05 / ECOMMERCE
Commerce is an operationsproblem with a storefront.
The storefront is the visible tenth of a commerce business. We build the catalogue, order management, fulfilment and integration systems underneath — and custom commerce platforms for operations that packaged products cannot model.
THE PROBLEM
Growth exposes the back office
Commerce platforms rarely fail at the checkout. They fail when order volume outgrows the operational processes behind it — inventory that is accurate only until two orders arrive together, fulfilment coordinated by spreadsheet, returns handled entirely by hand.
Packaged platforms cover the common path well. The moment a business has non-standard pricing, complex fulfilment, or a marketplace model with multiple sellers, the customisation cost starts to exceed the cost of owning the system outright.
SYSTEMS WE BUILD
What we build for ecommerce.
01
Custom commerce platforms
Catalogue, pricing and checkout modelled around your commercial rules rather than a template's assumptions.
02
Marketplaces
Multi-seller platforms with onboarding, listing management, split payments and settlement.
03
Order management
Order lifecycle, inventory allocation and fulfilment orchestration across locations and channels.
04
Integrations
Connections to payment, shipping, tax, ERP and marketing systems, with failures handled rather than logged.
05
Mobile commerce
Applications and mobile-first experiences engineered for the conversion path on a phone.
06
Analytics
Commercial reporting on the operational data, giving margin and cohort visibility rather than pageview counts.
INTELLIGENCE
Where AI genuinely changes the outcome.
And, just as importantly, where it does not. We are direct about which problems in this sector are better solved with conventional software.
Catalogue enrichment
Generating and structuring product data at scale, including attribute extraction from supplier feeds.
Search and discovery
Semantic search that understands intent, over your actual inventory and availability.
Support automation
Agents resolving order status, returns and policy questions against the real order record.
Demand forecasting
Inventory and replenishment models built on your sales history rather than category averages.
CAPABILITIES
Recurring product requirements.
- Catalogue and pricing
- Checkout and payments
- Order management
- Inventory
- Fulfilment integration
- Returns
- Marketplace operations
- Analytics
PROCESS
From ambiguity to production.
01
Discover
Understand the business, the users, the constraints and the actual opportunity — including where software is not the answer.
02
Architect
Define the product, the AI approach, the data model and the system architecture, with the trade-offs written down rather than assumed.
03
Build
Engineer the software and the intelligence layers together, in short cycles, against criteria agreed before work started.
04
Validate
Test functionality, quality, security and — where models are involved — behaviour, against inputs that reflect real use.
05
Deploy
Launch through infrastructure and pipelines built for repeatable release, with a rollback path that has been exercised.
06
Evolve
Observe how the system behaves in production, improve it against that evidence, and scale what is working.
TECHNOLOGY
Typical stack for this work.
Product
- React
- Next.js
- TypeScript
- JavaScript
- Node.js
- Express
- ASP.NET
- Laravel
- Ruby on Rails
- Vue.js
- Nuxt
- Tailwind CSS
Mobile
- React Native
- Flutter
- Swift
- Kotlin
- iOS
- Android
Data
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Firebase
- Power BI
- Plotly
- Seaborn
- Dash
- Scala
Cloud & DevOps
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
- Terraform
- Jenkins
- Git
- Bitbucket
FAQ
Common questions.
Extend for as long as your requirements sit within what the platform models well. The case for custom arrives when the platform's assumptions are actively obstructing the business — unusual pricing, complex fulfilment, or a marketplace model — and the customisation cost has started to compound.
Yes, and it is usually the highest-value part of a commerce engagement. Order, inventory and fulfilment data moving reliably between systems removes more manual work than any storefront change.
NEXT STEP
Building something in ecommerce?
Tell us the constraints — regulatory, operational or technical. Those are usually what decides the architecture.