Shopify is the right choice for most DTC brands and single-channel eCommerce operations it is fast to build on, well-maintained, and the App Store covers most standard eCommerce requirements. Shopify Plus extends it meaningfully for higher-volume operations. Magento 2 is appropriate for retailers with complex catalogue structures, B2B requirements, or multi-store needs that exceed Shopify's native capabilities. A custom platform makes sense when the business model or product catalogue structure falls outside what either commercial platform can accommodate without extensive customisation subscription and bundle commerce, complex configurator products, or B2B wholesale with customer-specific pricing and contract terms are common cases. We make the recommendation based on the commerce requirements, not on platform preference.

A standard Shopify theme build with core integrations takes 6-10 weeks. A mid-complexity Magento or custom eCommerce build takes 3-6 months. A full custom eCommerce platform with AI personalisation and omnichannel integration takes 6-12 months. A custom POS system takes 4-7 months. Platform migration from one eCommerce platform to another takes 8-16 weeks depending on catalogue size and data complexity. The biggest variable is integration scope; each third-party integration adds time and the sequence matters because some integrations depend on others being completed first.

AI-integrated retail and eCommerce development means building platforms where machine learning is part of the core commercial value improving discovery, increasing conversion, reducing inventory waste, and retaining customers more efficiently than rule-based approaches allow.

In retail this includes product recommendation engines that personalise every customer's experience across the storefront and all communications, visual search that enables image-based product discovery, demand forecasting models that improve inventory replenishment decisions, dynamic pricing that responds to competitive and demand signals, AI commerce assistance that handles product knowledge queries without human support, and customer churn prediction that identifies at-risk customers for proactive retention. These capabilities require an event tracking infrastructure and data architecture built from the first user session which is why we address the AI architecture during the commerce strategy phase rather than treating it as a later add-on.

Yes. We have delivered a custom POS system covering sales transaction processing, inventory management, employee and customer administration, multiple payment methods, and multi-hardware peripheral integration. Custom POS development makes sense when the operational model hardware variety, custom pricing and discount logic, specific inventory workflows, or the integration requirements with an eCommerce platform or ERP falls outside what commercial POS platforms can accommodate without significant compromise. The discovery process for a custom POS engagement maps the operational requirements, hardware environment, and integration landscape before any development begins.

eCommerce and POS integration typically covers real-time inventory synchronisation between channels, unified customer data across online and in-store, order management that handles both channel types in a single workflow, and loyalty points accrual and redemption across both surfaces. The integration architecture depends on the platforms involved: Shopify has native POS integration capability; Magento requires custom integration work; custom eCommerce platforms require custom API integration in both directions. We design the integration architecture before building the individual systems where possible, because systems designed to share data are significantly easier to integrate than systems built independently and connected after the fact.

Core Web Vitals Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint are direct factors in both Google search ranking and eCommerce conversion rate. We treat performance as a first-sprint engineering requirement rather than a post-launch optimization because the architecture decisions that affect performance image delivery strategy, JavaScript loading sequence, server-side rendering versus client-side rendering, third-party script management are significantly more expensive to change after the site is built than before. Page speed targets and Core Web Vitals thresholds are defined during the discovery phase and tested throughout development rather than at launch.

Three models: Dedicated Retail Development Team for multi-quarter retail platform builds and ongoing product evolution; Time and Material for iterative development where the merchandising and integration requirements are evolving or the post-launch optimisation work is ongoing; and Fixed Cost for well-scoped retail software projects with a clear trading calendar deadline a platform launch before peak season, a POS deployment for a new store opening, or a platform migration where the go-live date is fixed. We recommend the right model based on scope clarity and the commercial timeline the retail business is operating against.