TableMarkerAI ticket tagging from a spreadsheet
Upload a CSV export from your help desk — TableMarker tags every ticket with category, priority and sentiment in seconds.
The problem
Support teams drown in untagged tickets. Rules engines miss new patterns; manual tagging eats hours every day. Generic AI assistants work on a single ticket but don’t scale to a CSV export.
How TableMarker solves it
TableMarker reads each ticket row and writes back tags into new columns. You describe the categories, priorities and edge cases once in the prompt and process the whole export at once.
Ready-made prompts
Ticket category
Read the ‘Body’ column and pick one category: billing, shipping, returns, technical issue, product question, other. Write a single word.
New columns: Category
Priority based on free text
Set priority to high if the ticket mentions outage, refund, lost order or angry tone. Otherwise medium. Use ‘low’ for general questions.
New columns: Priority
Customer sentiment
Detect sentiment in the ‘Body’ column: positive, neutral, negative.
New columns: Sentiment
FAQ
Which help desk exports are supported?
Anything that exports to CSV or XLSX — Zendesk, Intercom, Freshdesk and others. You only need ticket text, ID and any custom columns you’d like to use in the prompt.
Can I use my own taxonomy?
Yes. List categories and priority rules in the prompt, including edge cases. The same taxonomy applies to every row.
Is this safe for customer data?
We don’t store your spreadsheet. Avoid uploading PII; if you must, anonymize names, emails and phones first — data is sent to external AI providers for processing.
Related use cases
AI product descriptions for marketplaces
Upload your catalog — TableMarker writes a unique description for every SKU using one prompt and your tone of voice.
Lead enrichment and scoring from a spreadsheet
Upload your CSV of leads — TableMarker enriches each row with industry, score and a personalized opener.