Optimization of master data quality
Training of a neural network for significant improvement and sustainability of master data quality without additional manual effort
Reduce customer churn
Development of a model to integrate internal and external data to forecast customer churn in a time-sensitive approach
Avoidance of out-of-stock situations
Development of an AI model based on Machine Learning for early identification of customer needs to avoid OOS-situations
Extension of an existing business warehouse
Reduction of the monitoring effort through customer-specific extensions of the existing business warehouse
Automated management reporting
Automated reporting recognises anomalies and trends at an early stage and points to effects in the business development
