Real-time Logistics Dashboard
Handles 5,000+ daily operations and ~1,000 concurrent users with real-time data visualization.
Overview
A real-time operations dashboard handling over 5,000 daily operations for roughly 1,000 concurrent users. Live asset positions stream in over Socket.io and are visualised with D3.js, alongside a built-in predictive analytics view and a real-time chat channel between customers and the company. Data latency dropped by 60%.
Problem
Operations teams were making decisions on stale data. At 5,000+ daily operations and roughly 1,000 concurrent users, polling could not keep the picture current, and customers had no direct line to the company from inside the product.
Approach
Moved live asset positions onto Socket.io streams and visualised them with D3.js, with TanStack Query owning server state so the interface never re-fetched what it already had. A predictive analytics view sits on the same stream, as does a real-time chat channel between customers and the company.
Result
Data latency fell 60%, 5,000+ assets are tracked live, and roughly 1,000 concurrent users now work from the same current picture instead of their own stale copies.
Impact
60%
reduction in data latency
5k+
Real-time tracking of 5k+ assets
Built-in predictive analytics view
Built a real-time chat between customers and company