Data-driven learning of control rules

Data-driven learning of control rules

DaCoR develops data-driven virtual representations of logistics processes that can be derived independently from company information. This creates flexible models that capture complex operating logics and significantly simplify planning processes.

Real-time ordering of medical products

Real-time ordering of medical products

AI4Demand relieves hospital staff by recording stock levels using computer-aided analysis and triggering replenishment independently. This makes care more efficient and increases the focus on patient care.

Efficient carton set optimization

Efficient carton set optimization

Increasing product diversity and dynamic order structures pose new challenges for shipping processes. This is where CASTN comes in, enabling companies to tailor their packaging range to real requirements — for less empty space, greater efficiency, and an economically sensible selection of cardboard boxes.

Procurement optimization with artificial intelligence

Procurement optimization with artificial intelligence

AI-BOSS uses AI-supported analysis methods to bundle requirements in a meaningful way, enabling a leaner, more efficient sheet metal range. Companies benefit from lower storage and handling costs, while material availability increases at the same time.