INVOICE PROCESSING

Inbound Invoice Terms Parser to Discount Tracker (Outlook + Postgres)

Reads new vendor invoice emails in Outlook, extracts the early-payment discount terms and due date with AI.

CategoryInvoice Processing
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew invoice email in OutlookOutlook
  • ActionExtract terms and dates with OpenAIOpenAI
  • LogicValidate fields and compute discount-expiry date
  • ActionUpsert record into Postgres discount_trackerPostgreSQLPostgres
  • OutputStructured tracked invoice row

What it does

When a vendor invoice lands in a monitored Outlook mailbox, this workflow extracts the invoice number, amount, issue date, and any early-payment discount terms from the email and its attachment using an AI extraction step. It computes the exact date the discount expires and inserts a structured record into a Postgres tracking table that downstream workflows and dashboards read from.

When to use it

Use it as the ingestion front-end for a discount-capture program when invoices arrive as PDFs by email with inconsistent formatting. It turns messy inbound mail into clean, queryable rows so you never lose track of a discount window again.

How it works

  1. 1A new-email trigger fires on the AP Outlook inbox.
  2. 2An OpenAI extraction step parses vendor, invoice number, amount, issue date, and discount terms from the body and attachment.
  3. 3A logic step validates the fields and computes the discount-expiry date from issue date plus the discount-day count.
  4. 4An action inserts (or upserts on invoice number) the record into the Postgres `discount_tracker` table.
  5. 5Output: the new row, ready for the expiry-scanner workflow to monitor.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OutlookMail, calendar, contacts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  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.

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