Global Swiss Pharma producer

Problem

• Customer struggled with detecting anomalous financial transactions – the current process is labour intense and error prone due to mass volume of the transactions and amount of false positive alerts

Solution

• Unsupervised machine learning system to automatically flag anomalous transactions together with prioritisation based on severity and an explanation why a given transaction can be an anomaly

Impact

• Lower need for manual interaction
• More accurate transactions monitoring
• Quicker time to act on an alert