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Enterprise-Grade Route Optimization Platform with Real-Time Capabilities
  1. case
  2. Enterprise-Grade Route Optimization Platform with Real-Time Capabilities

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Enterprise-Grade Route Optimization Platform with Real-Time Capabilities

profil-software.com
Logistics
Environmental Services
Information technology

Enterprise Scalability and Feature Enhancement Requirements

Existing MVP lacked enterprise-grade features and scalability to support growing client demands for advanced route optimization, real-time tracking, and multi-platform deployment while maintaining environmental impact reductions.

About the Client

Provider of AI-powered route optimization solutions for enterprise vehicle fleets

Operational Efficiency and Sustainability Goals

  • Reduce fleet driving time by 30%
  • Achieve 10x faster route planning
  • Minimize CO₂ emissions through optimized routing
  • Support enterprise-scale deployment with 207k+ kg annual CO₂ savings potential

Core System Functionalities

  • Dynamic map-based drag-and-drop route adjustments
  • Real-time driver tracking with WebSocket updates
  • Scenario-based planning for multi-wave dispatching
  • Timeline interface with ETA impact visualization
  • Cross-platform mobile application for field operations

Technology Stack Requirements

WebSockets for real-time communication
React/Node.js for frontend/backend
Kubernetes for container orchestration
PostgreSQL for spatial data management
Python for algorithm development

System Integration Needs

  • Vehicle telematics systems
  • Mapping APIs (Google/Mapbox)
  • Enterprise HR systems
  • Fleet maintenance platforms
  • Environmental impact calculators

Operational Requirements

  • Horizontal scalability for 10k+ concurrent users
  • Sub-second response times for route calculations
  • 99.99% system availability SLA
  • GDPR-compliant data handling
  • Multi-tenancy architecture support

Business Value Projections

Implementation will deliver 30% reduction in fleet operational costs, 10x acceleration in planning efficiency, and significant environmental impact reduction through optimized routing algorithms and resource utilization.

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