E-commerce Development

E-commerce engineering is judged on two days a year. A platform that is fast in March and falls over on Black Friday has failed, regardless of how well it performs on average. We build and re-architect commerce systems for the peak rather than the mean, and for the parts customers notice most: checkout, search, and whether the stock number is true.

Where commerce systems usually hurt

The failure modes repeat across businesses, and they are rarely in the storefront itself.

  • Checkout that degrades under load, precisely when it is most expensive to lose.
  • Inventory that drifts from reality, causing oversells and manual reconciliation.
  • Order flows tangled across a shop platform, an ERP, and a warehouse system.
  • Search and catalogue performance that quietly suppresses conversion.

Engineering for peak, not average

Capacity planning based on average traffic guarantees a bad peak. We load-test against realistic peak profiles, find where the system actually breaks, and fix that rather than the part that looked risky.

  • Load testing against realistic traffic shapes before the season, not after.
  • Caching strategies that stay correct when prices and stock change.
  • Graceful degradation, so a failing recommendation service never blocks a purchase.
  • Observability tight enough to diagnose during a peak rather than afterwards.

Replatforming without losing a season

Full rewrites of commerce systems are risky because the deadline is set by the calendar, not by you. We prefer incremental replacement — moving one capability at a time behind a stable interface — so that at every point there is a working system and a way back.

Frequently asked questions

Do you work with existing commerce platforms?
Yes. Much of the work is extending or integrating platforms already in place rather than replacing them, and replacement is usually the more expensive answer to the wrong question.
Can you help before a peak season?
Yes, and the earlier the better. Load testing and remediation take time; work started weeks before a peak is far more useful than work started days before.
How do you handle inventory accuracy?
By deciding explicitly which system is authoritative for stock, then designing the flow so every other system reconciles against it. Most oversell problems are ownership problems rather than technical ones.

Tell us what you are building

Send a short description of the system and the constraint you are hitting. We reply within one business day.

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