An automated inventory example, followed step by step

The key facts

• The worked example: a Shopify order arrives by webhook, checks itself against live stock, becomes a pick list, an invoice, and a reorder signal — no human retypes anything.
• What automation replaces: transcription, availability phone-calls, manual reorder maths, and the payment-status chase.
• What stays human: approval decisions, variance explanations, and the judgement behind par levels — automation guards; it does not decide.
• BSimple runs the example as a product — $180/mo AUD up, trial; the automation overview is the map.

The example: one order, no re-keying

9:14am — a customer checks out on the store. The order arrives in the system by webhook (no copy-paste), and the first automation fires immediately: availability is checked against live quantities — including stock already promised elsewhere — with guardrails blocking anything the shelf cannot honour. 9:15 — it joins the pick queue. The floor sees the new order with a delivery slip, sequenced with the morning's other picks; nothing was re-keyed into a spreadsheet first.

10:40 — picked and packed. Quantities are confirmed at the bench (a scan or a tap), and the order's state moves on the record — visible to sales and to the customer. 10:41 — invoicing. The checked order becomes a draft invoice with quantities, prices and tax carried from the order; on approval, stock deducts once and the invoice pushes to the accounting system. Next day — payment mirrors back. The books mark it paid; the order record shows it, unprompted. Meanwhile — the reorder signal. The sale moved a product toward its par level; the reorder view now includes it on the next purchase order — purchasing from demand closing the loop.

What the automation replaced, counted

Count the human steps in the manual version of the same order: transcribe the order (and re-check the transcription), walk to the shelf or phone the warehouse to confirm availability, write the pick list, re-key the invoice, email the books, chase the payment status, notice the stockout next week. The automated version keeps the two steps that need judgement — approving the invoice, deciding the reorder quantity — and removes the transcription between them. The organisation method and the tool examples break the same journey into adoptable pieces.

The arithmetic is the honest part: automation earns its cost per order times error rate times hours. Ten orders a day with clean manual handling may not justify it; a hundred orders a day with three handoffs always does.

Where automation stops — by design

Approvals stay human. In BSimple's design, invoices deduct stock and cross to accounting only when a person approves — automation prepares the decision, it does not make it. Variances stay human. A count that disagrees with the record produces a flagged variance, not a silent adjustment; explaining it is the control. Judgement stays human. Par levels, supplier choices, and which exception deserves an exception — the system surfaces, management decides. The boundary design and the guardrail philosophy are the same thinking applied everywhere.

We build BSimple, so weigh that: the worked example above is its normal operation — Shopify webhooks, live checks, pick/pack flows, invoice push to Xero or MYOB (US integrations rolling out) — from $180/$250/$399 per month AUD, with the trial running one of your real orders through the whole path in an afternoon.