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E-CommerceLewis Labs Case Study

E-Commerce Scale-Up

Re-engineering an enterprise-scale electronics marketplace to handle extreme global traffic spikes without compromising on sub-second search speeds.

VISIT LIVE PROJECT
01 / The Challenge

Conquering complexity
through engineering.

"The existing infrastructure crashed during high-demand events. Search queries took upwards of 4 seconds, leading to a massive loss in potential sales during holiday peaks."

02 / The Solution

A multi-layered
technical infrastructure.

We migrated the search logic to a distributed GraphQL layer with Redis caching. We also introduced an event-driven inventory system that prevented overselling under high concurrency.

Next.js
Tailwind
Nest JS
MongoDB
Redis

Outcome & Impact

Handled Black Friday traffic spike of 50k users
Increased mobile conversion rate by 25%
Implemented real-time inventory syncing across 5 regions

Key Benchmarks

Search Speed
<150ms
Concurrency
50k users
Uptime
99.99%
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