Case Study · 2024
E-Commerce Dashboard
Real-time analytics for online retailers
Overview
A modular analytics dashboard that gives store owners a real-time view of revenue, conversion funnels, inventory health, and customer cohorts. Built for teams managing thousands of SKUs across multiple storefronts.
The Challenge
The legacy admin loaded over 4 MB of JS on first paint and froze the UI thread while rendering large tables. The team needed sub-second interactions on mid-range laptops without sacrificing the depth of data displayed.
The Solution
I redesigned the information architecture around progressive disclosure, introduced virtualized tables and route-level code-splitting, and replaced ad-hoc fetching with a typed query layer. Charts stream data through WebSockets so dashboards stay live without manual refreshes.
Key Features
- Real-time revenue and order streaming via WebSockets
- Virtualized tables handling 100k+ rows smoothly
- Role-based access for owners, managers, and analysts
- Light/dark themes with fully tokenized design system
- Exportable reports (CSV, PDF) generated server-side
Results
- First contentful paint reduced from 3.8s to 0.9s
- JS bundle reduced by 62% via code-splitting
- Daily active users grew 38% after release