Industry

E-commerce & Retail Software Development

Stock that is right and checkouts that complete.

Most commerce problems are not storefront problems. The storefront is the visible part; the difficulty is keeping inventory, pricing, orders and fulfilment in agreement across a website, a marketplace, a point of sale and a warehouse that all believe they know the current stock level.

Add the fact that a checkout has a payment provider in the middle of it — a system that can succeed while telling you it failed — and the correctness problems become concrete very quickly.

We build storefronts and headless commerce front ends, order management and fulfilment workflows, integrations between commerce platforms and ERP, warehouse or accounting systems, and the internal tooling retail teams use to run promotions and manage catalogue data.

Common challenges

What tends to go wrong

Overselling comes from stock being decremented in the wrong place or at the wrong moment. If the website reserves at payment and the marketplace reserves at dispatch, the two will eventually sell the same unit.Checkout is where money and unreliable networks meet. A payment webhook can arrive before the redirect, twice, or not at all, and a checkout that assumes the happy sequence will eventually produce an order with no payment or a payment with no order.Peak trading is unforgiving and cannot be rescheduled. A defect on a normal Tuesday is an inconvenience; the same defect during a seasonal peak is the quarter.

How we address it

What we build instead

We establish one authority for stock and make every channel reserve against it with an explicit, agreed rule for when a reservation is taken and when it expires. Ambiguity here is what produces overselling, and it is a design decision rather than a technical one.Checkout is built to be idempotent and event-driven. Webhooks are verified, recorded before processing and safe to receive twice or out of order; orders reconcile against the provider rather than trusting a single callback. Failed payments leave a recoverable cart instead of a dead end.Before a known peak we load-test the actual buying path, put a freeze on risky change, and make sure the rollback is rehearsed. Preparing for a peak is mostly deciding what not to deploy.

Outcomes

What typically improves

Stock figures stop being something staff verify manually before promising a customer, and the support load from overselling and mis-picks falls with it.Checkout failures become recoverable rather than lost, and the orders that reach the warehouse match what was actually paid for.

Relevant services

How we help e-commerce & retail teams

All services

Case studies

Work in E-commerce & Retail

Frequently asked questions

Do you work with Shopify, WooCommerce or Magento?

Yes, both as platforms in their own right and as one component in a larger system. A great deal of valuable commerce work is not in the storefront at all but in the order management, fulfilment and integration layers around it, and those can be built alongside a platform you are already committed to.

Can you stop us overselling across channels?

The fix is structural rather than technical: one authoritative stock record, and an explicit rule for when each channel reserves and releases. Most overselling comes from two channels each holding their own view of availability. Getting that agreed is the majority of the work; implementing it is comparatively straightforward.

How do you prepare for peak trading?

Load-test the real purchase path at expected peak, identify and fix the slowest queries, make expensive work asynchronous, agree a change freeze, and rehearse the rollback. Most peak incidents are caused by a change deployed during the peak, so the discipline matters as much as the engineering.

Building for e-commerce & retail?

Tell us how the operation runs today. We will tell you where software would actually help.

Start a project Talk to our team