Retail,
engineered for margin.
Commerce, store operations, unified customer data, supply chain and AI-native trading, engineered against the metrics retailers are actually measured on, not against a category slide.
The territory, in four numbers we actually track.
We work with retailers who trade weekly, not who relaunch every three years. These are the numbers we hold ourselves to.
- $5.7T
- Global market
- 34%
- Omni share
- 6–10
- Weeks
- Weekly
- Trading cadence
Retail sales worldwide, 2026
Orders that touch more than one channel
To first release on a build engagement
Real releases into peak
The retail formats we build for.
Retail is not one industry. It is six operating models sharing a category label. We build against the one you actually run, with the metrics and constraints that shape it.
Direct-to-consumer
Brand-owned commerce, subscription and lifecycle, engineered for LTV, not just first order.
Brick-and-mortar
Store technology, mobile associate tools, clienteling and unified inventory across estate and site.
Marketplaces
Multi-seller platforms with catalogue governance, seller onboarding, payouts and trust engineered in.
Wholesale & B2B
Buyer portals, price lists, contract commerce, credit, for the retailer whose customer is a business.
Grocery & food
High-frequency operations, fulfilment complexity, fresh SLAs, promotions and loyalty engineered honestly.
Luxury & speciality
Editorial commerce, appointment booking, provenance, clienteling and made-to-order flows.
Services we deliver into retail.
Every retail engagement blends practices, commerce, data, cloud, AI and integration. These are the services we most commonly deploy into retail estates, each linked to its dedicated practice page.
The estate we engineer, end to end.
Store, digital, supply and customer are not four estates, they are one, engineered together. This is what a modern retail platform looks like when it's built to compound.
- 01Commerce & storefront
- Composable commerce on commercetools, Shopify or BigCommerce with Next.js storefronts, honest Core Web Vitals and personalisation that earns its cost.
- 02Store & clienteling
- Modern POS, mobile associate tools, ship-from-store and BOPIS, extensions of the same spine, not isolated apps.
- 03Unified customer & CDP
- One customer view across surfaces, governed identity, consent and lifecycle, the substrate that makes everything else honest.
- 04Order & inventory
- OMS and WMS integrated with commerce, stores and 3PLs. Available-to-sell that reflects reality, not a nightly batch.
- 05Data, AI & trading
- Modelled data, semantic layer, and AI applied to pricing, assortment, demand and service, where a decision moves margin.
- 06Peak reliability
- SLOs tuned tighter for the trading window. Load-tested against real peak. Incident readiness rehearsed in September, not on Black Friday.
Trusted by retailers who trade every week.
A sample of the retail estates we've engineered, from D2C brands to national chains.
Programmes delivered in this sector.
What clients ask us first
01Composable commerce, or all-in-one, how do we decide?
By operating model, catalogue complexity and content velocity. Composable earns its place for retailers with real content velocity, multiple channels or a differentiated experience layer. All-in-one wins where speed to market matters more than depth. Most real estates end up hybrid; we're deliberate about the seam.
02How do you actually make omnichannel work?
By treating store, digital, supply and customer as one estate with shared contracts and shared observability, not as four vendor stacks with a slide claiming they're integrated. Same customer view. Same product data. Same order pipeline. The engineering underneath is where the difference lives.
03Where does AI genuinely help retailers?
In pricing, assortment, demand, personalisation and service, where a decision moves margin. Generative AI in customer service, product content and store-associate assistants earns its place where outcomes shift. We're deliberate about scope; sprayed AI across dashboards usually just adds cost.
04How do you handle peak trading?
As an engineering discipline. Load-tested against real peak profiles, autoscaling that's honest, error budgets tuned tighter for the trading window, and incident readiness rehearsed before Black Friday, not during it. The retailers that trade cleanly through peak are the ones that engineer for it in September.
Let's discuss your retail platform.
Share a brief overview of the trading estate and the outcomes you're chasing, we'll arrange an introductory conversation with the relevant practice leadership.