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Subcategories and product cards bring the range, brands and prices into one view.
Explore this page (opens in a new tab)From supplier data to a China-to-India commerce product
Supplier-data scraping and AI engineering for a cross-border shopping and warehouse platform.
Indian buyers needed usable product information from multiple Chinese suppliers, with warehouse tooling to support the operation. Further commerce development is currently paused.
Presentation demo — not a production walkthrough.
We built the supplier-data pipelines and integrated the AI services. Work on the cart and order flows is still in progress.
Built scraping pipelines to bring authorised vendor records from AliExpress and Pinduoduo into Sinzo.
Translate descriptions, remove duplicates, map categories, convert prices, process images and prepare stock updates.
Deployed a dedicated LLM with inference engineering and integrated OpenAI APIs. The AI work covers catalogue processing and shopping assistance.
Ongoing work covers selected variants and quantities, cart checks for stock, price and ownership, and server-side order creation.
Subcategories and product cards bring the range, brands and prices into one view.
Explore this page (opens in a new tab)Colour and size selection sit beside the price, with expandable information for a closer look.
Explore this page (opens in a new tab)The selected variant, quantity and order summary carry through to the bag before checkout.
Identity and logo design were included in the engagement, giving the business a brand foundation while its software was being developed.
Bring us your idea. We’ll shape the next step together.
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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