Candy: Custom application.
A React Native app over a Django REST Framework backend, built to run one retail workflow end to end. Modelling that workflow once, rather than per screen, is what keeps the data consistent as the product grows.
Anonymised case study. Project names are aliases used to protect client confidentiality. The case study covers the project’s challenge, approach, technology and outcome.
The challenge.
- The client needed a dependable product to run a specific workflow end to end.
- It had to work cleanly for everyday users across their devices.
- Data had to be captured and stored consistently.
- Edge cases in the workflow had to be handled explicitly rather than left to workarounds.
Our approach.
- Built the mobile app with React Native.
- Backed it with Django REST Framework over a persistent store.
- Modelled the core workflow so data is validated and consistent.
- Kept the interface simple for everyday use.
- Handled the workflow's edge cases explicitly in the model, not in workarounds.
The outcome.
- Users run the core workflow from one mobile app.
- Data is stored consistently instead of living in spreadsheets.
- The product is straightforward to extend.
- Edge cases are handled by design rather than by workaround.
Related retail & commerce work.
Anonymised case studyCommerceFrontir: emerging-markets research.
Research clients access representative panels in markets that were previously unreachable.
React · Redux · PHP · Slim
Anonymised case studyCommerceOrdermint: E-commerce platform.
A web app for online retail, built with Django, AWS, Python, jQuery and Bootstrap. Catalogue, inventory, checkout and fulfilment run off one backend, so what shoppers see is always what the business can actually sell.
Django · AWS · Python · jQuery
Anonymised case studyCommerceServora: Custom application.
A web app for a focused workflow, built with Vue, Django REST Framework and PostgreSQL. The core workflow is modelled properly once, so data stays consistent and the product is straightforward to extend.
Vue · Django REST Framework · PostgreSQL
Where AI fits in retail & commerce.
Search that understands what shoppers mean, product copy and imagery generated against your brand rules, and support assistants that check order status before they answer.
Explore AI developmentClient feedback on our work, separate from the anonymised project described above.
One of their strengths is quickly building out a multi-disciplinary team to work on the development and delivery of features with different technical requirements. Their support has allowed us to accelerate our development work without building an internal team. They have also worked seamlessly with other third parties both during the acquisition of Dragonfly and development of our mobile app.
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