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Development of Automated Vessel Route Scheduling Web Application

n-ix.com

Logistics

Transportation

Supply Chain Management

Inefficiencies in Manual Route Scheduling

Existing route scheduling processes rely on outdated Oracle forms requiring significant manual effort, leading to time-consuming operations (1-hour average per schedule), frequent human errors, and limited customization capabilities. Legacy systems hinder scalability and real-time visibility into vessel operations.

About the Client

International shipping company operating a global network of shipping routes and logistics centers, specializing in container shipping and cargo transportation.

Operational Efficiency Transformation

Automate vessel route scheduling to eliminate manual processes
Reduce scheduling time from 60 minutes to 10 minutes per vessel
Implement error-proof scheduling mechanisms
Enable real-time reporting and analytics capabilities
Establish role-based access control for enhanced security

Core System Capabilities

Automated scheduling management for ship lines and individual vessels
Coastal scheduling functionality for regional operations
Pro forma template system for recurring schedules
Multi-format reporting (Excel/PDF) with 30-second generation capability
Role-based user permission hierarchy (Admins/Area Coordinators)

Technology Stack Requirements

React

Kotlin

Cloud Foundry

Kubernetes

System Integration Needs

Existing port database systems
Vessel tracking APIs
Enterprise resource planning (ERP) platform

Operational Requirements

Horizontal scalability for global operations
99.9% system uptime SLA
Role-based access control with audit logging
Sub-1-minute report generation performance
Cross-browser compatibility with modern web standards

Operational Efficiency Gains

Expected reduction of manual scheduling effort by 83% (from 60 to 10 minutes), elimination of human error in schedule creation, and 30-second report generation enabling real-time decision-making. Cloud-native architecture ensures 300% greater system scalability compared to legacy infrastructure.