Priya Subramaniam

Document processing determines how much freight automation actually works.

How hidden choices in building ground truth datasets mask the real causes of extraction failures.

External state management, not bigger models, fixes multi-page document reasoning in production.

Schema design matters more than model choice for extraction accuracy past a few dozen fields.

System design, not model quality, determines whether document pipelines hold up in production.

Structured tool-calling architecture beats monolithic LLM prompts for production document workflows.

Fixing blurry, skewed, or damaged scans beats upgrading the OCR engine itself.