Case Study: Day & Ross achieves faster, more accurate document processing with Pythian AI automation

Day & Ross cuts driver dwell times by 92% with Pythian

Day & Ross, a logistics leader, faced significant operational challenges due to manual document processing. Inconsistent formats, including handwritten notes, caused freight backlogs, high driver dwell times, and scaling constraints. To overcome this, they partnered with vendor Pythian to implement an AI automation solution leveraging Google Cloud and Gemini 1.5 Pro.

Pythian's solution automated data extraction from documents like bills of lading, integrating it directly into the transportation management system. This provided real-time data visibility, drastically improving speed and accuracy. The results included processing 120 documents per minute with 99% accuracy, reducing driver dwell times by 92%, and reclaiming millions in operational efficiency, while establishing a scalable framework for future AI innovations.

Day & Ross