Data-Driven Procurement. No More Spreadsheet Guesswork.
Why Manual Reordering is Capping Your Cash Flow
The £50k Freeze
Capital locked in slow-moving inventory while fast-movers stock out, costing between £5,000 and £10,000 in monthly lost sales.
Manual Fragility
Your procurement team spending 15 hours weekly in Excel, risking expensive human error on million-pound orders.
The Inconsistent Cover Cycle
A feast or famine inventory cycle that stresses your warehouse team and creates unpredictable cash flow spikes.
Missed Opportunities
Sub-optimal ordering means missing out on volume discount tiers or failing to consolidate shipments to reduce freight costs.
Anatomy of an Automated Purchasing Engine
Velocity Tracking
The engine monitors SKU-level sales trends in real-time, accounting for seasonality, historical dips, and upcoming marketing promotions.
Supplier Profile Sync
Our logic inverts the traditional model by ingesting Supplier Lead Times, Minimum Order Quantities (MOQs), and Tiered Pricing data directly into the decision gate.
The Replenishment Algorithm
The system calculates the Economic Order Quantity (EOQ) by balancing the cost of holding stock against the risk of a stockout.
Automated Draft Generation
Instead of a blank spreadsheet, the system pushes a prepared Purchase Order draft into Shopify or your ERP, requiring only a final human approval to go live.
Citable Statistics for Enterprise Performance
Inventory Efficiency
30–40% reduction in excess dead stock within the first 60 days.
Labour Savings
Buyer analysis time reduced from 15 hours to under 3 hours weekly.
Revenue Recovery
Captures an average of £5,000–£10,000 in monthly sales previously lost to stockouts.
ROI
Typical implementation costs £5,500–£7,500. Average payback period: 1-2 weeks.
From Audit to Automation in 4 Weeks
Discovery
We analyse your supplier history and SKU velocity to identify where capital is currently being misallocated.
Scoping
We programme your specific supplier MOQs, lead times, and shipping constraints into the engine.
Build
Our engineers build the n8n logic gates that calculate your optimal reorder points based on live Shopify data.
Handover
We establish the final check-and-balance system where your buyer reviews and approves automated drafts with one click.
FAQ
Yes, each supplier profile has its own historical lead-time variance.
Yes, the algorithm rounds up to the nearest MOQ or case quantity.
We can input “Promo Factors” to inflate demand forecasts for specific periods.
Yes, we can push data to Brightpearl, Linnworks, or NetSuite.
Yes, based on cost or speed priority.
Yes, it tracks open POs and adjusts reorder points accordingly.
Yes, because we customise the algorithm to your specific business logic.
Yes, every draft PO includes the “reasoning” data.
Yes.
Brands with 150+ SKUs and 10+ suppliers.
Is Your Infrastructure Capping Your Scale?
A 2-minute diagnostic to uncover your ‘Invisible Tax’.
2 stores will qualify for our manual deep-dive monthly.
