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.

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Budget beyond Mercury 3's launch discount, check its streaming and reasoning defaults, and measure how quickly a support agent produces a correct, usable answer.
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Separate the model's context from each provider's limits, calculate a coding-pilot budget, and test a mobile layout repair before committing to self-hosted hardware.
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Compare recorded and realtime transcription costs, identify launch-documentation conflicts, and test whether a corrected collection request survives the trip from audio to an operations draft.
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Check the released model's token rates and API compatibility, calculate a realistic pilot budget, and evaluate image evidence against changing inventory records.
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Separate GLM-Legal's beta access from unconfirmed API terms, interpret its independent benchmark results, and test document evidence with a reviewer-inclusive cost model.
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Check the October 17 model update, peak and off-peak token rates, and new search charges, then evaluate an agent against versioned API evidence.
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Understand Timestral's time-step limits and weight license, estimate a local forecasting job, and design a retail backtest that cannot see future sales.
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Check Sonnet 5.5's token costs, thinking settings and conversation requirements, then evaluate coding changes against a concrete merchant-sorting fixture.
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Check Gemini 4 Argon's access rules, shared token budget and launch pricing, then use a controlled supplier-data evaluation to plan an API migration.
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