Arcadia: E-commerce platform.
A web app for online retail, built with Django REST Framework and Python. Catalogue, inventory, checkout and fulfilment run off one backend, so what shoppers see is always what the business can actually sell.
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 was selling through channels that didn't share a catalogue, stock or order view.
- Shoppers expected fast browsing, search and a clean checkout on any device.
- Orders, inventory and fulfilment had to stay in sync as volume grew.
- Promotions, pricing changes and new products had to go live without a developer in the loop.
Our approach.
- Built the storefront with Django REST Framework for responsive browsing, search and cart.
- Backed it with Django REST Framework over a single product, inventory and order model.
- Wired checkout, order status and fulfilment into one flow.
- Gave admins catalogue, pricing and stock tooling.
- Gave the business self-serve control over catalogue, pricing and promotions.
The outcome.
- Shoppers browse, search and check out from one storefront on any device.
- Inventory and orders stay in sync instead of drifting across channels.
- Admins manage catalogue and pricing without engineering help.
- The business changes catalogue, prices and promotions without waiting on a developer.
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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.
“Cloudini did some great work for Sainsbury's, bridging complex interactions between some older less flexible systems, some rigid vendor solutions and the new systems we were building. The software Cloudini developers wrote stood up well, long beyond the interim scope of it needing to work for 12-18m and was still in active use 5 years after its creation to good effect, since it was part of mission critical systems.”
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