Fashion ecommerce software for brands and marketplaces

Fashion ecommerce software has to do more than list products and take payment. Fashion brands and marketplaces hit the same wall at a certain point. The platform they started on handles simple product catalogues and basic checkout, but it can't model size runs accurately, can't personalise at scale, and can't support a rental or multi-vendor operation without a stack of conflicting apps.

  • Fashion e-commerce with size run management and personalisation

  • Multi-brand fashion marketplace with vendor onboarding and inventory

  • Inventory and production management from sample to delivery

  • Fashion rental platform with item tracking and cleaning logistics

The problem

Sound familiar?

  • Fashion brand selling on Shopify but unable to implement size-based personalisation, virtual try-on, or a loyalty programme that goes beyond discount codes without stitching together conflicting apps?

  • Fashion marketplace idea that needs multi-vendor inventory, size run management, and returns handling but has no way to model those in a generic marketplace platform?

Short answer

RaftLabs builds custom fashion ecommerce software for brands, multi-brand marketplaces, and rental platforms. We model size-run and variant inventory, multi-vendor marketplaces with split payments and returns, production tools from sample to delivery, and rental item tracking with cleaning logistics. A focused v1 launches in 10 to 14 weeks at a fixed cost, then grows from there.

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01 Diagnosis

Where fashion software usually breaks

  1. 01
    Problem

    We needed our Magento development agency for everything

    Solution

    One fashion brand's IT landscape was so heavily customised that it crashed regularly. The checkout often didn't work. Every time there was a sale or campaign, something went wrong. Conversion was plummeting. They needed their Magento development agency for everything, and people had to work weekends to keep the platform in the air. When a fashion brand runs both a wholesale channel and a D2C storefront from the same inventory pool, the conflict shows up fast. A D2C sale depletes stock that was already committed to a wholesale buyer. A wholesale order lands and the D2C site keeps selling against empty shelves. We build a single inventory layer that allocates stock per channel, reserves units against wholesale orders, and surfaces real available-to-promise figures to each storefront in real time. The outcome is stock that agrees with itself.

  2. 02
    Problem

    Our lives were completely dictated by it

    Solution

    One fashion founder described their old platform this way: their lives were completely dictated by it, they kept spending tons of energy on it, and the costs kept soaring. When their developer agency handed them a pricey estimate for the next release, they had no other choice than to replatform. Fashion businesses buy or produce for a season based on a plan, and when that plan is wrong, the cost is immediate. Overstock sits in the warehouse, markdowns erode margin, and the capital tied up in unsold units can't fund the next season's buy. A planning tool that connects live sales data, return rates, and warehouse levels to the buying workflow gives the merchandising team a defensible basis for seasonal decisions. The outcome is seasonal decisions on data, not gut feel.

  3. 03
    Problem

    Every one of those combinations needs its own count

    Solution

    A size 8 sells out online at 9 a.m. Nobody updates the count on the sales floor until the afternoon stock check, so a customer walks in at noon, asks for the same size, and the associate has to call the other register to check. The generic POS just wasn't built for a business where one shirt style comes in six sizes and four colors, and every one of those combinations needs its own count. In a multi-brand marketplace, a return needs to reach the right vendor, be restocked to the correct size bin, and trigger the right refund split. We build returns logic into the marketplace from the start, so a return arriving closes the loop and stock shows as available again. The outcome is inventory tracked at the combination level.

  4. 04
    Problem

    Creating line sheets is surprisingly painful

    Solution

    Creating line sheets is surprisingly painful for indie fashion brands. Manual line sheets are time-consuming and prone to typos, pricing errors, and order mix-ups, especially when the product line changes or pricing updates mid-season. Wholesale buyers still receive PDF lookbooks and place orders by email or phone. The visual presentation is separate from the order form, and the order form doesn't show real-time stock. A digital showroom that combines editorial product presentation with real-time stock visibility and inline ordering removes the gap between seeing and buying. The outcome is wholesale ordering without the PDF.

02 What we ship

Fashion software we build

  1. Fashion e-commerce platform

    Custom e-commerce platforms for fashion brands that need more than a Shopify theme can deliver. Product catalogues with full size run and colour variant management, real-time stock levels per size, and personalised size recommendations based on purchase history and measurements. Lookbook and editorial content with shoppable product links, loyalty programmes tied to purchases and returns, and a returns flow that triggers refunds and restocks automatically. The outcome is a storefront that reflects your actual inventory and customer data, not a set of conflicting apps bolted together.

  2. Fashion marketplace

    Multi-brand fashion marketplace software with vendor onboarding, per-vendor size run and inventory management, unified checkout with split payments and vendor payouts, and returns handling that respects each vendor's policy. Buyer-facing search and filtering by size, brand, style, price, and availability. Vendor dashboards with sales reporting, stock level management, and order tracking. The outcome is a curated fashion marketplace without modelling vendor and returns logic in a generic platform.

  3. Inventory and production management

    Inventory and production management tools for fashion businesses tracking product from sample through bulk production to delivery. Sample tracking with approval workflows, bulk production order management, quality check stages, and goods-in receiving with size-level stock allocation. Integration with supplier portals for purchase order management and delivery tracking. Warehouse management with barcode scanning and directed picking by size and style. The outcome is a season that doesn't run on spreadsheets.

  4. Fashion rental platform

    Rental platform software for fashion businesses with item-level tracking, availability calendar management, cleaning and maintenance logistics between rentals, and deposit and subscription billing. Each item tracked by condition, location, and cleaning status so the right items are available at the right time. Returns inspection flow with damage reporting and charge triggers. The outcome is bookings you can confirm reliably, without overbooking or idle items.

  5. Virtual try-on and personalisation tools

    Virtual try-on tools and personalisation features built into fashion e-commerce platforms. Size recommendation engines using customer measurements, past purchases, and brand-specific size charts. Style personalisation based on browsing and purchase history. Outfit suggestions using existing wardrobe data. Visual try-on using augmented reality for accessories and outerwear. These features connect to your existing product catalogue and customer data, so you don't need a separate third-party tool that sits outside your size run inventory. The outcome is fit data that actually exists.

  6. Wholesale and B2B ordering platform

    Wholesale ordering platforms for fashion brands selling to retail buyers and trade accounts. Buyer-specific price lists and minimum order quantities per style and size run. Seasonal lookbook ordering with visual product presentation and an order form built into the same flow. Order approval workflows, credit term management, and invoice payment options. Sales rep dashboards with account order history and outstanding balance visibility. The outcome is wholesale accounts that move off spreadsheets and PDF order forms.

03 Buy, build, or wait

The fashion software decision is usually about the platform: what it costs, what it breaks, and whether it will still be here in five years.

Stay on the platform

  • Shopify, Magento

    When the catalogue fits the variant limits and a couple of stable apps cover the gaps.

Build custom

  • When the platform dictates your life

    Costs keep soaring, the agency owns every change, people work weekends to keep it in the air.

  • When every combination needs its own count

    Six sizes, four colors, and a generic system that can't track the matrix. Build at the combination level.

  • When you migrated and nothing improved

    Lift-and-shift reproduces every flaw on a different platform. Fix the data model, not the logo.

Bottom line

Stay on the platform while it fits. Build when the platform owns your weekends, your costs, or your inventory truth.

04 How we work

How we build fashion software

  1. 01

    Model the catalogue

    We map your product model, size runs, variant matrix, sales channels, inventory sources, and the vendor or production relationships the platform has to hold. For marketplace builds, we document vendor onboarding, payout, and returns from the start. You get a fixed-price specification before development begins. The risk this retires: the size run the data model can't express.
  2. 02

    Architect the data model

    We design around your actual catalogue: SKU-level variant tracking, size matrix, stock allocation by location, and the relationships between products, vendors, and customers. For rental platforms, we model each item's lifecycle from creation through rental cycles, cleaning, and retirement. The risk this retires: the rental item that can't be tracked.
  3. 03

    Build in sprints

    Development runs in two-week sprints. Catalogue, inventory, checkout, and vendor or production modules are built in parallel where dependencies allow. Size recommendation and personalisation sit on top of the inventory data model, not as bolt-on integrations. The risk this retires: the personalisation built on phantom inventory.
  4. 04

    Launch and trade

    Go-live is timed to avoid peak trading periods where possible. We onboard your trading, merchandising, and operations teams, then tune the v1 against real-world trading, with handover to your team or an ongoing support arrangement. The risk this retires: the launch timed into your peak season.

05 Track record

What you get working with RaftLabs

Weeks to a validated v1, then grow from there
10-14
Cost, agreed before we build
Fixed
Shipping production fashion and retail software
Since 2015

08 Why us

Why choose us?

  • 01

    We've seen your problem before

    Across dozens of industries, we recognise your situation fast, then frame the fix around your margin and your operations, not a generic template.
  • 02

    We own the number, not the ticket

    We measure success the way you do: hours saved, revenue earned, margin recovered. We stay through launch and growth, so the result is ours to own.
  • 03

    Serious businesses trust us

    Vodafone, T-Mobile, Cisco, Energia, Aldi, Nike. Building since 2015. Serious businesses keep coming back because we stay accountable long after launch.

09 Questions

Common questions

Shopify works well for fashion brands with a straightforward catalogue and standard checkout requirements. Custom software becomes the right choice when the platform's constraints are creating real operational problems. Common triggers: size run inventory that Shopify's variant limits can't model accurately. Personalisation or loyalty requirements that need a stack of apps that conflict with each other. A wholesale channel that needs customer-specific pricing and ordering rules. Or a rental or subscription model that Shopify's checkout can't support cleanly. If a Shopify configuration would solve the problem, we'll say so. Custom development carries ongoing maintenance cost that a platform absorbs for you. But when the platform is the constraint rather than the solution, a custom build pays for itself.

Size run complexity is one of the main reasons fashion businesses outgrow generic platforms. We model size runs at the SKU level, with stock tracked per size per warehouse location. A sold-out size is marked as out of stock immediately when the last unit sells, without waiting for a manual inventory update. Variant combinations (size, colour, length, fit) are modelled as a matrix so buyers see exactly what's available in their size before selecting colour. Size recommendation logic is built on top of this: the system matches a customer's stated measurements or purchase history against the brand's size chart and returns a recommendation with a confidence level. This prevents the size recommendation from suggesting a size that's already sold out.

The decision depends on ownership of the inventory and the commercial relationship with brands. A DTC platform makes sense when you own the stock and control the fulfilment: you're a retailer buying wholesale and selling on your own platform. A marketplace makes sense when brands manage their own inventory and fulfilment and you earn a commission or fee on sales made through your platform. The operational difference is significant: a marketplace requires per-vendor inventory management, split payments, per-vendor returns handling, and vendor accountability tools. A DTC platform is simpler to operate but requires capital tied up in stock. Some businesses start as DTC and move to a marketplace model as they scale. We build for both and can help you think through which model fits your current operation.

Start with the problem that's costing you the most right now. For most fashion brands, that's either inventory accuracy (sizes showing as available when they're sold out, or sold out when stock is sitting in the warehouse) or the returns process, which is slow, manual, and disconnected from the buying flow. An inventory management tool or a returns management integration with automated restock and refund logic is a focused build with a clear return on investment. Once that's running, you have accurate data to build personalisation and loyalty on top of. Trying to build everything at once usually results in a project that's too large to scope accurately and too complex to deliver in a manageable timeline.

A focused v1 launches in 10 to 14 weeks at a fixed cost agreed before work starts, then grows from there. We scope a smaller first phase honestly rather than quoting the full platform up front.

That fear is common and honest. Adoption is where most of these projects actually die. Merchandising teams who never wanted to be developers need a system that works like the business: size runs managed visually, inventory counts that update themselves, line sheets generated from the catalogue instead of built by hand. The system ships when your team can run a full trading day on it without help.

Get a build-vs-Shopify plan for your fashion brand

Tell us your platform, your business model, and where the current setup breaks down. We'll scope what to build and give you a fixed cost.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.

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