Integration and synchronization

In Metrivox, the process of Machine Learning for single clouds is centralized. Collecting data occurs in a local cloud, and personal data is stored according to the legal and organizational requirements. For central learning, only anonymous information is used.

Rules and impact

Central data is split into relevant sets that train the “rule generator”. Rules are applied to each single cloud to drive the actual decisions. Each relates to the customer journey of an individual customer.