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Custom Freight Management System Development for Logistics Optimization
  1. case
  2. Custom Freight Management System Development for Logistics Optimization

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Custom Freight Management System Development for Logistics Optimization

saritasa.com
Logistics
Transportation
Supply Chain Management

Current Manual Processes Hindering Operational Efficiency

The organization faces significant inefficiencies due to manual data entry across multiple spreadsheets and outdated systems. Critical challenges include time-consuming manual tracking of rail shipments, error-prone coordination of cargo pickups, and excessive administrative overhead in invoicing processes (10 hours/day reduced to 3-4 hours post-implementation). Scaling operations have exacerbated these workflow bottlenecks.

About the Client

Premier intermodal, regional, and long-haul trucking company operating a fleet of 250+ trucks with operations across multiple US locations

Strategic Objectives for Operational Transformation

  • Automate manual data entry processes across multiple railway systems
  • Reduce administrative time spent on invoicing by 70%
  • Implement intelligent routing algorithms for optimized cargo assignments
  • Centralize real-time shipment tracking and status updates
  • Enable staff reallocation to higher-value tasks through process automation

Core System Functionalities

  • Multi-railway API integration for automated shipment data ingestion
  • AI-powered routing algorithms for optimized cargo pickup assignments
  • Cloud-based web dispatch system with role-based access
  • Automated invoicing and notification workflows
  • Real-time shipment tracking dashboard with terminal status updates
  • Customizable reporting module for operational analytics

Technology Stack Requirements

Python
Cloud Database (AWS/Azure)
RESTful API Framework
Frontend Dashboard (React/Django)

External System Integrations

  • Major railway APIs (BNSF/UP/CSX)
  • Existing backoffice systems
  • GPS tracking hardware interfaces

System Quality Attributes

  • Horizontal scalability for fleet growth
  • 99.9% system uptime SLA
  • Role-based access control (RBAC)
  • Data encryption at rest/transit
  • Real-time performance monitoring

Anticipated Business Outcomes

Implementation of this custom solution is projected to yield 60-70% reduction in administrative overhead, enabling reallocation of 2-3 full-time employees to revenue-generating activities annually. Automated data ingestion will eliminate 95% of manual entry errors while improving shipment tracking accuracy. The intelligent routing system is expected to optimize fleet utilization by 25%, directly increasing operational profitability through reduced idle time and fuel efficiency gains.

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