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Expansion and Integration of Global IoT Telematics Platform

softwaremind.com

Logistics

Transportation and logistics

Information technology

Challenges in Platform Scalability and System Integration

The client required expansion of their IoT platform's capabilities while maintaining budget constraints, integration with an acquired telematics system, and enhancement of data processing efficiency from thousands of connected devices.

About the Client

Provider of smart telematics solutions for fleet management efficiency

Key Goals for Platform Development

Expand IoT platform reporting capabilities
Streamline data processing from heterogeneous machine sources
Implement machine safety verification features
Merge acquired telematics system with existing platform
Standardize user interface across integrated systems

Core System Enhancements

Enhanced reporting engine with customizable dashboards
Real-time data processing pipeline for heterogeneous device inputs
Machine safety verification workflow with alert system
Collision detection and route tracing algorithms
Unified UI/UX framework for merged platform components

Technology Stack Requirements

Angular

Google Cloud Platform (GCP)

IoT Core

Java

Spring Boot

Node.js

System Integration Needs

Legacy telematics system data migration framework
Third-party vehicle sensor APIs
Enterprise fleet management systems

Operational Requirements

Horizontal scalability for 100k+ connected devices
Sub-second latency for safety-critical alerts
Enterprise-grade data encryption at rest and in transit
99.99% platform uptime SLA

Expected Business Outcomes

Establishment of long-term partnership through platform modernization, 300% team scalability within 6 months, and creation of foundation for predictive maintenance capabilities, resulting in improved fleet operational efficiency and expanded market share in global logistics IoT solutions.