Retail & E-Commerce

By decoupling the frontend (using Next.js/React) from the backend commerce engine (Shopify Plus, Commercetools), we leverage static site generation (SSG) and edge caching. This typically reduces First Contentful Paint (FCP) and Time to Interactive (TTI) by 40-60%. In e-commerce, every 100ms improvement in load time correlates to a 1% increase in conversion rate. Our headless builds consistently achieve Google Lighthouse performance scores of 90+ on mobile.

We implement event-driven inventory architectures using Apache Kafka or Redis. When an order is placed, inventory is locked synchronously in an in-memory cache before the transaction completes, rather than waiting for a slow relational database to update. This ensures absolute inventory accuracy even when processing 5,000+ orders per minute, completely eliminating the customer service nightmares associated with stock desynchronization.

Yes. We implement real-time AI personalization pipelines using vector databases. By analyzing clickstream data (session duration, category hovering, cart additions) in real-time, our models can classify an anonymous user's intent within 3 page views. This allows the frontend to dynamically re-sort product grids and recommend cross-sells, typically increasing Average Order Value (AOV) by 15% to 22%.