Scaling a B2B Marketplace to 10× Revenue
TradeSpark
We rebuilt TradeSpark's B2B marketplace from the ground up — cutting load time by 3× and pushing conversion rates 40% higher in six months.
The Results
Measurable outcomes delivered within the first six months post-launch.
The Challenge
TradeSpark's legacy PHP monolith couldn't keep up with growing catalog size and concurrent buyer sessions. Page load times were averaging 8 seconds on mobile, cart abandonment was climbing, and their dev team spent more time patching than shipping. They needed a modern platform that could scale to thousands of SKUs without burning their infrastructure budget.
Our Solution
We migrated TradeSpark to a headless architecture using Next.js on the frontend, a Node.js API layer, and PostgreSQL with read replicas for the catalog. Product pages are statically generated at build time with ISR for live inventory — giving them sub-second loads without a CDN bill shock. Checkout is a standalone micro-frontend powered by Stripe, isolated from the catalog so a deployment never blocks a sale.
TradeSpark runs a B2B marketplace connecting hardware distributors with procurement teams across Southeast Asia. At peak, their platform handled 50,000 daily sessions across 12,000 SKUs — but the aging codebase was struggling to keep pace.
The migration strategy
We phased the migration over 14 weeks to avoid a big-bang cutover. The catalog, search, and checkout were extracted independently — each validated against feature parity before going live. Traffic was shifted using Cloudflare weighted routing, giving us instant rollback capability at every stage.
Performance architecture
Static generation handles 95% of catalog pages. The remaining 5% — real-time pricing, stock levels, and personalised bundles — are fetched client-side from a dedicated pricing API with aggressive edge caching. The result: a Lighthouse performance score jumping from 34 to 96.
Search that actually converts
We replaced keyword-only search with a semantic layer using pgvector. Buyers can now find products by description, application, or part number — and conversion from search to cart improved by 28% in the first month post-launch.
"Netronk didn't just rebuild our site — they rebuilt our confidence in shipping. The new platform handled Black Friday traffic without a single alert firing."
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