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Development of Intelligent Logistics Optimization Platform
  1. case
  2. Development of Intelligent Logistics Optimization Platform

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Development of Intelligent Logistics Optimization Platform

vokke.com.au
Logistics
Information technology
Environmental Services

Current Challenges in Modern Logistics Operations

Inefficient route planning leading to increased fuel consumption, lack of real-time cargo tracking capabilities, and difficulty maintaining sustainability metrics across complex supply chains.

About the Client

A logistics technology company specializing in AI-driven supply chain solutions and sustainable transportation systems

Strategic Implementation Goals

  • Implement AI-powered route optimization algorithms
  • Develop real-time asset tracking with IoT integration
  • Create sustainability performance dashboards
  • Establish seamless integration with existing ERP systems

Core System Capabilities

  • Dynamic route optimization engine
  • Real-time GPS tracking with geofencing
  • Carbon footprint monitoring dashboard
  • Predictive maintenance scheduling
  • Multi-modal transportation planning

Technology Stack Requirements

Python
TensorFlow
AWS IoT Core
React.js
PostgreSQL

System Integration Needs

  • ERP systems (SAP/Oracle)
  • GPS fleet tracking APIs
  • Third-party logistics APIs

Operational Requirements

  • 99.9% system availability
  • Real-time processing latency <200ms
  • ISO 27001 compliance
  • Horizontal scalability to 10M+ transactions/day

Anticipated Business Outcomes

Projected 25% reduction in fuel costs through optimized routing, 40% improvement in delivery time accuracy, and 15% decrease in overall carbon emissions within the first year of implementation.

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