neticle Text Analysis

E-mail routing & analysis


Companies receive lots of emails to their single-point-of-contact on a daily basis. The sorting happens manually, someone has to forward each email to the right person or department. This procedure is time-consuming and repetitive.


Using Neticle’s API incoming emails can be analyzed automatically: they are given structured metadata, like sentiment score, topic labels, categories, and emotion-level. Based on these, structured rules are created, for example: if there is an email about an invoice and it has a very negative tone, it should be forwarded to the right account manager to be handled with high priority.

Implementation steps illustration
Kick-off workshop

3 hours

Kick-off workshop to understand email categories and patterns recognized by key colleagues.

Implementation steps illustration

1 week

Analysis of historical email volume to set up frequent patterns and routing rules.

Implementation steps illustration

1 week

Implementation of the rules to the default Text Analysis engine. Monthly review of the rules and email traffic to keep updated the routing algorithm.


Appx. 90% of the emails are forwarded directly and real-time to the responsible person. This reduces response time and improve client satisfaction. Based on the monthly reports provided about the received emails, new roles can be named to cover serious cases and support education programme can be settled due to the most frequent topics and issue types.

E-mail routing illustration
Neticle Labs

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If you have
business related questions:
Photo of Péter Szekeres
Péter Szekeres

Co-founder & CEO
[email protected]
+36 70 701 6488

If you have
technology related questions:
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Zoltán Csikós

Co-founder & CIO
[email protected]
+36 70 624 6955