Industry
Retail & E-commerce Technology
Unified commerce that keeps stock, price and customer data consistent across web, app and store. We build the platforms that let Australian retailers sell everywhere without the operational chaos.
Retail systems fail at the seams: the point where online orders meet warehouse stock, where a promotion hits the POS but not the app, where a returns policy differs by channel. We design commerce architectures that treat inventory, orders and customers as a single source of truth, then integrate the ERP, POS, payment and fulfilment systems retailers already depend on.
Challenges we solve
Fragmented inventory across channels
Overselling and stranded stock happen when the website, marketplaces and stores each hold their own view of availability. A single real-time inventory service is usually the highest-leverage fix.
Legacy POS and ERP integration
Most retailers cannot rip and replace core systems, so new experiences must integrate with existing POS, ERP and payment gateways. The integration layer, not the storefront, is where projects tend to stall.
Peak-season scalability
Traffic during promotions, EOFY and the November-December peak can be many times baseline. Systems need to scale elastically and degrade gracefully rather than fall over at the checkout.
Personalisation without misusing data
Shoppers expect relevant recommendations, but retailers must handle customer data under the Privacy Act and Australian Consumer Law. Personalisation needs clear consent and sensible data retention.
Omnichannel and headless commerce
We build commerce on a headless architecture so the customer experience and the back-end systems can evolve independently. Storefronts, mobile apps and in-store touchpoints all draw on the same product, pricing and inventory services.
- Real-time inventory and order orchestration across web, app, marketplace and store
- Headless storefronts with fast, SEO-friendly rendering
- Integration with POS, ERP, payment gateways and fulfilment or 3PL providers
- Click-and-collect, ship-from-store and buy-online flows
AI-driven merchandising and personalisation
We apply recommendation and search relevance models to lift basket size and conversion, and use demand signals to inform replenishment. Models are built on consented data with clear governance over what is collected and retained.
- Product recommendations and personalised search ranking
- Demand forecasting to support replenishment and markdown decisions
- AI-assisted customer service and product discovery
Scalable, resilient platforms
We run retail platforms on cloud infrastructure that scales for peak trading and stays observable under load. Load testing against realistic peak scenarios is part of the delivery, not an afterthought.
Frequently asked questions
- Can you integrate with our existing POS and ERP rather than replacing them?
- Yes. Most engagements build an integration and orchestration layer around existing POS, ERP and payment systems so you gain omnichannel capability without a risky full replacement, then modernise components incrementally.
- How do you handle traffic spikes during peak sales periods?
- We design for elastic scaling, cache aggressively, protect the checkout path, and load test against realistic peak scenarios such as EOFY and the November-December period so the system degrades gracefully rather than failing.
- Do you build custom platforms or work with off-the-shelf commerce products?
- Both. We assess whether a headless commerce product or a custom build best fits your catalogue, integrations and roadmap, and we are comfortable extending platforms like Shopify or building bespoke services where they add value.
How we help
- Mobile App DevelopmentWe plan, build and support mobile apps that stand up to enterprise security, scale and lifecycle demands. From platform choice to store release and ongoing maintenance.
- Backend DevelopmentBackend systems designed for correctness, scale and the day-to-day reality of operating them in production.
- API DevelopmentAPIs designed as durable contracts, well-documented, versioned and secure, so consumers can build on them with confidence.
- AI DevelopmentWe build custom AI features that make it to production and stay reliable there. From LLM applications and RAG to model integration, evaluation and MLOps.
Related case studies
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