CHATBOTS

Inbound warranty-email claim parser

Watches a warranty inbox, extracts the serial number and defect details from each email, validates eligibility, and files a structured claim record with the photo attachments…

CategoryChatbots
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew email in warranty inboxGmailGmail
  • ActionExtract serial, product, and fault from email
  • ActionSave photo attachments to claim folderDropboxDropbox
  • LogicValidate serial and check eligibilityAirtableAirtable
  • ActionCreate structured claim recordAirtableAirtable
  • OutputSend acknowledgement reply to customerGmailGmail

What it does

Turns unstructured warranty emails into clean claim records. It reads each inbound message, pulls out the serial number, product, and described fault, saves any photo attachments, checks the serial and purchase window against your registry, and creates a structured claim so nothing sits unparsed in an inbox.

When to use it

Use it when customers email warranty requests to a dedicated address (warranty@yourco) rather than using a form or chat. Ideal for teams drowning in free-text emails that each need a human to copy fields into a tracker.

How it works

  1. 1A new message arrives in the warranty inbox and triggers the flow.
  2. 2The agent extracts serial number, product, fault description, and contact from the email body.
  3. 3Photo attachments are uploaded to a Dropbox claim folder.
  4. 4The serial is validated and the purchase window checked against the Airtable registry.
  5. 5A branch flags ineligible or unparseable mail for human review.
  6. 6Eligible requests become a structured Airtable claim record, and an acknowledgement reply is sent to the customer.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect DropboxFiles and folders.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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