Operations automation for product brands

A connected view of stock across your warehouses. Reorder workflows built around your lead times. Less repetitive spreadsheet work.

An independent service proposition for Shopify product businesses doing £1–10m, with stock split across UK, EU or US warehouses.

30 MIN · FREE · NO PITCH

The problem

The problem, if it's yours

Your bestseller is out of stock in the US while the EU warehouse holds four months of it. Shopify says one number, the 3PL portal says another, and the spreadsheet that decides your next purchase order says a third. Somebody on your team spends hours every week ferrying numbers between systems, and reorders still get triggered by a warehouse email or a customer complaint.

When tools are configured separately, stock information can diverge across regions. Someone then has to reconcile the systems manually, leaving less time for planning and customer delivery.

The system

What I do about it

I build the operations backbone in tools you already understand: Airtable for stock visibility, connected to supported Shopify and 3PL data sources, with reorder points based on sales velocity and lead times. Alerts flag low stock for review, and dashboards support planning. Integrations, sync frequency and reporting are agreed around your data and operating needs.

01

Single source of truth

Airtable connected to the Shopify and 3PL sources agreed in scope.

Agreed sync schedule
02

Per-region reorder points

Calculated from real sales velocity and real lead times.

Per SKU, per region
03

Low-stock alerts

Configured thresholds flag stock for review and replenishment planning.

Threshold alerts
04

The Monday dashboard

Stock cover, fulfilment performance and cash tied up in stock, per region.

Every Monday

Try the demo build

This interactive front-end demonstration uses invented numbers for a fictional home fragrance brand with UK, EU and US warehouses. It illustrates inventory and reorder calculations; it is not connected to live Shopify or 3PL accounts. A client implementation would be configured and tested against its own data.

demo data

Two SKU locations are below their reorder point this morning. Click a row and it shows its working.

1. Reorder point11/day × (40d lead + 14d safety) = 594 units
2. Trigger342 available + 0 inbound < 594, so it flags
3. Suggested ordertop up to 60d cover = 758 units, 64 cases of 12 = 768 units
1. Reorder point6/day × (35d lead + 21d safety) = 336 units
2. Trigger144 available + 0 inbound < 336, so it flags
3. Suggested ordertop up to 60d cover = 426 units, 18 cases of 24, lifted to supplier MOQ of 600 = 600 units

Invented numbers for a fictional brand. A client implementation would be configured and tested against its own products and data.

Book a scoping call
Ownership

The implementation runs in your accounts. Deliverables and handover are agreed in the project scope; third-party subscriptions, licences and usage charges are agreed separately.

Ready to see it against your own numbers?

Thirty minutes, free, no pitch. I'll tell you honestly whether an audit is worth your money.

Book a scoping call