Commerce engineering for electronics brands

Shopify, Magento and Adobe Commerce, WooCommerce, and headless storefronts on Next.js, chosen by catalogue size, scale and roadmap rather than preference. Electronics brings a particular demand: products carry long structured specification sets that customers filter and compare on, so the platform’s handling of custom attributes and faceted search matters more than in most categories. We check the depth of your specification data early, because a catalogue with dozens of comparable attributes per product needs search architecture planned at the start rather than bolted on once filtering becomes slow.

Yes. We build guided product finders, comparison tooling, semantic search and recommendation engines on current model stacks including Claude. In electronics the highest value application is usually translation rather than personalisation: most buyers do not know which specifications actually matter for their use, so an assistant that turns a plain description of what someone needs into the right technical filter set removes real friction. We ground it strictly in your actual specification data, since a confidently invented compatibility claim leads directly to a return.

Yes. We connect payment providers, shipping carriers, marketplaces and tax systems so orders, fulfilment and settlements stay in step without manual work. Electronics adds two wrinkles worth raising early: higher value orders attract more fraud, so payment risk checks need tuning rather than accepting defaults, and some products carry shipping restrictions, particularly anything containing lithium batteries, which affects carrier options and international routes. We build operations to be idempotent so a retried webhook cannot duplicate an order, and surface sync discrepancies in a report.

Yes, and in electronics the two are tightly linked because buyers compare extensively before purchasing and slow filtering loses them to a competitor tab. We build against the Core Web Vitals thresholds, Largest Contentful Paint under 2.5 seconds, Interaction to Next Paint under 200 milliseconds and Cumulative Layout Shift under 0.1 at the 75th percentile. Google and Deloitte measured a 0.1 second improvement lifting retail conversion by 8.4 percent and average order value by 9.2 percent. Faceted search performance is usually where the largest practical gain sits. A filter that takes two seconds to return on a large catalogue will lose more orders than any amount of visual polish recovers, so we measure it on your real product volume rather than on a sample set.

You do, completely. You receive clean, documented, well structured code and full ownership of everything we build, held in your own repositories from the first commit rather than transferred at the end. There is no proprietary framework you can only maintain through us and no arrangement where you keep paying to use what you commissioned. If you later bring the work in house or move to another agency you should be able to do so without asking our permission or unpicking a dependency on us. For a retailer whose catalogue and specification data represent years of work, that ownership extends to the data structures we build around it, not only the templates.

Most electronics stores go live in six to fourteen weeks depending on catalogue size, custom features and integrations. A focused theme build or straightforward replatform can be faster, while a headless or heavily customised store takes longer, and we share a clear timeline before starting. Specification data preparation is the task most often underestimated here: normalising attributes across manufacturers so products are genuinely comparable is usually your team’s work rather than ours, and inconsistent source data is the most common cause of a delayed launch.

Cost depends on scope, platform and the integrations and AI features involved. We scope every project to your goals and budget, then give a fixed proposal with no surprises, usually within 24 hours of your enquiry. In electronics the variables that move the number most are catalogue depth, the sophistication of search and comparison, and the number of supplier or distributor feeds to integrate. We will say when a requirement is disproportionately expensive relative to the revenue it can realistically produce, since deciding what to leave out is often more valuable.

That is the goal every time, and the method decides the outcome. We map every existing URL to its destination as a one to one redirect plan rather than pointing old pages at the homepage, preserve titles, descriptions and structured data, and migrate product, customer and order data with reconciliation rather than a raw dump. Product schema deserves particular care in electronics, since price, availability and review markup drive a lot of visibility. We then monitor Search Console daily for the first thirty days.

Yes. We build iOS and Android shopping applications with personalised feeds, stock and price alerts, order tracking and fast checkout, connected to the same backend as your store. The honest question we ask first is whether your purchase frequency justifies one, because electronics is often a considered, infrequent purchase and an application nobody opens between purchases gets uninstalled. Where an application does earn its place it is usually for support, warranty registration and accessories rather than for the original purchase itself. We would rather establish that from your own repeat purchase data than assume it, because building an application nobody reopens is an expensive way to learn the answer.

Yes, and it needs designing for rather than hoping. We architect for peak load with edge caching, queueing for checkout and horizontally scalable infrastructure, then load test against realistic launch volumes rather than average traffic. Inventory logic that prevents overselling matters just as much, because product launches in electronics attract concentrated simultaneous demand for limited stock, and cancelling confirmed orders costs more goodwill than the sale was worth. Where a launch is genuinely large we can add a waiting room so checkout traffic enters at a controlled rate.

Yes. Every build includes thirty days of post launch support, and beyond that we continue with monitoring, security patching, updates, new features and ongoing conversion and SEO work, so the store keeps improving rather than gradually falling behind. You get one senior team for the build and the growth rather than a handover into silence. For Magento and Adobe Commerce stores, scheduled patching matters more than teams assume: Sansec found roughly 75 percent of stores still unpatched a week after the CosmicSting fix, CVE-2024-34102, was published.

As structured data rather than as text buried in a description, because all three are used operationally as well as for display. Serial number capture at fulfilment supports warranty validation and returns handling later, warranty terms are modelled per product or category so they display consistently and can be reported on, and specifications are normalised into consistent attributes so comparison and filtering actually work across manufacturers. The last point is where most electronics catalogues fail: when the same attribute arrives under three different names from three suppliers, comparison silently breaks.