AI-driven Decision Making

We combine AI-method such as reinforcement learning with mathematical optimization to derive effective operational decision strategies. The developed methods enable dynamic, real-time decision making under incomplete information.

Applications include:

• Dynamic pricing and demand management in mobility an dtransportation platforms
• Fleet allocation an dworkforce scheduling in transportation and mobility services
• Inventory management to balance reliable supply with transportation and holding cost
• Trip planning and routing to ensure fast journeys that respect individual preferences