When your store outgrows Shopify templates and Magento extensions, custom systems start to make sense. We build the backend, the customer flow, and the operational layer that keeps it all moving.
Most mid-market eCommerce operations run on a stack of 8 to 15 SaaS tools (Shopify or Magento, plus inventory, marketing automation, customer support, fulfillment, returns, etc.) stitched together with Zapier and manual reconciliation. Industry research consistently shows that operational complexity at scale becomes a bigger drag on margins than acquisition cost. Custom systems eliminate the reconciliation tax.
Order flows from cart to fulfillment to customer notification, with intelligent routing for back-orders, multi-warehouse fulfillment, and exception handling that does not require human intervention.
AI agents handling order status, returns, refunds, and product questions. Modern conversational systems resolve the majority of common-tier support tickets without human escalation.
Real-time inventory across channels, competitive pricing intelligence, and reorder triggers that account for lead time variance. Built around your supplier and channel mix, not a generic dashboard.
What we build for eCommerce teams
For ecommerce teams, we build custom platforms, ai agents, and customer flows. Specific solutions within each category are scoped to your operation during the audit.
Both options are on the table. Most clients start with a hybrid: keep Shopify for the customer-facing storefront, replace the operational layer (inventory, orders, returns, customer service) with a custom system. Full headless rebuilds are also possible for clients who have outgrown the platform entirely.
We do not store card data ourselves. Builds integrate with PCI-compliant payment processors (Stripe, Adyen, Braintree) so the compliance burden stays on the processor, not the merchant. Where merchant-side PCI is unavoidable, we build to PCI DSS Level 1 standards.
No, and we do not recommend trying. AI handles the routine and routes the rest. Your team focuses on the conversations that need a human, which is usually 20 to 30% of inbound. The economics work because that 20 to 30% gets the attention, not the noise.
