E-Commerce Development
High-converting online stores with seamless checkout and powerful backend management
E-commerce performance problems are unusually expensive, because every one of them has a measurable revenue number attached. A slow product page is abandoned carts. A checkout that fails under load is orders that never happened. Overselling stock is refunds, support cost, and a customer who does not come back.
We build stores that hold up on the day traffic actually arrives — with browsing served from cache, checkout that is idempotent and correct under concurrency, and inventory that cannot be sold twice.
What's Included
Key Benefits
Browsing Served From Cache, Not the Database
The overwhelming majority of e-commerce traffic is people browsing, and that traffic is almost entirely cacheable. Rendering the same product page thousands of times per minute with identical output is the first bottleneck under load and the most avoidable one.
We cache pages at the CDN with a short lifetime and stale-while-revalidate, so expiry never causes a user-visible wait, then load live stock as a small separate request. The description, images, and reviews are static for minutes; only the availability indicator needs to be current, and it is a tiny payload.
Inventory That Cannot Be Oversold
The naive implementation reads the stock level, checks it, and writes the decrement. Between the read and the write another request does the same, both succeed, and one unit has been sold twice. Under a traffic spike it sells fifteen times.
We make the decrement atomic and conditional in a single database operation, so the database resolves the race rather than the application. We also make an explicit decision about when stock is committed — at cart, at payment authorization, or at order confirmation — because each has real tradeoffs, and the common failure is not having chosen deliberately.
Checkout Built for Real Conditions
Under load, users double-click, networks retry, and mobile connections drop mid-request. Any of these can submit an order twice, and a customer charged twice is a refund, a support ticket, and a lost repeat purchase.
We generate an idempotency key when checkout begins so a repeated request returns the original result rather than creating a second order, and we use the same mechanism with the payment provider. It is a small amount of work that removes an entire category of incident, and it is much harder to retrofit once the orders table already contains duplicates.
Everything Non-Essential Off the Critical Path
The only things that must happen before an order is confirmed are validating the cart, authorizing payment, committing inventory, and persisting the order. Confirmation emails, invoices, warehouse notifications, analytics, loyalty points, and ERP synchronization all belong in queues.
The reason is failure isolation as much as speed. Your providers are under a spike when you are, and a synchronous email send means a degraded email provider breaks checkout. Queued, it means emails arrive a few minutes late and orders complete normally.
How We Work
- 1
Commerce architecture
Platform decision — headless, custom, or hybrid — based on your catalog size, integration needs, and merchandising workflow.
- 2
Storefront build
Fast, search-visible product and category pages with structured data, built against Core Web Vitals on throttled mobile.
- 3
Checkout & payments
Idempotent checkout, payment and tax integration, and atomic inventory commitment with a defined reservation policy.
- 4
Operations & integrations
Order management, fulfilment, ERP and warehouse connections, all built as queued work with retries and dead-letter handling.
- 5
Peak-load readiness
Journey-based load testing at several multiples of expected peak, cache pre-warming, and a documented feature-shedding plan.
Frequently Asked Questions
Should we use Shopify or build custom?
Shopify is the right answer for a large share of stores, and we will say so when it is. Custom or headless makes sense when you have complex pricing or B2B rules, a multi-vendor marketplace, deep ERP integration requirements, or a catalog and merchandising model the platform cannot express. A common middle path is headless: Shopify as the commerce engine with a custom storefront on top.
Can you make our existing store faster?
Usually yes, and often substantially. We audit real user metrics rather than lab scores, then work through the common causes — oversized images, render-blocking third-party scripts, uncached pages, and N+1 queries behind category listings. We report expected impact before doing the work.
How do you prepare for Black Friday?
Journey-based load testing at several multiples of expected peak, cache pre-warming for top products, scaling up in advance rather than relying on autoscaling to react, a deployment freeze, dashboards showing conversion and checkout success rate, and a documented list of non-essential features that can be turned off to shed load. That last one turns a potential outage into a temporarily reduced experience.
Do you handle multi-vendor marketplaces?
Yes. Marketplaces add vendor onboarding, split payments and payouts, per-vendor inventory and fulfilment, commission handling, and vendor-facing dashboards. It is meaningfully more scope than a single-merchant store and we scope it as such.
What about SEO for product pages?
It is built in rather than added later: server-rendered content, product structured data for rich results, canonical handling for variants and filtered listings, and a crawlable pagination and faceting strategy. Filtered category URLs generating thousands of near-duplicate pages is one of the most common and most damaging e-commerce SEO problems, and it is far cheaper to prevent than to unwind.