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Watch a messy inbox turn into clean, structured data.
This is a simplified, browser-only version of a real automation pipeline: it reads raw, unstructured text — the kind that actually lands in a shared inbox — and classifies it, extracts the relevant fields, and flags anything it isn't confident about. No file is ever rejected; uncertain ones are flagged for review instead of silently dropped.
Raw inbox item
From: anna.becker@example.com Subject: Request for quotation Hello, We are interested in purchasing 25 office chairs for our new office. Company: Becker Consulting GmbH Contact person: Anna Becker Phone: +352 621 111 222 Please send us a quotation. Thank you, Anna
A clean, labeled quotation request.
Structured output
Customer email
Auto-cleared
- Subject
- Request for quotation
- Company
- Becker Consulting GmbH
- Priority
- normal
Automated next steps
- Create sales task
- Notify sales team
This is the simplified version.
Imagine this fully connected to your real inbox, invoicing system, and HR tools — every message triaged automatically, every uncertain case flagged for a two-minute human check instead of a full manual pass. That's the kind of change that gets my clients up to 18 hours a week back.
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