Hire E-Commerce Developer for Fashion Brands
Senior, direct, no layers
Hire E-Commerce Developer for Fashion Brands: the commerce engine joining direct, wholesale, and marketplace sales on one set of product data.
A store that handles sizes, drops, and returns as the main job
Fashion stores do not fail on imagery; they fail on size, stock, and returns. A customer who cannot tell whether a size runs small, cannot find their size in stock, or cannot exchange without emailing support will buy from a brand whose store answers those questions. The fashion store's real job is fit confidence, drop timing, and a returns path that keeps the customer.
The catalogue is seasonal and size-driven: collections, drops, pre-orders, size curves by product, and lookbook shopping where a full outfit is bought piece by piece. Product pages need fabric and fit notes, size guidance from real garment measurements, and honest stock per size, because a size guide copied from a supplier does not prevent returns.
Platform choice follows drop and returns patterns: a brand running limited drops needs queue and pre-order handling, while a brand with constant replenishment needs size-level stock truth. This engagement compares platforms on those needs and handles migration, unlike Shopify-only work, where the platform is assumed and fashion features are taken as given.
If size questions and returns are eating your margin, talk through your collections and size data first and we will map a store that answers fit before purchase.
What the fashion store covers
- Size guidance from real measurements — Size pages use garment measurements and fit notes per product, with model reference details where useful, so a customer chooses a size with evidence, not hope.
- Drops and pre-orders handled cleanly — Limited drops carry release times, queue or waitlist handling, and pre-order dates, so a drop sells out fairly and pre-order buyers know when to expect delivery.
- Lookbook shopping by piece — Outfit and lookbook pages let a customer buy individual pieces or the full look, with each piece linked to its own size and stock, so inspiration converts without a support email.
- Returns and exchanges in the account — Returns and size exchanges are handled through the customer account with rules per collection, so a wrong size becomes an exchange, not a lost customer.
- Wholesale and retail separation — Wholesale buyers see a separate storefront or account pricing after sign-in, while retail customers see standard pricing, on the same product data.
- Migration that keeps size and customer data — Moving platforms carries customer accounts, size preferences where recorded, and order history across, with redirects for collection pages that already rank.
Connected to stock, merchandising, and returns
Fashion store work connects to inventory, warehouse, returns, and marketing tools, plus payment providers. Where the brand already runs a merchandising system, a warehouse record, or a returns handler, size-level stock and order data is connected to it rather than duplicated, because a size shown as in stock online and missing in the warehouse is a cancelled order and a lost customer.
Running costs are documented in full, including payment fees and any charges for search, returns handling, or drop and pre-order features, so the brand sees the true monthly cost against the returns and support time the store saves.
How a fashion store gets built
- Audit sizes, drops, and returns
Collections, size data, drop history, and return reasons are audited against real orders, including the sizes and products that return most, so the rebuild fixes fit and stock first.
- Choose the platform from drop and returns needs
Platforms are compared on size-level stock, drops, pre-orders, and returns handling, and the choice is made with running costs visible.
- Build fit, drop, and exchange paths first
Size guidance, drop handling, and returns exchanges are built and tested with real orders, including sold-out sizes and exchanged items, before launch.
- Launch with a collection, then widen
A single collection launches first, fit and returns data are watched against real orders, and the full catalogue follows once the paths are clean.
Why this approach fits fashion brands
- Fit is treated as conversion: Size guidance and fit notes get the most effort, because fit confidence is what fashion stores actually sell.
- Drops are planned, not improvised: Release, waitlist, and pre-order handling are built before the drop, not patched during it.
- Returns become exchanges: A self-serve exchange path keeps customers who would otherwise leave after one wrong size.
- Platform advice stays neutral: The platform follows drop, size, and returns needs, and the recommendation may be to repair rather than migrate.
- Customer history survives migration: Accounts, preferences, and order history are carried over, so repeat customers are not reset to strangers.
Questions, answered
Can the store show stock per size, not just per product?
How is this different from a Shopify developer?
Can we run limited drops and pre-orders?
Will wholesale buyers see different pricing?
What do you need from us to start?
Ready to get started?
The best way to explore working together is a quick conversation. Reach out through your preferred channel and let us discuss your project.
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