AI-Driven Automation Streamlines Freightliner Terminal Operations and Boosts Logistics Efficiency

Freightliner terminal enhances efficiency by integrating AI-driven automation with Intermodal Pro, reducing manual tasks and errors. This boosts throughput and speeds up rail transport coordination.

Categorized in: AI News Management
Published on: Jun 17, 2025
AI-Driven Automation Streamlines Freightliner Terminal Operations and Boosts Logistics Efficiency

AI Solutions Modernize Freightliner Terminal

Freightliner terminal has significantly improved its transport management and logistics accuracy through the adoption of AI-driven digital process automation. This modernization effort enhances operational efficiency by reducing manual tasks and errors.

Integration of Intermodal Pro with AI Solutions

U.S.-based Tideworks Technology upgraded its Intermodal Pro system, used at Freightliner—a leading UK freight operator. Intermodal Pro supports real-time rail transport planning and coordination. Notably, three of the six Class I railroads in the U.S. rely on this system.

In June 2025, Tideworks completed the integration of Intermodal Pro with a low-code automation platform developed by Decision, a U.S. company. This integration marks a key advancement in Freightliner’s digital transformation journey.

AI Solutions Reduce Costs and Accelerate Logistics

The Decision platform enables the creation of AI-powered business applications, including tools like OpenAI’s ChatGPT. This adaptability allows operators to quickly customize solutions for specific logistics challenges.

Enhanced API functionality transfers planned operation data in real time to the Decision platform, where it is processed according to terminal-specific parameters. This reduces manual data entry, speeds up documentation workflows, and lowers the risk of errors during transport processing.

As a result, Freightliner benefits from increased terminal throughput and improved infrastructure efficiency. The company’s investment in digital technologies transforms its logistics into a precise, predictable, and economically efficient system.

  • Key Benefits:
    • Real-time rail transport coordination
    • Reduced manual input and errors
    • Faster documentation workflows
    • Improved terminal throughput
    • Greater operational efficiency

For management professionals interested in AI-driven logistics solutions, exploring digital process automation platforms and AI tools is essential for optimizing transport operations. Learn more about practical AI applications and training opportunities at Complete AI Training.


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