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JoinAffix - Web Engineering
Web ApplicationsIndustry: Logistics & Supply Chain

Real-Time Fleet Telemetry & Dispatch Platform

Client: FreightCore Logistics (Mid-Market Freight Operator)

Rebuilding a fragmented legacy dispatch system into a reactive Next.js 15 application with real-time GPS tracking, automated driver assignments, and automated invoice reconciliation.

Real-Time Fleet Telemetry & Dispatch Platform
94%
Reduction in Dispatch Latency
0 min
Downtime during 24/7 Migration
4.2x
Faster Load Assignment Throughput
The Challenge & Context

The Problem

FreightCore managed over 250 freight vehicles across three states. Their legacy web dispatch tool suffered from frequent race conditions, 8-second page refresh cycles, and synchronization conflicts that caused double-booking of loads and frustrated dispatch operators.

Project Constraints

Key Constraints

  • Zero downtime permissible during transition as dispatch operates 24/7/365
  • Must interface with legacy telematics hardware protocols and existing accounting systems
  • Mobile dispatchers required low-bandwidth operational support on cellular connections
Solution Architecture

Technical Approach & Execution

Architected a modern event-driven application using Next.js App Router, TypeScript, and a high-throughput PostgreSQL database with Redis Pub/Sub for sub-100ms fleet location updates.

Phase 01

Real-Time Telemetry Pipeline

Implemented a WebSocket ingestion worker backed by Redis that broadcasts vehicle telematics to dispatcher maps with zero perceptible latency.

Phase 02

Optimistic UI Updates & Offline Buffer

Equipped the dispatcher frontend with optimistic mutations, ensuring instantaneous UI feedback even when cellular signals dip.

Phase 03

Automated Billing & Invoice Generation

Built background workers that calculate mileage, tolls, and detention time, auto-generating PDF invoices directly to customer portals.

Infrastructure Topology

Cloud & Deployment

  • Next.js on Docker containers
  • PostgreSQL on AWS RDS with connection pooling
  • Redis Cluster for pub/sub telemetry streams
  • Automated GitHub Actions CI/CD
Technology Stack

Tools & Languages

Next.jsTypeScriptPostgreSQLRedisDockerAWSTailwind CSS

Key Engineering Lessons Learned:

  • Decoupling telemetry ingestion from the presentation layer eliminated server-side bottlenecks
  • Clean TypeScript interfaces across the entire pipeline prevented data drift between backend and maps

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