INVOICE PROCESSING

Invoice Due-Date Tracker with ClickUp Payment Reminders

Runs daily over approved invoices in Postgres, surfaces anything due within the early-payment-discount window or approaching its due date.

CategoryInvoice Processing
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionQuery approved unpaid invoices from PostgresPostgreSQLPostgres
  • LogicBranch: discount-eligible, due-soon, or overdue?
  • ActionCreate or update dated ClickUp reminder taskClickUpClickUp
  • OutputDeliver prioritized list to AP ClickUp listClickUpClickUp

What it does

Scans your approved-and-unpaid invoices in Postgres every morning and evaluates each against its payment terms. It identifies invoices where paying now captures an early-payment discount, invoices approaching their net due date, and invoices already overdue. For each actionable invoice it creates or updates a ClickUp task with the vendor, amount, the relevant date, and the reason it surfaced, so the AP team works a single prioritized list.

When to use it

Use this when approved invoices sit in a system but nobody is actively watching payment timing, causing missed early-payment discounts or late fees. It turns due-date management into a daily, prioritized ClickUp queue.

How it works

  1. 1A daily schedule triggers the run.
  2. 2The flow queries Postgres for approved, unpaid invoices and their terms.
  3. 3It computes each invoice's discount cutoff and net due date.
  4. 4A branch classifies invoices as discount-eligible, due-soon, or overdue.
  5. 5Actionable invoices generate or update a dated ClickUp reminder task.
  6. 6The prioritized list is delivered to the AP team's ClickUp list.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect ClickUpDocs + tasks + chats in one workspace.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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