Transportation networks generate terabytes of unstructured data daily, from driver logs and maintenance records to dashcam footage and regulatory filings. Large language models are becoming the coordination layer that turns this noise into operational decisions, but the cost structure of traditional token-based inference can make long-document analysis and persistent agentic workflows economically impractical at scale. Oxlo.ai provides a request-based inference platform that flips this model, offering flat per-request pricing across 45+ open-source and proprietary models with full OpenAI SDK compatibility and no cold starts.
Logistics Documentation and Compliance
Global supply chains run on paper, or at least PDFs. Bills of lading, customs declarations, and DOT compliance reports often stretch across
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