INDUSTRIES
Storefronts judged on conversion, and the inventory, ordering, and fulfillment systems that decide whether the order actually arrives — built by a team that lifted one client's online sales 150%.
We replatformed an enterprise store onto headless architecture and online sales rose 150%. It then handled Black Friday without a stumble. Commerce teaches you that the storefront is the easy half — the expensive failures happen in inventory, pricing, and the order pipeline behind it.
Four kinds of commerce build, from a storefront rebuild to the systems nobody sees.
Headless storefronts where the front end and commerce engine scale independently, built with Next.js and React. You can redesign the storefront without touching checkout logic, and ship to web, app, and kiosk from one engine.
Inventory and order management that stays accurate across channels and warehouses. The hard part isn't tracking stock — it's staying correct when two channels sell the last unit within the same second.
B2B commerce with contract pricing, customer-specific catalogs, approval flows, and purchase order workflows. These are data model decisions, not plugins.
Marketplace platforms handling multi-vendor listings, split payouts, and dispute resolution — where you're running the infrastructure other people sell on.
E-commerce software development is the building of systems that sell, track, and fulfill — the storefront customers see, plus the inventory, pricing, order, and fulfillment systems behind it. The distinction that matters is scale of consequence: a storefront failure costs you one sale, while an inventory or order failure costs you trust and a support queue.
Speed converts to revenue more directly in commerce than in any other sector. Google folds real-user performance data into ranking, and shoppers abandon slow pages before they evaluate anything on them.
Headless architecture separates the storefront from the commerce engine, so the front end can be optimized without waiting on the platform. The front-end performance work — budgets enforced in the build pipeline rather than checked after launch — is where the measurable gains come from.
Traffic isn't evenly distributed. A store that handles a normal Tuesday comfortably can fail on Black Friday, because peak exposes every assumption — cache invalidation, inventory locking, payment retries, and the third-party service that rate limits you at exactly the wrong moment.
We load test against your actual expected peak weeks before the season, not after. The infrastructure and scaling work is part of the build rather than a separate emergency in November.
Payment processors, tax engines, ERP and accounting systems, warehouse management, shipping carriers, PIM, marketplaces, and the email and analytics stack your marketing team already runs.
Integration count drives the timeline more than storefront features do. A store with three integrations and one with fifteen are different projects regardless of how similar the catalogs look.
Which is why discovery is fixed-price and happens before any estimate.
Next.js and TypeScript at the front, Node.js behind PostgreSQL, with Elasticsearch for search and AWS underneath. Headless commerce engines where the catalog and checkout logic justify one.
Discovery is fixed-price and produces a costed estimate. Three things move the number more than page count:
Catalog complexity. Variants, bundles, configurable products, and multi-currency pricing each add data model work.
Integration count. Each ERP, carrier, tax engine, or marketplace connection adds real time.
B2B requirements. Contract pricing, approval flows, and customer-specific catalogs are a different build to standard retail checkout.
We don't quote from a price list. You get a costed timeline in writing after discovery.
Projects we have delivered in this and neighbouring domains.
A HIPAA-ready platform that pulled telemedicine, scheduling, and billing into one system for a multi-clinic network.
A high-availability payment gateway that has processed over $500M in transactions at 99.99% reliability.
How we work
Transparent and collaborative from the first discovery call through to launch and beyond.
01
We map the catalog, the order pipeline, and what your actual peak looks like.
02
Architecture, integrations, and performance budgets agreed before the first component.
03
Checkout and product flows prototyped, then tested on real devices and connections.
04
Two-week sprints with load testing before, not after, your first peak season.
What clients in e-commerce & retail ask us most often.
Still have questions?
Talk to an engineerHeadless separates the storefront from the commerce engine, so you can rebuild the front end without touching checkout logic. It's worth it when you need custom front-end experiences, multiple sales channels, or performance a template theme can't reach. It isn't worth it for a small catalog on a standard checkout flow.
Load testing against your actual expected peak, not your average. Caching strategy, inventory locking, and payment retry behavior get tested under that load weeks before the season, because the failures only appear at volume.
Yes. B2B commerce needs contract pricing, customer-specific catalogs, approval workflows, and purchase orders. Those are data model decisions, not plugins, and they're much cheaper designed in than retrofitted.
Usually. We run the new storefront alongside the old one, move traffic in stages, and keep the original live until the replacement has proven itself on real orders.
Discovery is fixed-price and produces a costed estimate. Catalog complexity, integration count, and whether you need B2B pricing rules move the number more than the number of pages does.
You do. Source code, infrastructure definitions, and design files live in your repositories and cloud accounts from the first sprint.
Get an e-commerce architecture review from our team.