Customer data scattered across the stack
Web, mobile, in-store, loyalty, and call centre all sit in different systems. Personalisation and lifetime-value work only when the underlying customer profile is unified and trustworthy.
AI-native engineering for omnichannel retailers, brands, and consumer marketplaces – customer 360, personalisation, demand forecasting, and supply-chain visibility shipped to production by senior practitioners with marketing and engineering experience in equal measure.
Customer 360 · Personalisation · Supply Chain
Web, mobile, in-store, loyalty, and call centre all sit in different systems. Personalisation and lifetime-value work only when the underlying customer profile is unified and trustworthy.
Stock data is consistent inside each channel and contradictory across them. Click-and-collect, BOPIS, and fulfilment optimisation all need a single, live view of inventory.
Forecasting models trained on quarterly extracts can’t respond to real demand signals. Dynamic pricing and replenishment need real-time data and explainable AI.
Cookie deprecation, consent regimes, and platform restrictions have made attribution harder. Brands need clean-room data, consent-aware measurement, and senior data engineering – not another vendor.
Engineered for omnichannel realities – not single-channel demos. Cross-linked to the Retail Customer 360 accelerator where it pre-shapes the work.
Unified customer profiles across web, mobile, in-store, and call centre. Pairs with the Retail Customer 360 Platform accelerator for a 14–18 week build.
Production recommendation systems and dynamic content orchestration. AI-driven, explainable, and tied to merchandising and editorial controls.
Real-time forecasting, replenishment, and pricing models built on AI-ready data foundations – with the governance retailers and regulators both expect.
Single live view of inventory across DCs, stores, and 3PLs. Fulfilment optimisation that respects the operational reality, not just the model.
Composable commerce, headless front ends, and AI-augmented merchandising. Migration off monolithic platforms without throwing away conversion.
Data clean rooms, consent-aware attribution, and measurement frameworks that work in a post-cookie world – with senior data and AI practitioners shaping the build.
Full case studies live in the case studies archive.
Common questions we get from senior technology leaders evaluating this work. Direct answers, no hedging. Open one to read in full.
A CDP unifies customer data into profiles. A Customer 360 is the operational capability that puts those profiles to work – personalisation, service, marketing, merchandising all reading from the same view. The CDP is necessary. The Customer 360 is what actually moves the lifetime-value number.
Consent records live in the profile. The personalisation engine reads them on every decision – which channels to use, which signals to act on, what fallback to serve. Consent is a runtime input, evaluated on every recommendation. Treating it as an admin setting somebody flipped six months ago is how organisations end up in a regulator’s inbox.
Yes. These are the categories where AI-assisted forecasting pays back fastest. Short-life products, weather-sensitive demand, event-driven peaks – all benefit from models that update on real signals instead of weekly extracts. We pair the engineering with senior data scientists who understand the merchandising context, because the model is only ever as good as the question being asked of it.
An event-streamed inventory service every channel queries, with reliable reconciliation back to the systems of record. The hard part is the operational discipline – returns processing, store transfers, cycle counts – that keeps the data trustworthy. The architecture is straightforward once the operational model supports it.
Customer 360 with our accelerator: 14 to 18 weeks. Composable commerce migration: 6 to 12 months depending on catalogue complexity. Full omnichannel transformation: a multi-year programme sequenced around the trading calendar. We design each phase to deliver measurable value before the next one starts. No big-bang reveals.
Send us a brief and we’ll come back within one working day with a senior practitioner who has shipped customer 360, personalisation, or supply-chain platforms before.