Case Study
Rebuilt a working but brittle e-commerce platform that had outgrown its first version. New architecture handles multi-tenancy, structured catalog data, and a deployment pipeline that ships every day.
Outcome
6 wks
Rebuild to production
3.4×
Faster page loads
p95 LCP
0
Tenant data leaks
since rebuild
Daily
Deploy cadence
previously bi-weekly
Architecture
The Problem
The first version shipped in a weekend hackathon and survived 18 months of feature additions before the data model and deploy pipeline started fighting the team.
Onboarding a new tenant took three engineering hours of manual config and the storefront p95 LCP was over six seconds on real devices.
Our Approach
We replaced the data model with a tenant-isolated schema and a catalog service that serves both the storefront and an internal admin.
Storefronts now render server-side with cache rules per tenant and aggressive image optimization — the LCP target was set in week one and held throughout the build.
CI runs full test + preview deploys on every PR. Daily deploys to production became the default, not the exception.
The Outcome
p95 LCP dropped from 6.1s to 1.8s on real-user devices.
Tenant onboarding moved from hours of manual work to a self-serve flow that finishes in under five minutes.
The team ships daily with confidence, instead of a bi-weekly merge-night.
Tech Stack
Want a similar outcome?
A 20-minute conversation is enough to surface scope creep, architecture risk, and the fastest path to production.
More case studies
Document Automation
Replaced manual PDF review with an OCR + extraction + validation pipeline. Engagement shipped in 18 days with a human-in-the-loop review queue and structured outputs feeding downstream systems.
AI Knowledge System
Designed and built a retrieval system on top of internal SOPs, runbooks, and Slack archives so support and operations teams could get correct answers without crawling Confluence.
