What does a footwear label do when its wholesale partner closes half its store network? Carvela is choosing locations from order data rather than from property pitches, and the sequence is the interesting part. The Kurt Geiger-owned footwear label, previously stocked at David Jones, has launched a locally fulfilled ecommerce site, carvela.au, and says a national bricks-and-mortar rollout will follow. As of November 15, 2026, the company's stated logic is simple: every order tells it where the customer lives and what she buys, and that is how store locations get picked.
Ecommerce first, stores second
For a brand leaving a wholesale channel, the usual reflex is to find a retail partner quickly. Running ecommerce first inverts that. Orders arrive with a postcode attached, returns reveal fit problems by region, and the full-price sell-through rate shows which styles carry a market before a lease is signed. The cost of being wrong about a store location is measured in years; the cost of being wrong about an assortment online is measured in weeks.
Three inputs for store selection
Order data is useful, but only when it is read at the right grain. A postcode with forty orders a quarter looks like a market until you notice that half of them were gifts shipped elsewhere, and a high return rate can signal a fit problem rather than weak demand. The table below shows the three inputs that matter for a first store, and the trap in each.
| Input | What it tells you | Common trap |
|---|---|---|
| Order density by postcode | Where demand already exists | Counting one-off gift orders as local demand |
| Return rate by postcode | Where fit guidance is failing | Reading returns as low demand rather than a size problem |
| Full-price sell-through by style | Which range carries a market | Averaging across styles and hiding the tail |
A store in the wrong trade area is expensive in a way an online misstep is not: rent is fixed, staff are fixed, and the assortment is visible to every shopper who walks past. That asymmetry is the argument for testing the assortment online first, even if the brand intends to open stores within a year.
The wholesale gap has to be priced in
Local stock is a promise
The site holds stock locally and ships locally, with free returns. That combination sets an expectation that a store must later match. A brand that runs local fulfilment well and then opens stores with thinner stock will disappoint the customers it just acquired, which is why availability discipline has to travel with the rollout.
Who absorbs the demand from closing stores
With about half of the department store network closing, some of that traffic will move to brand sites and some will not move at all. The brands that can measure the transfer, by postcode and by category, will pick better locations than those that simply assume the demand will follow them online.
A rollout checklist built on order data
The point of the exercise is not to build a model. It is to make the first three leases defensible with numbers that already exist in the order system, before a property agent brings a shortlist. Most brands already hold two quarters of postcode-level orders and returns; the work is assembling them into one view, not collecting new data.
Opening stores after an online debut is not a new idea, but the discipline of using order data to choose the trade area is still uncommon. For brands inheriting a wholesale gap, it is the cheapest form of market research available.
FAQ
Why launch ecommerce before stores?
It generates postcode-level demand and return data before rent is committed, which makes the first lease a measurement rather than a guess.
What is the biggest risk of this sequence?
Under-stocking the store after setting a local-fulfilment expectation online. Availability discipline has to carry over.
How should closing wholesale accounts be treated?
As a demand transfer to be measured by postcode and category, not as demand that automatically moves online.
