Reporting · Retire Power BI for retail

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.

Scoreboard · this month
Revenue, MoM
€412k
+8.4% vs last year
Gross margin
41.2%
+1.1pp vs last year
GMROI
3.4×
+0.3 vs last year
Dead stock
€31k
-12% vs last year
Margin up on a better supplier mix; dead stock down after two lateral transfers cleared slow lines.

Sits on top of your ERP. Reads stock, writes transactions, never duplicates the source of truth.

  • DK
  • Oracle NetSuite
  • Microsoft Dynamics 365 Business Central
  • Shopify
The problem

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
What's inside

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.

Behind the screen

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.

Per store
Revenue and margin, store by store
  • Reykjavík312confirmed
  • Berlin284drafted
  • Hamburg198drafted
  • Stockholm241confirmed
  • Oslo174open
  • Copenhagen209drafted
Trend
Up and to the right, or not
MAPE · 90-day rolling10.4% today · 42% last May
15 weeks agoToday
What changes

The numbers Stokk customers report after the first cycle.

–60%
stockouts on top-selling SKUs

After the first full ordering cycle, lost-sale events on A-classified items roughly halve.

–75%
buyer hours in spreadsheets

Buyers stop building proposals from scratch. The Brief lands; they review and approve.

–20%
working capital tied up in stock

Stokk's per-store sizing and lateral transfers free cash that was sitting on a pallet.

weeks → days
annual count cycle

Continuous counts replace the once-a-year shutdown count.

AI in this module

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.

Integrations

Plays nicely with the systems you already pay for.

Full integration list
DK PlusNetSuiteDynamics 365 Business CentralShopifyDirect CSV import
FAQ

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.

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.