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
Reduce customer churn
Development of a model to integrate internal and external data to forecast customer churn in a time-sensitive approach
Optimization of master data quality
Training of a neural network for significant improvement and sustainability of master data quality without additional manual effort
Prediction of payment failures
Predicting payment defaults by developing a customer payment profile to reduce the risk of payment defaults
Optimizing of configuration
Development of a neural network to identify similar configuration features in order to plan manufacturing costs in a cost-optimal way