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Development of a Scalable SaaS Transportation Management System (TMS) for Logistics Operations

wezom

Logistics

Challenges in Logistics Process Automation

The client required a SaaS TMS to replace manual logistics workflows, reduce operational costs, and compete with existing solutions like SuperDispatch. Key challenges included mapping complex business processes for automation, integrating role-based interactions (drivers/dispatchers), and ensuring scalability for multi-tenant use.

About the Client

A US-based logistics company established in 2003 seeking to digitize and optimize cargo transportation processes with a cost-effective SaaS solution

Objectives for the SaaS TMS Development

Create a customizable end-to-end TMS automating cargo transportation lifecycle
Enable seamless order management from brokers to drivers with real-time tracking
Implement an admin panel for monitoring operations and generating delivery reports
Achieve 40%+ reduction in unloading times and 15%+ operational cost savings

Core System Functionalities

Order management with broker-to-driver assignment
Real-time cargo tracking and status updates
Driver damage reporting functionality
Multi-tenant admin dashboard for process control
Route optimization tools for dispatchers
Automated delivery acceptance documentation

Technology Stack Requirements

PHP for backend development

React.js for frontend interfaces

AWS cloud infrastructure

Docker/Kubernetes for containerization

Mobile app development for driver access

System Integration Needs

GPS tracking APIs for real-time location monitoring
Third-party broker APIs for order synchronization
Electronic logging device (ELD) integrations

Non-Functional Requirements

Support for 10,000+ concurrent users
99.9% system uptime SLA
Role-based access control (RBAC)
Response time under 2 seconds for core operations

Expected Business Impact of the SaaS TMS

Projected 19.5% reduction in operational costs through process automation, 41% decrease in unloading times at delivery points, and 3x reduction in delivery overruns. The solution will achieve ROI within 12 months while offering 30%+ cost savings compared to market competitors.