Reviews 4,2
Reviews 4,5
100% fundable

AI+ Supply Chain Practitioner™

Supply chains can quickly become unstable – due to volatile markets, scarce resources, or unforeseen events. Applying AI in the supply chain means reacting earlier, planning better, and acting with greater confidence. This course delivers the knowledge needed to do exactly that.

Key topics

  • Forecasting and demand planning with AI-powered methods
  • Automated inventory and production control in practice
  • Data quality, machine learning, and analytics in the SCM context
  • Transparency, resilience, and risk minimisation in global supply chains
  • Integration of AI into existing systems and processes

Prerequisite
Those with experience in logistics, procurement, or operational processes can start right away. Programming skills are not expected.

Target group
Managers and specialists from procurement, production, operations, or consulting who want to advance their supply chains with AI.

Supply chain management without AI is becoming the exception – not the rule. Those who understand and apply these methods today secure stability, efficiency, and competitiveness for tomorrow.
 

course content
  • Core concepts of AI and its role in supply chain management
  • How AI is reshaping logistics and procurement workflows
  • Responsible use of AI across global supply networks
  • Machine learning approaches for SCM optimisation
  • Knowledge-based systems for decision support in procurement
  • Multi-modal data – combining images and text in supply chain AI
  • How generative AI emerged and what drives it
  • Practical use in revenue management and demand forecasting
  • Transformer and LSTM models explained for supply chain contexts
  • Foundations of supply chain digitalisation and what drives it
  • Push-pull strategies and end-to-end integration in modern SCM
  • Building resilient, sustainable, and plannable supply networks
  • What Smart SCM is and why it matters for modern logistics
  • Deploying Smart SCM with prompt engineering in operational settings
  • Where intelligent supply chain management is heading
  • SCM in industrial production environments – an overview
  • Value creation through AI and generative AI along the supply chain
  • Adoption barriers and risk management when deploying AI in industrial SCM
  • SCM’s position and responsibilities within the organisation
  • Inventory strategies that keep supply chains lean and responsive
  • Multi-dimensional perspectives on SCM technology and process coverage
  • AI-based supplier evaluation and long-term relationship management
  • Applying current SCM advances with modern tools and frameworks
  • What AI agents are and how they differ from classic automation
  • AI agents in logistics – specific roles and real-world scenarios
  • How an AI agent perceives, decides, and acts
  • Core properties: autonomy, goal-directedness, and adaptability
  • Use cases and emerging trends in supply chain AI agents
  • Efficiency gains and competitive advantages through agent-based AI
  • Agent architectures: reactive, deliberative, and hybrid types

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.