INVOICE PROCESSING

Monthly Recurring-Vendor Price-Drift Sweep to Airtable

On a monthly schedule, scans your invoice history in Postgres for every recurring vendor, ranks who raised prices the most.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerschedule
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule fires the audit
  • ActionQuery all recurring vendors and their recent invoicesPostgreSQLPostgres
  • LogicCompute per-vendor drift and drop sub-threshold noise
  • OutputUpsert ranked drift report into Airtable baseAirtableAirtable

What it does

Instead of reacting to one invoice at a time, this workflow does a portfolio-wide audit. Once a month it pulls every vendor you pay repeatedly, calculates the change between their two most recent invoice cycles, and ranks them by how much their effective price moved. The output is a clean Airtable view where finance can sort by biggest increase, filter by category, and decide which contracts to renegotiate.

When to use it

Use this when you want a recurring management report rather than per-invoice alerts. It pairs well with a monthly vendor-spend review or quarterly budget planning, surfacing the cumulative creep that single-invoice checks miss.

How it works

  1. 1A monthly schedule triggers the sweep.
  2. 2The workflow queries Postgres for all vendors with at least two invoices in the lookback window.
  3. 3For each vendor it computes period-over-period drift and an annualized rate.
  4. 4A logic step filters out vendors below a materiality floor so noise is dropped.
  5. 5Surviving rows are sorted by drift magnitude.
  6. 6Results are upserted into an Airtable base, one row per vendor with old total, new total, delta, and percentage.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect AirtableBases, tables, views, automations.
  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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