Customer Support Ticket Parsing
Structure customer support data automatically.
ParseFlow extracts customer details, issue categories, and key information from support forms and complaint letters — turning unstructured feedback into actionable data.
Before & after
The old way vs. the ParseFlow way
The old way
Support agents manually read complaint letters and feedback forms, then type customer details and issue summaries into your ticketing system. Important details get missed. Categorization is inconsistent.
The ParseFlow way
ParseFlow extracts customer names, contact details, issue descriptions, and categories from support PDFs automatically. Import the structured data directly into your CRM or ticketing system.
Schema
Example extraction schema
Define this schema once in ParseFlow, then reuse it across all your customer support ticket parsing documents.
{
"customer_name": "string",
"customer_email": "string",
"date": "date",
"subject": "string",
"category": "string",
"priority": "string",
"description": "string",
"product": "string",
"resolution_requested": "string"
}Example
Input → Output
Input (PDF)
A formal customer complaint letter about a defective product, including customer details, order number, and requested resolution.
Output (Structured Data)
Customer: Maria Schmidt, Email: m.schmidt@email.de, Date: 2024-03-18, Subject: Defective Product, Category: Product Quality, Priority: High, Product: Model X-500, Resolution: Full refund requested.