Products & Stock
Every SKU in its place.
Know which products are making money, which are freezing capital, and which need to be delisted — from your own POS data, without opening a spreadsheet.
Products & stock · live overview
Stock value
€ 184K
On-hand at cost
Active SKUs
192
Selling in range
Stockouts
12
Below safety cover
Slow movers
47
Velocity below threshold
Revenue at risk
€ 23K
Tied in dead stock
Frozen capital
€ 40K
Non-moving 30d+
Velocity Quadrant
Margin × sell speed scatter plot. Stars — push hard. Dogs — delist. Every quadrant carries an action recommendation built into the view.
Each bubble = one SKU group. Size = revenue contribution.
Category Treemap
Tile size = revenue. Tile colour = margin tier. Click any category to drill into individual SKUs and see which ones are pulling weight.
Click any tile to drill into individual SKUs.
ABC × XYZ Matrix
Every SKU classified by revenue volume (A/B/C) and demand stability (X/Y/Z). Combined view reveals what to stock reliably, what to watch, and what to cut.
A = top 80% revenue · X = stable demand · Z = erratic demand
Nothing slips through.
Surfaced daily across every store in the network. Each alert links directly to the problem SKU — no spreadsheet trawling required.
SKU #0482 — Pastry box 6pc
4 stores · 34 days no movement
SKU #1847 — Branded tote bag
Wedding · 61 days no movement
SKU #1209 — Espresso blend 1kg
Kreuzberg · 1.2 days cover left
SKU #2031 — Cold brew bottle
Neukölln · 3.8 days cover left
Alerts fire across every store in the network — no manual checking required.
Every SKU, ranked and scored.
Velocity, sell-through and stock cover per SKU — sortable and filterable by store and category in the live module.
Products & Stock FAQ
What to know before you evaluate the module.
Yes. The module reads from your POS or ERP via the marql data layer. No manual imports — SKU-level data updates on the cadence of your source system, typically hourly or daily.
Each SKU is plotted on two axes: sell-through speed (units sold / time in range) on X, and actual margin contribution on Y. The four quadrants — Stars, Cash Cows, Questions, Dogs — each carry a default action recommendation that you can override.
ABC ranks SKUs by revenue volume (A = top 80%, B = next 15%, C = bottom 5%). XYZ ranks by demand stability (X = stable, Y = seasonal, Z = erratic). The combined 3×3 grid tells you what to stock reliably, what to watch, and what to cut.
If a SKU's sell velocity drops below a threshold for a configurable number of days, it surfaces as a Deadstock alert with the store name and the days of stock remaining. Stockout alerts fire when projected cover falls below your configured safety level.
Yes. Every view is filterable by store, date range, and category. The Category Treemap tiles are clickable — selecting a tile drills into the SKUs within that category.
See it on your own SKU data.
We connect to your POS or ERP, run the first Velocity Quadrant on your actual catalogue, and show you which products to push, hold, and cut — in 20 minutes.