Stokk
Plan · Reporting

How the business is doing, before your coffee.

Open Stokk and the scoreboard is waiting: revenue and margin against last month and last year, GMROI, dead stock and every store against the same day last week, with a one-line read from Stokk AI on top. No data warehouse, no BI project, no spreadsheet on a Sunday.

Book a demoSee where the cash sits
Dashboard
Stokk AI: A good week. Revenue is up on last year in five of six stores; Riverside is the one to look at.
Revenue, month to date
€184,200
+6.2% on last year
Gross margin
52.4%
+0.8 pts on last month
GMROI
2.9
+0.2 on last year
Dead stock
€11,400
+€1,900 this month
Sales by store, today vs the same day last week€ thousands
  • Harbour St+11%
  • Old Town+5%
  • Riverside−10%
  • Market Sq+18%
  • Northgate−6%
  • Eastside+11%
Fig. 1 The morning scoreboard: four numbers that matter, every store at a glance, and Stokk AI’s read of the day.
Runs on top of
  • Oracle NetSuite
  • Microsoft Dynamics 365 Business Central
  • Shopify
  • DK
01Before Stokk

Monday’s numbers shouldn’t arrive on Thursday.

Sales in the till system, stock in the ERP, margin in a spreadsheet someone rebuilds every month. By the time the picture is clear, the week it describes is over.

How it usually goesWith Stokk
  • A monthly spreadsheet, rebuilt by handThe scoreboard, fresh every morning
  • This month against nothing in particularAgainst last month and last year, same days
  • Dead stock found at the yearly countDead and slow stock, by item, every day
  • A BI tool and a consultant to run itRetail reports built in, nothing to set up
  • Everyone sees the same dashboardA dashboard per role: buying, stores, warehouse
02What it does

The reports a retailer actually reads.

All built on the same sales and stock your orders use, so the scoreboard and the decisions never tell different stories.

  1. 01

    The scoreboard

    Revenue and gross margin against last month and last year, ex-VAT, comparing the same number of days so far.
  2. 02

    GMROI and stock turns

    How hard your stock is working, for the business as a whole, with a plain verdict: steady, watch or act.
  3. 03

    Inventory value

    Value, turns, excess and dead stock by supplier, down to items and locations. Consignment stock kept out. Discount slow lines from the report.
  4. 04

    Dead stock

    Items that haven’t sold, banded by how long and how much cash they hold, with the supplier and category beside them.
  5. 05

    Sales, any way you cut it

    Any date range against last year or the period before, by store, supplier, customer or product attribute. Save a view and share the link.
  6. 06

    Customer health

    Who’s drifting, who’s lapsed and the revenue at risk, worked out every night from what customers actually bought.
  7. 07

    A dashboard per role

    Owners see the scoreboard, buyers their suppliers, store managers their store, the warehouse its queue. Floor roles never see cost.
  8. 08

    Forecast accuracy

    How close each forecast came to what sold, by model and by item, so you can trust the numbers your orders are built on.
03On screen

Where the cash sits, and how good the forecasts are.

Two of the reports owners open most once the scoreboard is a habit.

Reports/Inventory value
SupplierValueExcessDead
Fjell Ceramics€38,200€6,900€1,200
Ostara Botanicals€22,600€2,100€300
Nordvik Glass€19,800€9,400€5,800
Harbour Linen Co.€14,100€3,000€900

Click a supplier for its items, by location. Discount slow lines straight from here.

Fig. 2 Inventory value: what each supplier’s stock is worth, how fast it turns, and how much of it is excess or dead.
Reports/Forecast accuracy
Which model wins, item by item

Five models run for every item at every store. The most accurate over the last 120 days is kept.

  • Smoothed average · Steady sellers41% of items
  • Same week last year · Seasonal lines23% of items
  • Trend · Growing or fading items14% of items
  • Croston · Patchy, now-and-then sellers12% of items
  • 84-day average · Everything else10% of items
Fig. 3 Forecast accuracy: which of the five models wins across the catalogue.
04What changes

Decisions made on this week’s numbers, not last month’s.

Every morning
a fresh scoreboard
The numbers are ready before the shop opens.
Less
cash in dead stock
Slow lines show up while there’s still time to sell them.
No BI
project to run
Nothing to build, host or maintain. It comes with the data.

What the way of working changes, stated directionally rather than as audited figures. Results vary with category mix, lead times and the quality of the data in your ERP.

05Stokk AI

A one-line read of the day, and answers in plain words.

Stokk AI writes a one-line read of the day above the numbers, so the first thing you see is what changed and whether it matters.

Want to know more? Ask Stokk in plain words, like which supplier holds the most dead stock or how Riverside did against last year, and it answers from your live data.

What people ask about Reporting.

Do we need a data warehouse or a BI tool?
No. Reporting runs on the data Stokk already holds for your orders, refreshed every night from your ERP.
Can we export the numbers?
The inventory grid, supplier drill-downs and order sheets export to a spreadsheet. Sales views can be saved and shared by link.
Can store staff see costs and margins?
No. Cost and margin are hidden from floor roles; owners and buyers see them.
Works with

Same stock, same sales, same login. The next module is a switch, not a project.

08:00, any morning

Know how you’re doing before the shop opens.

Half an hour on a working sample: the scoreboard, inventory value and dead stock. If Stokk isn’t right for your shop, we’ll say so on the call.

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