coverage of SCM with multidimensional aspects
  • Supplier selection and relationship management with AI
  • Mastering advances in SCM with modern artifacts
  • What are AI agents?
  • What are AI agents in logistics and supply chains?
  • Applications and trends of AI agents in the supply chain
  • How does an AI agent work?
  • Key features of AI agents
  • Key benefits of AI agents in logistics and supply chain
  • Types of AI agents

Frequently asked questions

  • Fundamentals and applications of AI in the supply chain—from demand planning to automation, practical and professionally relevant.
  • The course shows how machine learning, predictive analytics, IoT, RPA, and digital twins can be specifically integrated into supply chain processes.
  • It demonstrates practical skills in using AI in supply chain processes – up-to-date, application-oriented, and internationally recognized.
  • Systems analyze sales figures, weather data, or trends and make precise suggestions—before bottlenecks arise.
  • Robotic Process Automation (RPA) takes over repetitive tasks, relieves teams, and speeds up processes.
  • Real-time data makes complex chains visible and processes traceable, improving control and responsiveness.
  • Learning takes place online, at your own pace—with interactive modules, easy-to-understand content, and a practical final project.

Do you have any further questions? Please contact us.