No card data on our servers
Payment is tokenised through the provider; sensitive card data never touches our infrastructure.
A retailer was overselling stock across warehouses during peaks. We fixed it with real-time inventory, a headless storefront and one-click checkout — no replatform, no checkout downtime.
Start a project like thisAcross several warehouses, the retailer was overselling during peaks — two customers buying the last unit, then one getting an apology. It cost sales and it cost trust.
Fix it without a full replatform and without a minute of checkout downtime. The store had to keep selling while we rebuilt the engine underneath it.
Three decisions shaped the build. Each one is a bet we can explain.
Real-time multi-warehouse sync with reservations, so two carts can't both claim the last unit. Stock reflects reality, not last night's snapshot.
A commerce API the existing front end could adopt incrementally — no big-bang cutover, no dark launch weekend.
Tokenised payment and saved addresses to cut drop-off at the final, most fragile step of the funnel.
A small, named squad and a two-week rhythm — the same people, a demo you attend, and no surprises at launch.
SAME ENGINEERS THROUGHOUT · PR REVIEWED BEFORE MERGE · A DEMO EVERY SECOND FRIDAY
The section enterprise buyers read first.
Payment is tokenised through the provider; sensitive card data never touches our infrastructure.
Order processing held its success rate across [TO CONFIRM] peak-season transactions.
Stock is reserved at add-to-cart, so concurrency can't sell the same unit twice.
PostgreSQL for inventory that must stay consistent, Redis for the hot read paths, and a headless API so the storefront could migrate a page at a time. Consistency first, speed layered on top.
[TO CONFIRM — a verified quote from the retailer about the oversell fix and checkout, in plain words.]
That was the constraint on Shoplytics. Book thirty minutes and tell us where it hurts.
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