Where Stokk runs today, and the retail it's built for.
We're straight about which is which. The first three are live deployments, described by industry and anonymised until each customer clears use of their name. Below them are use cases the same operating model fits, shown as the shape of the problem, not as customers we don't yet have.
Three retailers running Stokk now.
Real deployments. Names withheld until cleared; the industries and the way the operating model works are exactly as described.
“Migration took weeks, not months, and the store managers actually trust the draft now. They edit a handful of lines instead of rebuilding the whole order every week.”
- Off AGR and live in about two weeks
- Store managers edit a few lines instead of rebuilding orders
- Fewer emergency same-day deliveries between stores
“We swapped the once-a-year stock-take panic for rolling weekly counts the staff actually like, and the forecasts are right often enough that we trust them, with the reasoning attached when we don't.”
- Annual count cycle replaced with rolling weekly counts
- Forecasts the buying team trusts, reasoning attached
- Fewer overstocks to clear at markdown
“Each showroom gets its own draft sized for what it actually sells, instead of a national average that's wrong everywhere at once.”
- Per-showroom orders instead of national averages
- Leaner stock through the seasonal resets
- One approved plan from buying through to fulfilment
Not everyone uses everything. Everyone extracts real value.
Stokk is the whole operating system over time, but each piece pays back on its own. Pick the one job that hurts most today; adopt the rest when you're ready, never as a second project.
Your buyers rebuild Monday's order from scratch every week.
Adopt only the Monday Morning Brief. AI drafts every store's order overnight with the reasoning written out; you review, edit a few lines and send.
Same ERP, same suppliers, nothing else has to change.
PurchasingOne store runs dry while another sits on the same overstocked SKU.
Per-location replenishment sizes each store for its own demand and suggests the lateral transfer before it suggests a fresh PO.
Start here even if central purchasing stays exactly as it is.
ReplenishmentYou shut the doors once a year to count, and dread it.
Turn any phone or a cheap handheld into a counting station and run rolling weekly counts. Adjustments post straight back to your ERP.
No planning layer required to get the value.
CountingThe floor runs on five separate tools and a clipboard.
Sales-order and transfer picking, receiving, put-away and shelf labels on one login that writes back to your ERP. Shopify in-store pickup included.
Runs without the planning or marketing modules.
FulfilmentYou want a loyalty programme, not another vendor wired into your stack.
Apple & Google Wallet passes and SMS segments, built on the customer, product and stock data you already have in Stokk.
Works on its own, no second integration, no planning dependency.
MarketingPlanning lives in a workbook only one person fully understands.
Per-SKU-per-location forecasts and per-store drafts with the reasoning attached, so the judgement is written down, not trapped in someone's head.
The fastest way to de-risk a single point of failure.
ForecastingBuilt for retail like yours.
We don't have a named customer in every category yet, so these are honest 'built for' scenarios, described by the shape of the problem. The operating model is the same; only the assortment changes.
Furniture
PotentialWhen a wrong call costs three months, per-location forecasting and MOQ- and freight-aware purchasing keep showrooms supplied without over-ordering to be safe.
Fashion & apparel
PotentialForecasting per style, colour, size and store, so drops land where they'll actually sell and markdowns start from a leaner position.
Hardware & DIY
PotentialHigh-SKU replenishment with continuous counting and put-away on the floor, so trade and retail demand are both covered without a yearly shutdown.
Toys & hobby
PotentialEvent-aware forecasting builds for the seasonal peak and the launch spikes, then winds inventory back down before the new year.
Sporting goods & outdoor
PotentialPer-location, per-size replenishment with floor tools for counting, transfers and labels across the seasonal swing.
Specialty grocery & food
PotentialFrequent, demand-sized reorders that respect supplier MOQs and lead times, with the brief flagging risk before a gap appears on the shelf.
Potential use cases are illustrative, they describe retail Stokk is designed for, not customers we have. Run a different kind of shop? Tell us the shape and we'll be straight about fit.
Want to be the next one we can name?
Book a demo on your own data. The live deployments started exactly here.