Custom shopping experiences
Build navigation and product journeys that need a separately controlled frontend.
Custom storefronts using Shopify's commerce services, with independent frontend delivery and explicit handling of content, cart and checkout boundaries.
Storefront APIBuild navigation and product journeys that need a separately controlled frontend.
Combine editorial content with Shopify products using an agreed CMS.
Move presentation layers while keeping commerce records and checkout in Shopify.
Capability Example
A cached product page is open while the last unit is purchased elsewhere.
Illustrative data. Nothing is sent to an external system.
1Variant V-104 sold elsewhere
2Catalogue cache invalidated
3Product page refresh requested
Invalidate catalogue data after a relevant product event.
1Available quantity: zero
2Addition refused with explanation
3Alternative variant offered
Recheck availability when the shopper adds the variant to the cart.
1Available cart confirmed
2Shopify checkout URL returned
3Return path and analytics tested
Hand off the validated cart to Shopify's checkout flow.
A purchasable cart or an explicit availability message instead of a stale promise.
Separate frontend hosting, CMS editing and Shopify administration responsibilities.
Theme-dependent apps may require custom integration or replacement in a headless store.
No. Performance depends on rendering, caching, third-party code and implementation. Establish measurements before choosing the architecture.
The usual integration hands checkout to Shopify. Exact customization is constrained by supported APIs, extensions and the merchant's plan.
Share the shopping experience you need, current apps and the team that will own the frontend.
What our clients value about working with Daphnis Labs.
The team at Daphnis Labs redefined what’s possible for Urbanface. They delivered a bespoke, animation-heavy website that remains incredibly quick and functional. The…
We wanted a unique, 'one-of-a-kind' feel for Glareen, and Daphnis Labs delivered an ecosystem that is both beautiful and technically superior. Their expertise in…
The level of technical depth Daphnis Labs brought to our Game project is unparalleled. While the front-end reel games are visually stunning and highly engaging, the…
Practical perspectives on AI, product engineering, commerce and modern software delivery.

Measure recovery by restoring into an isolated environment and checking the application, roles and dependencies that need the data.
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Classify responses before caching them, make cache keys reflect their audience and test what happens when permissions change.
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Review database roles, background jobs and exports together when designing row-level security for a shared application database.
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Plan rollout, fallback behaviour and flag removal together so temporary release controls do not become permanent product complexity.
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Connect traces, metrics and structured logs around a real failure path so the team can locate an incident and choose a next action.
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Define permissions around concrete actions, and make an approval apply to the exact message or record that will be changed.
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Separate parsing, validation and approval so an ordinary spreadsheet upload does not become an opaque bulk edit.
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Give images, third-party scripts and interactions measurable limits, then investigate regressions by page template and device.
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Help people complete a form with persistent labels, specific errors, preserved answers and a clear confirmation state.
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Separate event receipt from order processing, record duplicate deliveries and recover work that stops halfway through.
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