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Real-Time Fleet Management Software with Route Optimization and Collision Avoidance

saritasa.com

Logistics

Manufacturing

Telecommunications

Operational Inefficiencies in Industrial Fleet Management

Large warehouses face productivity losses due to outdated fleet management systems, leading to increased operating costs, revenue loss, and safety risks. Existing solutions lack real-time visibility, route optimization, and proactive collision prevention capabilities.

About the Client

An Australian company with 50 years of industrial equipment expertise and 20 years in digitization, specializing in telematics solutions for global industrial fleets.

Key Goals for Fleet Management Modernization

Develop a real-time fleet tracking system with sub-meter accuracy
Implement AI-driven route optimization for warehouse logistics
Create collision avoidance mechanisms to reduce equipment downtime
Establish centralized admin control for fleet-wide monitoring
Integrate hardware-software ecosystem for seamless operations

Core System Capabilities

Admin dashboard with real-time machine location visualization
Beacon-based indoor positioning system (IPS)
AI-powered route optimization engine
Collision detection and hazard alert system
Firmware integration for hardware-software communication

Technology Stack Requirements

PostgreSQL for time-series data management

Sensor network protocol (LoRa/Bluetooth Mesh)

Real-time data processing framework

Edge computing for local decision-making

Cloud-based analytics platform

System Integration Needs

Hardware-software communication layer
Real-time data streaming API
Third-party maintenance scheduling tools
Enterprise reporting systems (Power BI/Tableau)
IoT device management platform

Performance and Scalability Expectations

Support for 10,000+ concurrent device connections
Sub-second latency for collision alerts
99.99% system uptime SLA
Role-based access control (RBAC)
Data encryption at rest and in transit

Anticipated Business Outcomes

Implementation of this system is expected to reduce fleet operating costs by 25-35%, decrease collision-related downtime by 60%, improve route efficiency by 40%, and enable data-driven maintenance scheduling, resulting in significant ROI for industrial operations.