Direct-to-Consumer Fashion Brand
Custom e-commerce platform with unified inventory across 3 warehouses.
All case studiesA direct-to-consumer fashion brand generating INR 80 crore in annual revenue engaged Cydez Technologies to build a custom e-commerce platform. The brand sold through its website, Instagram Shopping, and two marketplace channels (Myntra and Ajio) — but inventory was managed independently for each channel using spreadsheets, resulting in frequent overselling, delayed fulfilment, and a return rate of 32%.
The existing Shopify storefront could not support the brand's requirements for highly customised product detail pages with fabric zoom, video lookbooks, and an AI-powered size recommendation engine. The brand also needed regional pricing capability for different Indian states and a unified inventory engine syncing stock across three warehouses in Mumbai, Bengaluru, and Delhi.
Cydez built a headless e-commerce platform with a Next.js/React storefront optimised for mobile-first Indian shoppers, a Node.js order management backend, and a centralised inventory engine providing real-time stock synchronisation across all three warehouses and all sales channels. Razorpay was integrated for payments supporting UPI, credit/debit cards, and no-cost EMI. An AI-powered size recommendation engine trained on return data reduced the return rate from 32% to 21%. A Flutter mobile app was launched alongside the web storefront, driving 45% of total revenue within 6 months.
- Custom headless e-commerce platform
- Unified inventory across 3 warehouses and 4 channels
- AI-powered size recommendation engine
- Flutter mobile app with full shopping capability
- Razorpay payment integration with UPI and EMI
- Regional pricing and multi-state GST handling
A fast-growing D2C fashion brand selling through its website, Instagram, and two marketplace channels had no unified inventory view. Stock was managed independently across three warehouses using spreadsheets, resulting in frequent overselling, delayed fulfilment, and customer complaints. The existing Shopify storefront could not support the brand's requirement for highly customised product pages, size recommendation, and regional pricing.
Cydez built a custom headless e-commerce platform with a React storefront, Node.js order management backend, and a centralised inventory engine syncing stock across all three warehouses in real time. Razorpay was integrated for payments with UPI, cards, and EMI options. An AI-powered size recommendation engine reduced return rates, and a Flutter mobile app extended the brand to mobile-first shoppers.
How we delivered this project
Discovery
Analysed 18 months of sales, return, and inventory data. Mapped overselling patterns and return reasons. Benchmarked competitor mobile experiences. Documented warehouse fulfillment workflows and marketplace integration requirements.
Design
Designed the headless architecture with Next.js storefront and Node.js backend. Created the unified inventory engine data model. Designed the size recommendation ML model using return reason data. Prototyped the Flutter app UX with 3 rounds of user testing.
Development
Built the Next.js storefront with product detail pages featuring fabric zoom, video lookbooks, and size recommendation. Developed the inventory sync engine connecting 3 warehouses and 4 channels. Integrated Razorpay with UPI, cards, and EMI. Built the Flutter mobile app with push notification-driven engagement.
Launch
Migrated from Shopify with 301 redirects preserving SEO equity. Launched web and mobile simultaneously. Onboarded warehouse teams on the new OMS. Monitored inventory sync accuracy for 30 days with daily reconciliation. Achieved zero overselling within the first week.
What we built
Unified Inventory Engine
Real-time stock synchronisation across 3 warehouses and 4 sales channels. Automated allocation rules prioritise channels by margin. Safety stock and reorder alerts at SKU-warehouse level.
AI Size Recommendation
ML model trained on return reason data predicting optimal size based on body measurements, purchase history, and garment-specific fit data. Reduced return rate from 32% to 21%.
Mobile-First Storefront
Next.js storefront with sub-2-second load times on 4G connections. Fabric zoom, video lookbooks, and Instagram-style product discovery. PWA capability for repeat visitors.
Flutter Shopping App
Full-featured shopping app with personalised home feed, wishlist sync, push notification campaigns, and deep-link support for social media marketing.
Razorpay Payments
Full payment suite including UPI, credit/debit cards, net banking, wallets, and no-cost EMI. Automated refund processing for returns with real-time status updates.
Personalised Upselling
AI-driven product recommendations on product pages, cart, and post-purchase. Style-based outfit suggestions increasing average order value by 28%.
Measurable outcomes
- 35% reduction in return rate via AI size recommendation
- Zero overselling incidents after go-live (from 40+/month)
- 28% increase in average order value through personalised upselling
- Mobile app drove 45% of total revenue within 6 months
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