AI AGENTS

Vendor Quote Inbox Agent: Parse Quote Emails into a Coda Table

Watches a procurement inbox for incoming vendor quote replies, extracts line items, unit prices, lead times, and validity dates, and files each quote against the matching RFQ.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew email in procurement inboxGmailGmail
  • LogicConfirm it references an open RFQ
  • ActionAgent extracts quote line items and terms
  • ActionAppend parsed quote to CodaCodaCoda
  • OutputNotify sourcing channel in SlackSlack

What it does

This agent monitors a shared procurement Gmail inbox. When a vendor replies with a quote, it reads the email body and any attachment text, extracts pricing fields, matches the quote to an open RFQ by reference number, and appends a structured quote record to Coda.

When to use it

Use it once RFQs are out and quotes start trickling back as free-form emails. It eliminates the manual copy-paste of vendor pricing into your sourcing sheet and keeps every quote tied to the right request.

How it works

  1. 1A new email arrives in the procurement Gmail inbox (trigger).
  2. 2A logic step checks whether the message references a known RFQ number and is actually a quote, not a clarification.
  3. 3The agent extracts vendor name, line items, unit price, total, lead time, and quote validity.
  4. 4It appends the parsed quote as a row in the Coda quotes table, linked to the parent RFQ.
  5. 5A short summary is posted to the sourcing Slack channel so buyers see new quotes land.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect CodaDocs, packs, automations.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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