
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
Development of an AI model based on Machine Learning for early identification of customer needs to avoid OOS-situations
Development of a model to integrate internal and external data to forecast customer churn in a time-sensitive approach
Training of a neural network for significant improvement and sustainability of master data quality without additional manual effort
Predicting payment defaults by developing a customer payment profile to reduce the risk of payment defaults
Development of a neural network to identify similar configuration features in order to plan manufacturing costs in a cost-optimal way