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An AI assistant is planned. Until it is genuinely useful we would rather point you at the page that actually answers your question.
E-commerce is one of the few areas where page performance maps directly to revenue. Slow product pages lose sales measurably, and the effect is strongest on mobile connections — which is where most traffic now originates.
It is also unusually SEO-dependent. Product and category pages need to be indexable, which makes rendering strategy a commercial decision rather than a technical preference. Client-rendered catalogues compete poorly for the queries that drive discovery.
Traffic is spiky in a way that shapes architecture. A sale or campaign can produce ten times normal load within minutes. Systems sized for average traffic fail exactly when they are most valuable, so caching strategy and inventory contention need attention before the peak, not during it.
Constraints
These are the factors that change architecture rather than decorate it.
Card data handled through a processor rather than your systems, keeping compliance scope small.
Overselling during high-concurrency events requires deliberate handling — optimistic locking or reservation windows.
Rates varying by jurisdiction and product type, particularly once selling across borders.
Returns, refunds and cancellation rules that differ by market and must be reflected in the system.
Applications
Catalogue and checkout where a platform template cannot express the product or the buying process.
A commerce backend with a custom front end, keeping platform capability while controlling the experience.
Multi-vendor systems with split payments, seller onboarding and per-seller inventory.
Connecting orders to warehouse, courier and returns systems so status stays accurate end to end.
Integrations
Common integration points in this sector. Others are handled case by case.
FAQ
Tell us what you are trying to build or fix. We will come back with scope, approach and an honest view on cost and timeline.