Why fashion is engineering-different

Software for fashion brands isn’t generic ecommerce with a different theme. The vertical has its own pressure points — SKU explosion across colour and size variants, seasonal launch peaks that 10× normal traffic for a week, returns-heavy logistics, multi-currency global fulfilment, the editorial-merchandising tension between lookbook storytelling and conversion optimisation, and the marketplace connectors that keep inventory honest across Shopify, Amazon, Zalando, FARFETCH, and your own DTC store. We’ve built and scaled all of those layers for fashion clients across India, the UK and the US since 2008.

What we build for fashion brands

• High-velocity catalog systems that handle the SKU expansion gracefully — a single product with 4 colourways and 8 sizes is 32 SKUs, and your inventory layer needs to model that without melting.
• Shopify Plus and headless storefronts with editorial-grade lookbook CMS, variant-aware PDPs, predictive size guides, and the conversion-optimised checkout that fashion shoppers expect.
• ERP and OMS integrations connecting Shopify or your custom platform to NetSuite, Microsoft Dynamics, Brightpearl, or Odoo — inventory, orders, fulfilment, returns, and accounting in one source of truth.
• Marketplace connectors for Amazon, Myntra, Nykaa Fashion, Zalando, FARFETCH and similar — bidirectional listing sync, real-time inventory propagation, and per-channel pricing rules.
• 3PL and last-mile fulfilment integration for warehouses (Shiprocket, ShipBob, Easyship) and white-glove returns workflows — fashion returns rates are 25-40%, and the cost of getting that workflow wrong is real.
• Pre-launch infrastructure — queueing systems, drop-style ticketing, abandon-cart automation tuned for seasonal demand spikes that look like flash sales.

Patterns we know cold

Multi-currency and multi-region: shipping the right SKU at the right tax-inclusive price to a customer in Mumbai, London, and New York from a single warehouse stack — including landed-cost calculation, customs documentation, and currency conversion that doesn’t lose a sale on FX.

Size and fit: integrating True Fit, Fit Analytics, or building a lightweight in-house size-recommendation system that uses purchase history, returns reasons, and customer measurements to reduce returns by 10-20% in the first quarter.

Visual merchandising: editorial lookbook CMS, model gallery management, video-first PDPs, lifestyle imagery automation across colourways, and shoppable Instagram integration that holds up at launch traffic.

Brands and projects we’ve shipped for

Mapei (B2B specifier-led retail), Nirma (FMCG with retail commerce), and 30+ fashion-leaning DTC and marketplace builds across India, UK, and US markets. Case studies on the work page.

How we engage with fashion brands

We typically start with a 2-week paid discovery to map your current stack, identify the integration breakpoints, and propose a phased rollout that protects the next launch window. From there, most fashion engagements run as a Delivery Pod with a fixed-price first phase (replatform, MVP integration, or specific module) followed by a retainer for ongoing iteration. Brands with an existing engineering team often use us as Team Extension to fill specific gaps (Shopify Plus depth, ERP integration, mobile app).