Technology

Mathematics and AI
in real operations

Not AI for the sake of AI, but tools that help managers make concrete operational decisions.

From data to action

Technology as an extension of the operating model

We formalize business rules, build a mathematical model, validate it on real data and turn it into a practical management interface.

Data→Standards→Optimization→Decision→KPI

LP/MILP, constraint programming, flow and resource balancing, scheduling.

Forecasting, pattern detection, intelligent analytics and decision support.

Web systems, databases, APIs and application interfaces built around a specific process.

ERP/WMS/TMS/YMS/SCM, data exchange and a gradual move from Excel to an industrial operating environment.

Example

The planned material flow becomes the input for workforce requirements and then for an optimized shift assignment.