Logistical master data is often incorrect or inaccurate, which requires tedious manual maintenance and hinders data-driven innovation. Forecasts, analyses or AI models – all of these approaches require precise and reliable information in order to derive strategic decisions or optimizations.

The solution

DSCS is the key to clean master data, which forms the foundation of all logistics processes. It guarantees that information about products, suppliers and stock levels is accurate and up-to-date. With DSCS, wrong decisions that can lead to delays, increased costs and dissatisfied customers can be effectively avoided. It also enables a comprehensive analysis and evaluation of master data quality and identifies valuable optimization potential.

Contact person

Hermann Foot
Fraunhofer IML
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Lukas Lehmann
Fraunhofer IML
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