Apparel & Fashion
Commerce built for sizing, drops, and returns reality.
Apparel commerce breaks generic platforms — variant trees, return rates, seasonal surges, fit accuracy. We engineer the parts most agencies wave at.
Where apparel breaks generic commerce
Five things every fashion brand fights
Sizing + fit accuracy
Returns from wrong sizes destroy margin. We engineer size-matching, fit predictors, and brand-specific size charts that learn from returns.
Deep variant trees
30 sizes × 8 colors × 3 fits = 720 variants per SKU. Most platforms choke. We build the index + facet + checkout layers to handle catalog this dense.
Seasonal SKU surges
Drop weeks where catalog 4×. Search relevance, recommendations, and merchandising rules need to adapt — not break.
Returns + reverse logistics
Apparel return rates 25–40%. We engineer reverse-logistics integration, refund speed, and restock workflows that make returns less painful than refunds.
Lookbook + editorial merchandising
Fashion sells the look, not the SKU. Editorial CMS + shop-the-look + cross-sell engineered for the way fashion buyers actually browse.
Where we built
D2C fashion storefront rebuild.
Performance + conversionheadless storefront, replatform, and merchandising depth for a D2C fashion brand. Headless storefront on Hydrogen, returns + reverse-logistics wired into a custom OMS.
Read the case studyThe apparel stack
Platforms, search, returns, and the backbone behind them.
How an engagement starts
Three steps to a partnership
Intake call
30 minutes. We listen, you talk. No deck.
Diagnostic
We audit the surface, name the bottleneck, propose a path.
Kickoff
Senior engineer in your standup by week two.