Service
How the provider works with the team: onboarding, responsiveness and support in daily operations.
WAIR best
To confirm with OLYMPWhat made the difference on service, in OLYMP’s words.
OLYMPWAIRCase study · German market
Tested in the German market against the leading inventory providers
For six months, OLYMP put WAIR side by side with the leading inventory providers in German fashion.
WAIR came out best on all three levels that were assessed: service, functionality and the quality of the output.
- ServiceWAIR best
- FunctionalityWAIR best
- Quality of outputWAIR best
The results in OLYMP’s wholesale, with WAIR live
Wholesale stock vs last year−9.7%before WAIR: −2.6%
Wholesale sell-through23.6%same weeks last year: 19.9%
Stock turn, replenished+12.4%from 1.74 to 1.95
Adopted automatically100%of daily target stocks, no overrides
The comparison
Six months, three criteria, one outcome
OLYMP did not choose on a demo. It compared WAIR with the leading inventory providers on the same three criteria, in its own business.
That is what makes this case different from a before-and-after story. The question was not only whether stock could be run better, but who runs it best.
Functionality
What the tool can actually do for wholesale floors and own stores.
WAIR best
Target stock per style and location, recalculated every day, on 52 locations. By the end, 100% adopted without changes.
Quality of output
Whether the recommendations hold up in stock, sales and sell-through.
WAIR best
Wholesale stock −9.7% vs last year with growth held, and sell-through up from 19.9% to 23.6%.
How the results were measured: every week compared with the same week a year earlierCore styles = the styles making 80% of unit sales
The results
Wholesale: stock down hard, growth held, sell-through up. Own stores: stock down too, while demand was still below last year.
Before WAIR is the change vs last year in weeks 1–26. WAIR live is the change vs last year in weeks 27–37.
Wholesale
56 core styles = 80% of unit sales| Metric | Before WAIR | WAIR live |
|---|---|---|
| Stockvs last year | −2.6% | −9.7% |
| Revenuevs last year, growth held | +13.1% | +13.0% |
| Core styles, unit salesvs last year | −4.3% | +1.7% |
| Core styles, stockvs last year, availability 98% | −0.8% | −18.2% |
| Sell-throughBefore WAIR = same weeks last year | 19.9% | 23.6% |
Own stores
100 core styles = 80% of unit sales| Metric | Before WAIR | WAIR live |
|---|---|---|
| Stockvs last year | +7.0% | −2.6% |
| Revenuevs last year, decline narrowed | −4.4% | −2.5% |
| Core styles, unit salesvs last year | −15.1% | −10.2% |
| Core styles, availabilityBefore WAIR = last year | 93% | 95% |
| Sell-throughBefore WAIR = same weeks last year | 33.6% | 33.5% |
Green = clear improvement. Core styles are the styles that together make 80% of unit sales, with the same styles and locations in both years.
Wholesale, benchmark vs WAIR
Sell-through: same weeks 27–37, 2025 vs 2026 with WAIR live. Stock turn: replenished styles, before WAIR vs with WAIR.
Replenished styles+12.4%
Wholesale stock turn (1.74 → 1.95), with weekly unit sales up 9.1% and stock down 2.9%. Store end stock −21.7% from week 26 to 38.
Automatic, every day100%
of the daily recalculated target stocks were adopted automatically by week 37. Nobody had to check or override them.
Next step, modelled−29.4%
Further stock the model sees as possible for week 37. Forecast accuracy against target 64% → 96%, calculated overstock almost 90% lower.
Modelled, not yet realisedReading the numbers honestly
- Revenue growth was already there. Wholesale grew +13.1% before WAIR and +13.0% with WAIR live. That growth held with almost 10% less stock. We do not claim the growth itself.
- The own stores had a demand gap, not a stock gap. Core-style sales stayed below last year, while availability held or rose and stock came down from +7.0% to −2.6%.
- Different lengths, same yardstick. The period before WAIR runs 26 weeks and WAIR live 11, so every number is the change versus the same weeks last year.
- The biggest step is still ahead. The −29.4% is modelled, not realised. That is what the next phase is for.
About OLYMP
German menswear, built on the shirt
OLYMP is a German menswear brand from Bietigheim-Bissingen, founded in 1951 and best known for its shirts. Most of its business runs on wholesale floors at department stores and retail partners, next to its own stores.
One shirt style runs across collar sizes, sleeve lengths and fits. Too much stock on a partner floor ties up capital and ends in the markdown; too little, and the customer leaves without their size. Across dozens of locations, that is a daily decision, which is why OLYMP wanted the best tool for it.
- Type of company
- Menswear brand
- Headquarters
- Bietigheim-Bissingen, Germany
- Channels
- Wholesale and own stores
- Compared with
- The leading inventory providers
- WAIR live
- 52 locations, weeks 27–37 2026
- WAIR agent
- Wallie, daily target stock
Wallie · AI replenisherFrom static targets to daily decisions
Wallie, WAIR's AI replenishment agent, was connected to OLYMP's sales and stock data. From week 27 it recalculated the target stock for every style at all 52 locations, every day.
Wallie runs on Forecast-GPT, WAIR's forecasting model for fashion. It reads real sell-through per location and size. Where a style sells, the target goes up. Where it stands still, stock is held back before it turns into a markdown.
OLYMP's team could check and overrule every target. By week 37, they no longer needed to: 100% of the daily target stocks were adopted automatically, as part of daily operations.
Whoopie · AI plannerFrom test to roll-out
The comparison answered OLYMP's question. On wholesale, daily demand-driven target stock brought stock down, lifted sell-through and core-style sales, held growth, and ran without manual work.
For week 37 the model sees room for a further 29.4% less stock, with forecast accuracy against target rising from 64% to 96%. The next phase is about realising that:
- Daily target stock across more wholesale locations
- The own stores, as demand recovers
- From replenishment towards planning, with Whoopie
“[Why OLYMP compared WAIR with the leading inventory providers, and why WAIR came out best.]”