Ordering and stock
See at a glance what is out of stock and losing sales, and where capital is tied up.
The right stock in the right place: what, how much and for which store to order, plus lost sales and overstock.
What it looks like
The system’s home screen — with demo data.
2,684,950 revenue 812,300 margin 1,126,400 stock
All budget groups · all brands · 9 stores · Oct 25 – Oct 26 (current)- Oct 25 – Sep 26
- 2,512,600
- Oct 24 – Sep 25
- 2,322,200
- Oct 25 – Sep 26
- 760,300
- Oct 24 – Sep 25
- 719,300
- average
- 1,214,800
- since Sep 2025
- ▼ 6.3%
- last ~30 days
- ▼ 0.8%
- Oct 25 – Sep 26
- 0.63
- Oct 24 – Sep 25
- 0.57
- of stock
- 17.5%
- idle over 12 mo.
- 151,300
- new, unsold
- 46,300
- stock in them
- 58,700
- revenue before
- 214,500
- revenue
- 156,400
- share of revenue
- 5.8%
- stock in them
- 41,900
- units / month
- 4,380
- revenue / month
- 64,700
118,760 at cost
2,410 lines · 9,380 pcsGo to orders →H / B / T · by revenue
- SKU
- 3,280 (9.0%)
- GMROI
- 1.34
- Sales
- 1,718,400 (64.0%)
- Turnover
- 3.05
- Stock
- 259,100 (23.0%)
- SKU
- 10,580 (29.0%)
- GMROI
- 0.69
- Sales
- 805,500 (30.0%)
- Turnover
- 1.52
- Stock
- 405,500 (36.0%)
- SKU
- 22,620 (62.0%)
- GMROI
- 0.11
- Sales
- 161,050 (6.0%)
- Turnover
- 0.29
- Stock
- 461,800 (41.0%)
X / Y / Z · stability
- SKU
- 1,090 (3.0%)
- GMROI
- 1.18
- Sales
- 1,101,000 (41.0%)
- Turnover
- 2.71
- Stock
- 236,500 (21.0%)
- SKU
- 4,010 (11.0%)
- GMROI
- 0.71
- Sales
- 832,300 (31.0%)
- Turnover
- 1.63
- Stock
- 304,100 (27.0%)
- SKU
- 31,380 (86.0%)
- GMROI
- 0.38
- Sales
- 751,650 (28.0%)
- Turnover
- 0.96
- Stock
- 585,800 (52.0%)
M1–M3 · margin class
- SKU
- 2,920 (8.0%)
- GMROI
- 1.52
- Margin
- 487,400 (60.0%)
- Turnover
- 3.24
- Stock
- 247,800 (22.0%)
- SKU
- 10,210 (28.0%)
- GMROI
- 0.66
- Margin
- 276,200 (34.0%)
- Turnover
- 1.49
- Stock
- 383,000 (34.0%)
- SKU
- 23,350 (64.0%)
- GMROI
- 0.09
- Margin
- 48,700 (6.0%)
- Turnover
- 0.31
- Stock
- 495,600 (44.0%)
Group focus
14% stock
19% stock
3% stock
13% stock
12% stock
15% stock
20% stock
4% stock
How it works
- 1Real demand
The sales rate is measured only on days the item was in stock, so a stock-out never reads as weak demand. Interchangeable items from different brands can be counted together as one group.
- 2A buffer per item and store
The buffer is the most that can sell before the next delivery arrives — based on the lead time, the cover you want and seasonality.
- 3Zones and priority
Stock is compared with the buffer: Critical, Urgent, Soon, OK or Overstock. Orders go first where the buffer is most depleted and sales are already being lost.
- 4Order and allocation
The order tops up what was sold back to the buffer. It is split across stores by the chance of a sale, following any rules the company has set.
What you see at a glance
- Lost sales
How many units and how much margin you lose each month to stock-outs — by group, brand and store — and how much more you will lose before the next delivery.
- Capital tied up
Overstock above the buffer, dead stock with no sales at all and items whose sales have stopped, valued in money at purchase cost.
- Assortment classes
H/B/T by revenue or margin, X/Y/Z by demand stability and a matrix of both. Clicking a class filters every screen.
- Turnover and GMROI
Revenue, margin, average stock, turnover and return on inventory, compared with last year.
- Days of cover
How many days the stock lasts at the current rate and whether it runs out before the next delivery — and how many sales will be lost until then.
- By item and by store
Stock, sales and the order for every store separately. Clicking a store shows the chart and the calculation for it alone.
In day-to-day work
- One screen for the order
For every item: potential, chance of a sale, buffer, days of cover, urgency and quantity. Everything in the filter is selected and can be adjusted with a click.
- Why this order
The item card shows monthly sales and stock, demand corrected for stock-outs and the calculation step by step, with the split across stores.
- Rarely sold items
Items that sell rarely hold no buffer and no capital — they are marked “on demand” and ordered when a customer asks.
- Shared filters
Brand, groups, stores, zones, classes and lead time are set once and apply on every screen.
- Data warnings
Gaps and inconsistencies in the data show on a separate screen before they can distort the order.
What it includes
- How much you lose to stock-outs — in money
- How much capital is tied up in overstock
- What, how much and for which store to order
- TOC ordering instead of guesswork
A good fit if
- Some items run out while others gather dust
- Supplier orders are made by gut feeling
- Our cash sits frozen in the warehouse
Technology
Frequently asked questions
Who is it for?
Retailers and distributors with many items and locations — chains, wholesale and retail — especially with a central warehouse and interchangeable brands.
Why is it better than ordering from a forecast?
Instead of guessing the future, the system tops up what was sold to a buffer computed from real demand. The method follows the Theory of Constraints (TOC): more sales with less capital tied up and higher turnover.
What data do we need?
Sales by store and month, days in stock, current stock, purchase costs and item groups. Data is read straight from your ERP database, with no manual entry.
Do we have to replace our ERP?
No. The system reads from your ERP, and the finished order is copied to Excel or exported as CSV for your ERP.
Can we adjust the order by hand?
Yes. Any quantity changes with a click, lines can be left out of the order, and the item card explains why that quantity was suggested.
Where does it run?
A web app on your own server or in Microsoft Azure, used in the browser. Data reloads from the database with one button, for every user at once.
Want this solution for your business?
Tell us how you work today — we will show you what the solution looks like with your data.
Get in touch