Ecommerce Development Services for D2C, B2B and Marketplace Operators

Yes. We split monolithic storefronts into composable commerce: a commerce engine, CMS, search and CDP behind a unified storefront, with phased migration to keep revenue stable.

We integrate VAT calculation services, support OSS and IOSS schemes, and reconcile invoices per country with proper tax codes and B2B reverse charge.

We integrate Avalara, TaxJar or Vertex for US state sales tax, track post-Wayfair economic nexus thresholds per state, and implement Marketplace Facilitator Act collection-and-remittance flows so the platform collects on behalf of third-party sellers.

We implement consent management, server-side tagging, first-party data pipelines and DSR/right-to-know/opt-out automation so personalization stays GDPR-aligned (EU) and CCPA-acknowledged (US) after the cookie sunset.

Yes. We model account hierarchies, contract pricing, quotes and approvals on top of standard B2C catalogs, with a shared product information backbone.

We build seller onboarding, KYC, content moderation and trader transparency aligned with the Digital Services Act and Omnibus Directive.

Shopify Plus makes economic sense up to approximately $100M GMV for B2C brands where speed-to-market, third-party app ecosystem, and reduced infrastructure overhead outweigh the 0.15–0.25% transaction fee and platform customization limits. Custom commerce builds are justified when your business model requires capabilities Shopify cannot deliver: complex B2B pricing rules, multi-warehouse fulfillment logic, custom payment workflows, or deep ERP integration that Shopify's API architecture doesn't support efficiently. Migration costs from Shopify to custom typically run $200k–$500k+ — factor this into your platform decision early, as the cost of migration increases with the volume of customization, data, and integrations built on Shopify.

Headless commerce delivers superior Core Web Vitals performance (LCP under 1.5s vs 3–5s for Shopify Online Store), multi-channel deployment from a single API, and developer experience improvements that reduce time-to-market for new features. The trade-offs are real: initial development cost is 2–3x higher than a traditional storefront, and operational complexity requires dedicated front-end developers and DevOps resources. Headless makes business sense when performance directly affects conversion (a 1-second LCP improvement typically lifts conversion 2–5%), when you need a true native mobile app experience, or when you're deploying the same product catalog across multiple branded storefronts, markets, or channels. For single-channel D2C brands under $20M GMV, a well-optimized Shopify theme typically outperforms headless on a cost-adjusted basis.

Black Friday load testing should simulate 10–20x your typical peak traffic with realistic user behavior patterns (product browse, search, add-to-cart, checkout) rather than just homepage hits. Key engineering requirements: autoscaling that provisions new capacity in under 60 seconds (Kubernetes HPA with KEDA custom metrics), database read replicas for product catalog queries that don't hit the primary, Redis cache warming for product pages and inventory status that starts 4 hours before the sale, and circuit breakers that degrade gracefully under load (show cached prices rather than returning errors if the pricing service is overwhelmed). We recommend a dedicated load test infrastructure that mirrors production with realistic data volumes and runs 2 weeks before the sale event, giving time to resolve bottlenecks without the pressure of the live event.

Native mobile apps convert at 3x the rate of mobile web for returning customers who have the app installed, due to stored payment credentials, biometric checkout, push notification re-engagement, and faster load performance from cached app assets. However, apps require customer acquisition investment to drive installation — a mobile web session has zero friction. The optimal strategy for most e-commerce brands is progressive: a high-performance mobile web experience (PWA with service worker caching) captures first-time visitors and drives app install prompts, while the native app delivers the high-conversion experience for loyal returning customers. App investments make economic sense once you have 50,000+ monthly active buyers who repeat purchase regularly.

Algolia is the fastest path to high-quality e-commerce search: it is SaaS, requires no infrastructure management, delivers sub-10ms query response through its distributed search network, and provides a well-designed merchandising dashboard for non-technical teams to manage search ranking rules, synonyms, and promoted results. Elasticsearch (or OpenSearch) gives you full control over ranking algorithms, infrastructure costs that scale linearly rather than per-search-operation, and the ability to process complex aggregations that power faceted navigation on catalogs with millions of SKUs. Algolia is the right choice for most e-commerce teams up to $100M GMV; Elasticsearch becomes economically justified above that scale or when search requirements exceed Algolia's ranking flexibility. We implement both and provide a cost/capability analysis for your specific catalog size and query volume.

E-commerce technical SEO has distinct requirements beyond standard site optimization. Canonical tags are critical for handling URL parameter variants (faceted navigation, sorting, pagination) that create thousands of near-duplicate URLs Google won't index efficiently — implement canonical consolidation with rel=canonical and crawl budget management via robots.txt parameter rules. Product schema (schema.org/Product) with price, availability, review ratings, and GTIN/MPN identifiers enables rich results in Google Shopping and SERP features. Faceted navigation requires JavaScript-rendered or server-side filter states that Google can crawl without executing state-change JavaScript. Internal linking between category pages, subcategories, and products passes PageRank efficiently through the site hierarchy. Site speed is particularly important for e-commerce: Google's Core Web Vitals (LCP, INP, CLS) are confirmed ranking factors, and a 1-second improvement in LCP directly correlates with 5–10% conversion improvement.