INVOICE PROCESSING

Quantity-Mismatch Vendor Clarification Loop

When billed quantity differs from received quantity, drafts and sends a clarification email to the vendor, logs the open query in Airtable.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew invoice matched to PO and receiptGmailGmail
  • LogicCompare billed vs. received quantity
  • ActionDraft vendor clarification emailOpenAI
  • ActionSend clarification to vendorGmailGmail
  • ActionLog open query with SLA dateAirtableAirtable
  • OutputRemind AP if vendor reply is overdueSlack

What it does

Handles the over/under-shipment class of mismatch by closing the loop directly with the vendor. Instead of an AP clerk writing the same email by hand, it composes a specific quantity-discrepancy query, sends it, tracks the open item, and chases a stale reply.

When to use it

Use it when invoice quantity routinely disagrees with the goods receipt and the resolution is almost always a back-and-forth with the supplier. It standardizes that conversation and keeps unanswered queries from going cold.

How it works

  1. 1A new invoice triggers the flow and is matched to its PO and goods receipt.
  2. 2A branch compares billed vs. received quantity per line and continues only on a quantity delta.
  3. 3The flow drafts a clarification email citing the PO number, line, ordered, received, and billed quantities.
  4. 4The email is sent to the vendor contact via Gmail.
  5. 5An open-query row is logged in Airtable with an SLA due date.
  6. 6If no vendor reply lands before the due date, AP gets a Slack reminder to follow up.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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