E-commerce
Storefront performance, catalog systems, checkout flows, and post-purchase infrastructure: by engineers who've seen what happens when things break on Black Friday.
Common pain points
A storefront that works fine at 100 concurrent users can fall apart at 10,000. Load testing, caching strategy, and CDN configuration aren't optional for any serious e-commerce operation.
Distributed inventory across warehouses, real-time availability, and order state machines that handle cancellations, partial fulfillments, and returns: this is harder to build correctly than it looks.
Every extra second of latency, every unexpected form field, and every payment error costs measurable revenue. Engineers who've optimized checkout flows understand the stakes of each change.
ERPs, WMS platforms, 3PLs, shipping carriers, payment gateways, and marketing tools all need to stay in sync. Each integration is a potential point of failure.
What we build
Next.js storefronts, headless Shopify, Shopify Plus custom development, and commerce composable architectures on platforms like Commercetools and Medusa.
Elasticsearch, Algolia, and Typesense integrations. Engineers who understand relevance tuning, faceted search, and the difference between keyword and semantic search for product catalogs.
Order management systems, warehouse integrations, 3PL connectors, and carrier label generation. Built to handle split shipments, backorders, and return flows.
AI in this industry
AI-driven personalization, dynamic pricing, and demand forecasting are moving from competitive advantage to baseline expectation in e-commerce. Our engineers building in this space understand the data pipeline requirements that make these models work: clean product catalogs, behavioral event streams, and inventory signals are the real challenge, not the model itself.
Common tech stack
Next.js
React
Node.js
Python
GraphQL
Kafka
Elasticsearch
PostgreSQL
Redis
AWS
Vercel
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