What makes this sector different
- PCI DSS
- GDPR
- CCPA
- WCAG 2.2 AA
Retail engineering is a peak-load problem wrapped in a data-quality problem. The systems must absorb an order of magnitude of traffic on one day a year, and the recommendations must be built on an inventory picture that is actually correct.
We work on unified commerce platforms, forecasting and allocation models, and the personalisation layers that lift basket size without creeping customers out.
Peak elasticity
Twenty times normal load for six hours, with no dress rehearsal.
Inventory truth
One stock figure across stores, warehouses and marketplaces.
Personalisation economics
Recommendations that pay for their own inference cost.
Channel fragmentation
The same customer, the same basket, across app, web and store.
Published work in this sector is limited
Most of our retail & e-commerce engagements sit under arrangements that prevent us publishing them. We can walk through anonymised architecture and outcomes in a conversation, and arrange named references at proposal stage.
Ask about our work here →
A short conversation with an engineer, not a sales qualification call. If we're the wrong people for it, we'll say so and point you somewhere better.