An email dataset constitutes the starting point for an "initialization run" during which all emails are assigned each to a so-called "category". By doing so, a number of so-called "hot topics" emerge, representing recurring business transactions.
However, Mailytica does not only recognize categories but also analyzes where the emails were forwarded to within a category . This means that the rules are automatically detected and defined based on the dataset. Of course, these routing rules can be checked at any time and manually adjusted if necessary.
After the initialization run, Mailytica can discern "hot topics" - recurring business transactions, and automatically forward new incoming emails to the desired location, according to the routing rules.
Emails that can not clearly be classified may be manually forwarded at any time. Each manual forwarding allows Mailytica to learn and apply its new knowledge to future emails. Mailytica is thus continuously trained in new and old categories and can continuously increase its routing rates.
AI Email Routing is an iterative process - the application is constantly learning through artificial intelligence. This allows for an each day broader range of decisions and higher quality.