Support Mail Analysis
AI-assisted analysis of incoming support mails – from the raw mail to a structured record including a reply draft.
In technical sales and support, the inbox fills up with all kinds of requests every day: pricing questions, complaints, project planning, delivery status. This demo shows how a language model automatically classifies every incoming mail, rates its urgency, routes it to the right place and even drafts a reply – in seconds instead of manual sorting.
1.Mail arrives
A support mail comes in – unstructured, freely worded, with very different concerns.
2.AI analyses
The model detects category, urgency, business area and sentiment and summarises the request precisely.
3.Structured record
The result is a clean record with a reply draft and routing recommendation – ready for your ticketing system.
Browse the 25 test mails
These are the generated incoming mails the demo works with. Use the arrows to flip through the examples.
Note: the example mails are in German on purpose – they are sample data for the DACH market.
- From
- Markus Stein <m.stein@datacenter-nordwest.example>
- Company
- Datacenter Nordwest GmbH
- Subject
- Anfrage FiberConnect X8 für neue 400G-Spine-Leaf-Verkabelung
Tip: use the ← / → arrow keys to browse.
See what the AI makes of it
In the full demo you see the complete AI analysis for every mail: category, urgency, summary, risks and the finished reply draft – with filters and a ticket list.
Open the full demoAll companies, names, mail addresses and cases in this demo are fictional. The application runs entirely in your browser – no data is sent and no external services are called.