Tucker AI

Tucker AI is a comprehensive logistics management application designed to streamline freight operations across the trucking industry. The app serves as a unified platform connecting drivers, carriers, and brokers through intelligent load tracking and seamless communication.
Key Features:
Real-Time Load Tracking & Monitoring:
Live GPS tracking with accurate delivery ETAs and route optimization
Real-time location sharing and automatic status updates
Interactive maps showing driver positions and delivery routes
Automated stop alerts and delivery notifications
Support for tracking multiple loads simultaneously
Multi-Role Platform:
For Drivers: Access load details, receive navigation guidance, upload delivery documents, and update load status
For Carriers: Manage entire fleets, assign loads to drivers, monitor real-time progress, and track performance analytics
For Brokers: Create and assign loads, track deliveries, communicate with drivers and carriers, and provide client updates
Document Management:
Easy document upload using camera or file selection
PDF viewing and sharing capabilities
QR code generation for quick load identification
Cloud-based document storage and retrieval
Communication & Updates:
Automated team notifications and status updates
Real-time messaging between stakeholders
Delivery confirmations and proof of delivery
Customizable update preferences and alerts
Load Management:
Quick load setup and assignment
Load history and tracking records
Delivery scheduling and route planning
Performance metrics and reporting
The app eliminates manual coordination processes, reduces communication gaps, and provides complete visibility into freight operations from pickup to final delivery, making it an essential tool for modern trucking and logistics management.

All Driver and Carrier plans start at $29.99/mo/seat. These prices are for United States and may vary for other countries.

Privacy Policy: https://www.cloudtrucker.ai/privacy-policy
Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/