Retail & E-commerce
Headless Commerce & Storefront Platform
Fast storefronts on a composable core
Illustrative solution blueprint — a representative build demonstrating our engineering approach, not a client engagement.
Overview
This blueprint describes a headless commerce build: a Next.js storefront on top of composable services for catalog, cart, checkout, and promotions. It suits retailers who have outgrown template storefronts and need direct control over performance, merchandising, and integrations.
The storefront is engineered for Core Web Vitals from day one — server components, edge caching, and image discipline — because in retail, speed is a merchandising feature. Search is treated as a first-class service with its own index, not a database afterthought.
The problem space
The Challenge
Retailers hit a ceiling with monolithic commerce suites: every storefront change fights the platform, peak-sale traffic strains a system sized for average days, and product search lags the catalog it is supposed to serve. Meanwhile the same catalog needs to feed web, mobile, and marketplaces without three copies of the truth. The problem is architectural — where the catalog lives, how fast it reaches the shopper, and how safely checkout runs under load.
How we'd tackle it
Our Approach
We would separate the read path from the write path. Catalog and pricing changes flow through a publishing pipeline into a denormalized, cache-friendly read model and a dedicated search index, so browsing scales independently of back-office activity. Checkout is its own hardened service with idempotent order creation, and the storefront renders through Next.js with edge caching so most page views never touch origin.
Under the hood
Architecture
- 1
Next.js storefront with server components and edge-cached product pages
- 2
GraphQL commerce API aggregating catalog, pricing, inventory, and cart services
- 3
Node.js services for cart, checkout, and promotions with idempotent order writes
- 4
Dedicated search index with typo tolerance, facets, and merchandising rules
- 5
PostgreSQL catalog system of record publishing to a denormalized read model
- 6
Redis for cart state, sessions, and hot-path caching
- 7
Event stream feeding inventory, analytics, and marketplace syndication
Capability surface
Key Features
The functional scope this blueprint covers end to end.
Faceted product search with autocomplete and typo tolerance
Merchandisable landing pages editable without deployments
Cart and checkout with guest flow and payment gateway integrations
Promotions engine supporting coupons, bundles, and tiered discounts
Inventory-aware product pages with low-stock and backorder states
Order tracking and self-service returns initiation
Server-rendered pages with SEO-structured product data
Multi-currency pricing and tax-rule support
Engineering goals
What This Blueprint Optimizes For
Design goals we engineer toward — stated as targets, not claimed results.
Sub-second search responses across catalogs of 100k+ SKUs
Core Web Vitals in the green on mid-range mobile devices
Checkout availability protected during sale-event traffic spikes
Catalog updates visible on the storefront within a minute of publishing
No overselling: inventory reservations stay consistent under concurrency
Roadmap thinking
Where We'd Take It Next
Personalized recommendations driven by browsing and purchase signals
Native mobile app reusing the same commerce APIs
AI-assisted product discovery and natural-language search
B2B price lists and quote-based ordering
Tech Stack
The technologies this blueprint is designed around.
- Next.js
- React
- TypeScript
- Node.js
- GraphQL
- PostgreSQL
- Redis
- AWS
- Cypress
Related Services
Curious What This Would Look Like for You?
We'll map your requirements against a blueprint like this — architecture, stack, and roadmap — before you commit to anything.