AI-Powered Freight Invoicing: Automating Document Processing in Logistics

Document processing is one of the most persistent operational drags in freight brokerage — high volume, error-prone, time-consuming, and difficult to scale. Marcus Cooksey built DUKE.ai to change that. In this episode of The Journey Podcast, Will Jenkins sits down with Marcus, CEO and founder of DUKE.ai, to talk about what AI-powered document processing actually looks like in freight and how he got there.

Marcus shares a personal story first: a challenging upbringing, the cultural influences that shaped his ambition, and the path through education and early career that eventually landed him at Texas Instruments, where he developed a deep understanding of how technology can transform operational processes at scale. He talks about his entrepreneurial ventures in the trucking industry and how those experiences pointed him toward the document processing problem that became DUKE.ai.

The conversation gets into what DUKE.ai does in practical terms — how it processes freight invoices, bills of lading, rate confirmations, and other logistics documents through AI, and what that means for freight brokerages in terms of speed, accuracy, and the ability to scale without proportional headcount growth. Marcus is clear-eyed about where the technology works well and where it requires human judgment, and honest about the implementation challenges that freight organizations should expect.

For freight brokers and logistics operators evaluating AI solutions, this episode is a grounded look at what the technology actually delivers today.

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