E-commerce
Replatforming a storefront without losing a peak season
Placeholder case study. A headless storefront migrated page type by page type, with checkout instrumented before anything was redesigned.
- Next.js
- TypeScript
- Shopify Hydrogen
- Algolia
- Cloudflare
- Stripe
- PostgreSQL
Sample case study — illustrative, not a delivered client engagement
Verdance Supply Co. is an invented company used to demonstrate our case-study format and our approach to this kind of work. The technical detail reflects how we would genuinely deliver it; the client name is fictional and the figures under Results are design targets rather than measured outcomes.
Client
Verdance Supply Co.
Illustrative direct-to-consumer retailer — PLACEHOLDER CONTENT
- Industry
- E-commerce
- Services
- Web & MobileCloud, Data & DevOps
- Year
- 2026
The business challenge
PLACEHOLDER — replace with the real engagement narrative. The illustrative situation: a themed storefront had accumulated years of app installs and custom Liquid, mobile performance had degraded to the point of costing revenue, and nobody could say which checkout step was losing customers. The replatform had to finish before the seasonal peak, and could not risk it.
Objectives
- PLACEHOLDER — Establish where the checkout funnel actually loses customers
- PLACEHOLDER — Bring mobile performance within Core Web Vitals thresholds
- PLACEHOLDER — Decouple content changes from code releases
- PLACEHOLDER — Migrate without a cutover during the seasonal peak
- PLACEHOLDER — Keep search and merchandising under the merchandising team’s control
Discovery and strategy
What we did before writing code
- PLACEHOLDER — Instrumented the existing funnel before proposing any change
- PLACEHOLDER — Measured field performance by device class rather than in a lab
- PLACEHOLDER — Catalogued every installed app and what actually depended on it
- PLACEHOLDER — Reviewed a full year of support tickets for recurring friction
- PLACEHOLDER — Agreed a page-type migration order by traffic and risk
Solution
What we built
PLACEHOLDER — Headless storefront
Replace with real detail. Server-rendered product and collection pages at the edge, with the commerce backend unchanged.
PLACEHOLDER — Progressive migration
Replace with real detail. Traffic moved page type by page type behind edge routing, with instant rollback per route.
PLACEHOLDER — Checkout instrumentation
Replace with real detail. Step-level funnel analytics added first, so every later change could be measured rather than assumed.
PLACEHOLDER — Search and merchandising
Replace with real detail. Faceted search with merchandising rules the team can change without a release.
PLACEHOLDER — Performance budgets
Replace with real detail. Budgets enforced in CI so a regression fails the build instead of reaching customers.
PLACEHOLDER — Operational integration
Replace with real detail. Inventory and fulfilment synchronisation with reconciliation and alerting on drift.
Architecture
How it fits together
PLACEHOLDER — Headless commerce architecture
Replace with the real architecture. The illustrative shape: an edge-rendered storefront over an unchanged commerce backend, with routing as the migration control point.
- Edge storefrontServer-rendered pages with edge caching
- Routing layerPer-page-type traffic control and rollback
- Commerce backendCatalogue, cart, orders — unchanged
- SearchFaceted search and merchandising rules
- ContentEditable without a code release
- AnalyticsStep-level checkout funnel telemetry
Design approach
Decisions in the interface
- PLACEHOLDER — Rebuilt product pages around the questions support tickets kept asking
- PLACEHOLDER — Reduced checkout to the fields genuinely required
- PLACEHOLDER — Held the visual language steady during migration to avoid relearning
- PLACEHOLDER — Designed for mid-range Android first, not for a developer laptop
Development process
How the work ran
- PLACEHOLDER — Page types migrated in traffic order, lowest risk first
- PLACEHOLDER — Load testing against projected peak volume before the season
- PLACEHOLDER — Feature-flagged checkout changes measured one at a time
- PLACEHOLDER — Full migration completed and frozen ahead of the peak window
Technology stack
What it runs on
- Next.js
- TypeScript
- Shopify Hydrogen
- Algolia
- Cloudflare
- Stripe
- PostgreSQL
Challenges resolved
What went wrong, and what we did
Every project has these. A case study that omits them is a brochure.
PLACEHOLDER — Undocumented app dependencies
Replace with real detail. Several installed apps injected script the storefront silently depended on; each was traced and either replaced or removed deliberately.
PLACEHOLDER — Performance regressions crept back
Replace with real detail. Budgets enforced in CI turned a recurring problem into a build failure the author sees immediately.
PLACEHOLDER — Peak-season risk
Replace with real detail. Per-route traffic shifting meant no single cutover moment, and a change freeze protected the peak window.
Results
Objectives and design targets
Because this is a sample case study, these are the objectives and design targets agreed in scope — not measured business results.
PLACEHOLDER — Checkout drop-off
Target only
Placeholder. Replace with a measured, verifiable outcome or remove.
PLACEHOLDER — Mobile LCP
Under 2.5s target
Placeholder performance budget, enforced in CI.
PLACEHOLDER — Migration
No cutover event
Placeholder. Approach agreed during discovery.
Client feedback
In their words
Placeholder quote
This quote is sample content shown to demonstrate the layout. It is not attributable to a real person or organisation and will be replaced only with a genuine, approved testimonial.
“PLACEHOLDER — replace with a real, approved client quote. This text exists only to demonstrate the layout.”
Placeholder namePlaceholder role (illustrative)
Related services
The practices behind this work
Web & Mobile
Web applications, mobile apps, commerce experiences and product design — built for performance, accessibility and conversion.
Explore Web & MobileCloud, Data & DevOps
Cloud architecture, delivery pipelines, data platforms and observability — engineered for reliability, cost control and safe, frequent releases.
Explore Cloud, Data & DevOps
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