The retail scoreboard that replaces your BI tool.
Power BI and the rest are blank canvases: powerful, but they need a data warehouse, a specialist to wire them up, and they know nothing about retail. Stokk reports on the data it already runs on, with the metrics that actually move a multi-location retailer, ready on day one.
Sits on top of your ERP. Reads stock, writes transactions, never duplicates the source of truth.
BI tools are a project. Retail needs an answer.
To get a margin trend out of a generic BI tool you first build a pipeline, model the data, and hire someone who speaks DAX. Meanwhile the answer, is this month better than last, is the kind of thing a retailer needs every Monday, not every quarter.
- Revenue and margin, month-over-month and year-over-year
- GMROI, sell-through and dead stock by store and category
- Customer health: growing segments vs. ones slipping away
- Per-role dashboards: each role opens its own scoreboard
- No data warehouse, no DAX, no separate BI licence
- Built on the same live data Stokk already runs on
Capabilities, in plain language.
Revenue & margin, in context
Month-over-month and year-over-year on the same screen, ex-VAT, with the comparison a retailer actually asks for already done.
GMROI & sell-through
Return on the inventory dollar, by store, category and supplier, so working capital goes where it earns its keep.
Dead stock, surfaced
What hasn't moved, where it's sitting, and what it's tying up, instead of discovering it at the annual count.
Customer health
The same growing and slipping signals from the CRM, rolled up so the trend is visible, not buried per-customer.
A dashboard per role
The buyer, the store manager and the warehouse each open a scoreboard scoped to their job, not one dashboard that fits no one.
No pipeline to build
It reports on the data Stokk already holds. Nothing to model, no warehouse to feed, no specialist to hire.
Numbers a retailer reads in five seconds.
The metrics that move a multi-location retailer, pre-built and live, instead of a blank canvas waiting on a data team.
- Reykjavík312confirmed
- Berlin284drafted
- Hamburg198drafted
- Stockholm241confirmed
- Oslo174open
- Copenhagen209drafted
The numbers Stokk customers report after the first cycle.
After the first full ordering cycle, lost-sale events on A-classified items roughly halve.
Buyers stop building proposals from scratch. The Brief lands; they review and approve.
Stokk's per-store sizing and lateral transfers free cash that was sitting on a pallet.
Continuous counts replace the once-a-year shutdown count.
Reporting that explains itself.
The numbers come with the same plain-language reasoning as the Monday Brief. A margin dip is annotated with what drove it, so a red number is a starting point, not a mystery.
Because reporting runs on the same data as forecasting and purchasing, the scoreboard and the decisions never disagree. What you measure is what the AI acted on.
How AI gets used here
Decisions stay explainable. Every recommendation has a written reason and a human approval step. Your data isn't used to train shared models. Claude's prompts are scoped per request.
Plays nicely with the systems you already pay for.
Common questions about this module.
Does this really replace Power BI?
For retail operating reporting, yes: revenue, margin, GMROI, dead stock, customer health, per store and role. If you have a finance team that lives in Power BI for board packs, keep it; most retailers find the day-to-day questions are answered here without it.
Do we need a data warehouse?
No. Reporting runs on the data Stokk already holds. There's nothing to model or pipe in, and no separate BI licence to buy.
Can we export the numbers?
Yes, to CSV for anyone who wants to take a slice into their own spreadsheet or board pack.
Other parts of the operating system.
See Reporting live in 20 minutes.
A demo on a working sample, then we map it to your ERP, your SKUs and your stores. Your own data comes in onboarding. You decide if it earns its place in your operating system.




