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vendor
For apparel & fashion

Built for apparel operations.

Variant trees, size runs, season cycles, returns at scale. Vendor handles the parts of apparel commerce most platforms abstract away.

Talk to a Vendor expert who has onboarded operations like yours.

Talk to apparel team
The problem

What apparel teams hit at scale.

[Placeholder] Apparel is the highest-SKU, highest-return-rate corner of commerce. A single style can spawn 200+ variants. Returns regularly exceed 30%. Reordering, markdown timing, and size-curve discipline determine whether a season is profitable. Most platforms model apparel as "just another product" — leaving operators to patch the gaps in spreadsheets and middleware.

  • Variant trees that explode beyond what off-the-shelf admins handle
  • Returns processing that takes longer than fulfillment
  • Season-end markdown timing that's mostly gut feel
  • Inventory that's wrong on the storefront, right in the warehouse
  • Reorder decisions blocked by lag in sell-through data
Capabilities

What Vendor does for apparel teams.

The features that show up in every apparel onboarding we run.

True variant trees

Style → color → size hierarchy with shared media, attributes, and per-variant inventory. Bulk operations across thousands of variants at once.

Size-curve templates

Define size-curve templates by category. The platform allocates inventory across stores using your curves, not flat percentages.

Returns-first checkout

Built-in returns portal with pre-paid labels, exchange flows, and a fraud-scoring step. Average return resolution under 5 minutes.

Markdown engine

Rule-based markdown scheduling — by sell-through, weeks-on-shelf, or full-price velocity. Approvals routed by category.

Realtime inventory

Storefront, admin, and POS all read the same inventory truth. Negative inventory blocked at write time.

Sell-through dashboards

Per-style, per-week sell-through with size-curve drift detection. Reorder recommendations triggered by configurable thresholds.

Proof

What apparel customers see.

Returns processing time

−68%

Median, post-migration

Sell-through visibility lag

< 4h

Down from 5+ days

SKU manage time

−42%

Per merchandiser

Avg. onboarding

9 weeks

From kickoff to live

Frequently asked

Apparel team questions.

Can Vendor handle very large variant counts?

[Placeholder] Yes. We've onboarded apparel customers with 50K+ active variants. Bulk operations, media inheritance, and per-variant inventory all work at that scale.

Do you integrate with our PIM / 3PL?

[Placeholder] We have native integrations for the major apparel PIMs and 3PLs (Akeneo, Plytix, Skubana, ShipBob). For anything else, the typed SDK lets you ship an integration in a sprint.

What does a typical apparel onboarding look like?

[Placeholder] 8–12 weeks. Weeks 1–3: data model + variants. Weeks 4–6: storefront + checkout. Weeks 7–9: returns + warehouse integration. Weeks 10–12: dry runs + cutover.

How do you handle seasonal traffic spikes?

[Placeholder] The platform auto-scales horizontally. We pre-warm capacity ahead of customer-declared promo windows. We've handled customer Black Friday spikes of 40× baseline without manual intervention.

Talk to apparel team