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AI inventory & warehouse optimisation: less capital locked in stock.

Demand forecasting and replenishment that free working capital, cut stockouts, and lower carrying cost — without ever starving the line.

Demand forecastingReplenishment optimisationPredictive analyticsWarehouse slotting
Representative outcomes

What this approach is built to deliver.

25%lower inventory carrying cost (typical range 15–30%)
30%fewer stockouts (typical range 20–40%)
Weeks → hoursReplenishment planning cycle
FreedWorking capital released from excess stock

What the approach is built to deliver: working capital released from stock that isn't moving — without the line ever running short.

The challenge

Too much of the wrong stock, too little of the right.

Inventory is a balancing act between two expensive failures: capital tied up in stock that isn't moving, and stockouts that halt production or lose sales. Spreadsheets and static reorder points can't track demand that shifts weekly.

The opportunity is to forecast demand accurately, set replenishment intelligently, and lay out the warehouse around how goods actually move.

Signals you'll recognise
  • Cash tied up in slow-moving stock
  • Stockouts halting the line or losing sales
  • Reorder points that never reflect reality
  • Pickers walking miles for fast-movers
Our approach

Forecast, optimise, and lay it out right.

We model demand at the SKU level, turn it into replenishment policy, and optimise where stock physically sits — then keep it live as conditions change.

01

Unify

Pull sales, production, lead-time and supplier data into one clean view.

02

Forecast

Model demand per SKU, accounting for seasonality and trend.

03

Optimise

Set reorder points and quantities that balance cost against service level.

04

Slot

Lay out the warehouse so fast-movers are closest and picking is shortest.

05

Operate

Dashboards and alerts keep planners ahead of stockouts and overstock.

What we engineer

From raw data to a tighter balance sheet.

SKU-level forecasting

Demand models that capture seasonality, trend and intermittency per item.

Replenishment policy

Reorder points and quantities tuned to your target service levels and costs.

Warehouse slotting

Placement optimised around real pick frequency and flow.

Stockout & overstock alerts

Planners are warned before a problem becomes a cost.

Scenario planning

Model demand spikes, supplier delays and what-ifs before they hit.

Live operations dashboards

One view of inventory health, value at risk, and service performance.

Capital stuck in stock?

Tell us how your inventory moves. We'll map where forecasting and optimisation free cash and protect supply.