Real-Time Fleet Telemetry & Dispatch Platform
Client: FreightCore Logistics (Mid-Market Freight Operator) · Industry: Logistics & Supply Chain
Rebuilding a fragmented legacy dispatch system into a reactive Next.js application with real-time GPS tracking, automated driver assignments, and automated invoice reconciliation.
Confidentiality Notice: Client branding and proprietary domain names are protected under mutual non-disclosure agreements. Architectural diagrams, code patterns, and performance metrics displayed below are authentic records extracted from the live production build.
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.
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
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.
Real-Time Telemetry Pipeline
Implemented a WebSocket ingestion worker backed by Redis that broadcasts vehicle telematics to dispatcher maps with zero perceptible latency.
Optimistic UI Updates & Offline Buffer
Equipped the dispatcher front-end with optimistic mutations, ensuring instantaneous UI feedback even when cellular signals dip.
Automated Billing & Invoice Generation
Built background workers that calculate mileage, tolls, and detention time, auto-generating PDF invoices directly to customer portals.
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
Tools & Languages
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 back-end and maps
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