Catch your winners. Cut your losers. Every week, automatically.
For fashion and apparel retailers running a test-and-reorder model, the Style Action Agent reads every active style weekly, telling the buyer which styles to reorder before the window closes and which to mark down before stock accumulates.
7
Reorder candidates
Window open
12
Clear immediately
Aged 8+ weeks
34
Monitor
Within targets
Top reorder candidates — window closing
SKU-4421 · Black Midi Dress
ST: 84% · 3.2 units/wk · Reorder: 18–24 units
5 days left
SKU-3387 · Cream Linen Blazer
ST: 71% · 2.1 units/wk · Reorder: 12–16 units
9 days left
SKU-5102 · Rust Slip Skirt
ST: 68% · 1.8 units/wk · Reorder: 10–14 units
11 days left
Clear — markdown recommendation
SKU-2204 · Green Print Dress
Age: 11 wks · Rec: 30% off · Channel: EDM + site
$2,340
SKU-1893 · White Lace Top
Age: 9 wks · Rec: 25% off · Channel: Site-wide
$1,120
laminir. Style Action Agent · Anchor-constrained
↓ Full product list
The problem it solves
Fast fashion retailers drop small test quantities across many styles each week. The model depends entirely on two decisions happening at the right time: reorder winners before the trend window closes, and cut losers before dead stock accumulates and compresses margin.
Currently buyers do this manually by pulling reports, building spreadsheets, and comparing sell-through against benchmarks they have memorised. It takes 2 to 4 hours a week. And because nobody can review 200 styles manually without missing things, winners get reordered late and losers get caught only when the damage is already done.
The Style Action Agent reviews every active style every week without exception. Nothing gets missed because someone ran out of time.
Two trigger modes, one agent
ROR — Reorder trigger
When a style's rate-of-sale velocity is strong enough to warrant a reorder and the supplier lead time window is still open, the agent flags it. Output: style, current sell-through rate, projected days to sellout, reorder window close date, recommended quantity range.
Clear — Markdown trigger
When a style has passed its viable sell-through window and stock is accumulating relative to expected velocity, the agent generates a markdown recommendation. Output: style, recommended depth, suggested channel, and margin impact at each depth.
The executive sees the commercial exposure. The buyer gets the full detail.
The Style Action Agent produces two outputs. The buying team receives the full brief: every style bucketed, every reorder candidate ranked by urgency, every clearance recommendation with margin modelling at each depth.
The executive sees a single line in their Pulse brief: the total stock requiring clearance decisions this week and the dollar exposure if those decisions are not made. That is the right level of detail for a CEO or CFO. Enough to understand the commercial risk, not so much detail that it becomes a merchandising review.
The brief is not for the trade meeting. It is for the executive who leads it. Style-level detail belongs with the buyer.
Everything comes from Shopify. One manual input at setup.
Shopify
Weekly sales velocity, current stock levels, product age, and full-price versus discounted sales split. Everything the agent needs to calculate sell-through rate and reorder urgency pulls automatically from your Shopify store.
Retailer profile (setup only)
Supplier lead times entered once per supplier or category. This is the only data point Shopify cannot provide and it is essential for calculating whether the reorder window is still open.
Strategic anchors
Your stated margin posture and commercial intent constrain every recommendation. A margin-protection retailer sees different markdown depth guidance than a volume-led retailer with identical sell-through data.