Smart product recommendations, high-load marketplaces, seller and buyer accounts, warehouse integrations, CRM, and payment systems.
Commerce systems fail in predictable places: the catalogue when it grows, search when the assortment stops being uniform, and checkout on the day the marketing worked. These are the pieces we build and the ones we make sure survive that day.
Seller and buyer sides, catalogues, orders, and payouts.
Product and next-action suggestions from behavioural data.
Separate roles, permissions, and dashboards for each side.
Stock levels, reservations, and fulfilment status in sync.
Customer records and payment providers wired into one flow.
Conversion, cohort, and assortment reporting on live data.
In practice
Most of the engineering effort here goes into things a customer never sees. Reserving stock correctly under concurrent orders, failing over between payment providers without losing a basket, and keeping the catalogue consistent while ten sellers edit it at once. Get those right and the visible product becomes simple.
Traffic peaks are the real constraint here. We design the catalogue, search, and checkout paths to hold a sale day, not an average Tuesday.
Software and AI projects require a considered buying process. We offer a clear first step: clarify the challenge, assess the architecture, and identify where AI can create real business value.
If your project involves confidential business information, we can start with an NDA.
