Leverage the value of your data!
Our AI identifies customers with high up-selling potential or determines whether the cost-benefit ratio requires action. Furthermore, it detects users with fraudulent intentions These
signals are used to trigger processes, make offers and inform employees.
Benefits:
Systems based on machine learning significantly increase the degree of process automation. Examples include automatic email conversations, coverage checks and fraud detection or the correct allocation of cases to the right employee at the right time. We help you to make better decisions faster.
Benefits:
Every action of your customers or the absence of an action is taken into account when learning customer behaviour with predictive analytics. This makes it possible to predict when a purchase decision is due or when customers will churn. The insights gained enable you to optimally design highly personalized offers and to deliver them to your customer via the most efficient communication channel.
Benefits:
Dynamic pricing based on modern machine learning provides insurance companies with innovative opportunities to actively influence product sales. In contrast to traditional pricing methods, it is possible to react immediately to market changes with individualised offers.
Benefits: