E-commerce Platform
A headless commerce storefront and unified order console for a direct-to-consumer brand selling across its own site and marketplaces.
- Duration
- 6 months
- Faster
- Mobile page load after storefront rebuild
- One queue
- For orders across all sales channels
- Stable
- Performance under load-tested peak traffic
The Challenge
The existing storefront loaded slowly on mobile, and orders from three marketplaces were downloaded as CSVs and processed manually. Sale events regularly caused outages.
Our Solution
We rebuilt the storefront as a server-rendered headless application and introduced a unified order management console that ingests orders from every channel into one queue with automated routing.
How the work was sequenced
Technologies
- 01
Performance audit and Core Web Vitals budget
- 02
Headless storefront rebuild with edge caching
- 03
Marketplace order ingestion and normalisation
- 04
Returns and exchange workflow
- 05
Load testing against projected sale-day traffic
Sample project: this case study is illustrative content created for this website build. It does not represent a real client, engagement or verified outcome.
How a build like this is put together
The reference architecture and delivery pipeline below are the shape we would apply to a project of this kind. Both are illustrative, like the rest of this sample case study.
- L1Clients
- Browser and mobile clients built from one design system and one typed API contract. (Web · Next.js, Mobile · React Native)
- L2Edge
- CDN, WAF and TLS termination. Static assets and cacheable reads never reach the origin. (CDN + WAF, TLS termination, Static cache)
- L3API gateway
- One entry point: OIDC authentication, per-tenant rate limits, request routing and audit logging. (Auth · OIDC, Rate limiting, Routing + audit)
- L4Services
- Independently deployable services communicating over HTTP and an event bus, each owning its data. (identity-svc, orders-svc, billing-svc, events-worker)
- L5Data layer
- Primary relational store with read replicas, a cache tier, object storage and an analytics warehouse. (PostgreSQL, Redis cache, Object store, Warehouse)
- 01commit
Status: passed · 0m 06s
Signed commit, conventional message, linked ticket.
- 02build
Status: passed · 2m 18s
Reproducible container image with an SBOM attached.
- 03test
Status: passed · 3m 44s
1,284 unit, contract, accessibility and security checks.
- 04stage
Status: passed · 1m 21s
Deployed to staging, smoke suite and migration dry-run.
- 05prod
Status: passed · 2m 12s
Canary at 10%, promoted on clean metrics, 24h rollback.
Sample pipeline run shown for demonstration. Stage names reflect how we structure delivery; the run, commit reference and durations are illustrative.
Have a Technology Challenge?
Let's discuss how technology can help your business grow.