Retail & E-Commerce.

Headless commerce decouples the front-end customer experience from the back-end commerce engine, allowing the presentation layer (website, mobile app, in-store kiosk, voice interface) to be built and iterated on independently of the product catalogue, pricing, inventory, and order management systems that power it. We implement headless commerce architectures using composable platforms (Commercetools, Medusa, custom-built) connected via API to front-end applications built in Next.js or React Native, giving retailers the flexibility to deploy new channels and update customer experiences without touching the commerce core.

A recommendation engine that surfaces the right product to the right customer at the right moment of their journey increases average order value, reduces time to purchase, and creates a shopping experience that feels understood rather than generic. We build recommendation systems using collaborative filtering (based on what similar customers bought), content-based filtering (based on product attributes), and hybrid approaches that combine both, trained on your specific catalogue and transaction history, with A/B testing infrastructure that measures the incremental revenue impact of recommendation changes before full rollout.

Inventory intelligence gives retailers and brands a real-time, accurate picture of stock positions across warehouses, stores, and in-transit locations, and uses that picture to support better decisions about replenishment, allocation, and markdown timing. We build inventory intelligence systems that aggregate data from multiple source systems (WMS, ERP, POS, supplier portals), apply demand forecasting models to predict stock requirements by location and SKU, and surface the alerts and recommendations that prevent the two most costly inventory outcomes: stockouts that lose sales and overstock that erodes margin.

An omnichannel platform unifies the customer experience across every channel a retailer operates, online, mobile, in-store, and social, so that a customer who starts a purchase on the app and completes it in-store, or who returns an online order at a physical location, experiences a seamless interaction rather than disconnected systems that do not recognise each other. We build omnichannel architecture that creates a single customer profile, a unified order management layer, and consistent product and pricing data across all touchpoints, replacing the channel silos that create friction for customers and operational complexity for retail teams.

Loyalty programmes are most valuable when they change behaviour, encouraging customers to consolidate spend, return more frequently, or try categories they have not purchased before, rather than simply rewarding purchases that would have happened anyway. We build loyalty platforms with the points and rewards mechanics, tier structures, personalised offer engines, and partner programme integration that make a programme genuinely influential rather than a discount scheme with extra steps. Platforms are designed for the real-time transaction processing and campaign management capabilities that an active programme requires at scale.