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Custom Transportation Management System (TMS) Development for Logistics Automation

wezom

Logistics

Business services

Information technology

Challenges in Manual Logistics Operations

The client faces inefficiencies from manual processes using spreadsheets and messaging apps for cargo dispatching and driver communication. Existing off-the-shelf TMS solutions lack flexibility for their complex workflows, causing synchronization issues and operational delays.

About the Client

A US-based cargo transportation provider specializing in logistics solutions, seeking digital transformation of their operations through automated systems.

Objectives for Custom TMS Development

Automate and synchronize cross-departmental business processes
Develop a web application for centralized management
Create a mobile app for drivers with document scanning capabilities
Integrate third-party tools (fuel systems, toll services, Logbook) into a unified ecosystem
Implement role-based access control for sensitive data

Core System Functionalities

Web-based management dashboard for dispatching and tracking
Driver mobile app with document scanning (BOL, DOT reports)
Role-based access control for accounting, safety, and supply chain departments
Automated payroll processing based on vehicle ownership type
Real-time synchronization with fuel/toll systems and Logbook

Technology Stack Preferences

Flutter for cross-platform mobile development

Native Android/iOS modules for document scanning optimization

Agile/Scrum methodology with weekly client collaboration

Third-Party System Integrations

Fuel management systems
Toll payment services
Electronic Logbook (ELD) compliance tools

Non-Functional Requirements

Scalable architecture for growing fleet operations
High availability with 99.9% uptime SLA
End-to-end data encryption for compliance
Intuitive UI/UX for field workers with minimal training

Expected Business Impact of Custom TMS Implementation

The solution will reduce manual administrative work by 60%, enable real-time logistics tracking, and improve operational synchronization across departments. Automated payroll and document processing will decrease human errors by 75% while supporting scalable growth through integrated third-party systems.