Commerce, B2B and data, built and run from the inside
Two client engagements, unnamed at their request, and one product we own and operate ourselves.
Since 2020, inside one commerce platform
A mid-market direct-to-consumer brand. We started on feature development and now hold performance, integrations, infrastructure and architecture.
- Feature development across the storefront and back end
- Checkout and payment flows
- Performance work, from page weight to database access
- Load testing ahead of peak trading
- Third-party integrations: ERP, loyalty, payment gateways
- Search and merchandising
- Infrastructure, deploys and SRE response
- Data pipelines and internal tooling
- Architecture decisions, code review and hiring loops
Client engagements are not named, and neither are their vendors. Revenue figures stay private. Scale is described through the numbers we are free to publish.
Black Friday peaks at 70k. We led the load testing programme that proved the platform at four times that.
More than ten million people have shopped this brand. Every one of them meets a storefront, a checkout and a stack of internal tooling we can triage end to end.
Revenue tripled over the engagement. We built for the teams behind it — merchandising, accounting, fulfillment, fraud and BI among them.
Six consecutive Black Fridays. Each one prepared months ahead through load and performance testing, then hardware and configuration tuning, so the biggest day of the year is a quiet one.
A dealer platform for a niche market
Wholesale ordering for a network of dozens of dealers. We built it end to end and wrote the procedures the merchandising team runs it by.
- The complete build, from storefront to back office
- Infrastructure, provisioned and run as code
- ERP integrations for pricing, inventory and orders
- Merchandising operating procedures, written and supported
Consumer products, compared across retailers
An affiliate site we own outright. Product data from multiple retailers is aggregated, curated by AI and kept current, so the catalogue scales without the operations team scaling with it.
The next engagement, chosen carefully
We have capacity alongside current work. Everything that comes in gets a response; what fits gets chosen.