Logistics & Supply Chain · Mobile Telemetry & Cloud · Sample Client Implementation

Real-Time Fleet Telemetry & Dispatch Optimization.

How Decodrz Technologies created a unified IoT telemetry ingestion engine and driver mobile application tracking over 1,200 heavy freight vehicles across multimodal transit routes.

The Business Challenge

Disconnected Telemetry & Blind Transit Hours

A regional freight and intermodal carrier operated 1,200+ Class 8 tractor-trailers across three countries. Dispatchers relied on delayed legacy GPS hardware that reported coordinates only once every 15 minutes, with cellular dead-zones resulting in hour-long data blackouts.

Dispatchers struggled to provide accurate delivery ETAs to freight customers, rerouting decisions took over 40 minutes per incident, and paper-based proof-of-delivery (POD) signoffs delayed invoicing by up to 12 days after unload.

Project Objectives

Target Performance Milestones

  • 1. Sub-10-Second Telemetry Sync Stream live coordinate, speed, and engine diagnostic alerts directly to the centralized operations board with offline store-and-forward capability.
  • 2. Offline-First Driver Mobile Application Empower drivers to accept turn-by-turn routes, capture digital barcode scans, and record customer signatures even in dead-zone distribution docks.
  • 3. Automated Dynamic Re-Routing Incorporate live road congestion and weather feeds to recalculate ETAs and alert customers automatically.
Technical Solution

Engineering Architecture & Implementation

Decodrz Technologies architected a high-concurrency ingestion pipeline using Go microservices and an in-memory Redis geospatial pub/sub cluster, capable of processing up to 25,000 telemetry pings per second with sub-50ms latency.

For the driver workforce, we engineered a performant cross-platform mobile application using Flutter with an embedded SQLite database. The app continuously tracks GPS sensor bursts locally, buffers cryptographic payloads during cellular drops, and automatically backfills telemetry upon link reconnection.

Verified Outcomes

Measurable Business Results

38%
Decrease in Dispatch Idle Time Rapid response to loading dock congestion
1,200+
Active Trucks Online Zero packet loss recorded across 2.4M daily GPS pings

*Note: Metrics presented reflect sample architecture benchmarks for technical planning purposes.

Project Metadata

Industry Manufacturing & Logistics
Delivery Timeline 16 Weeks (Agile Sprints)
Core Technology Stack
  • • Go (Golang) Microservices
  • • Flutter (iOS & Android)
  • • Redis Geospatial Pub/Sub
  • • PostgreSQL & TimescaleDB
  • • AWS ECS, Kafka & MQTT Broker

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