We successfully deployed an AI-powered document processing system for a leading multimodal transportation provider
A multimodal transportation service provider faced mounting inefficiencies with its technical documentation. Manual extraction of specifications from complex drawings slowed projects and introduced costly errors. Multilingual files in French, German, and English created communication barriers and workflow delays. With over 1.2M legacy image-only scanned PDFs, retrieving information was nearly impossible.
We implemented an AI-powered document processing system to automate workflows and reduce errors. Advanced OCR with 99%+ accuracy digitized technical drawings, while integrated translation handled multilingual content seamlessly. Smart extraction captured specifications, dimensions, and component data automatically.
All legacy PDFs were converted into searchable, text-based files and indexed for faster retrieval. A comparative analysis tool enabled diagram cross-checking, and a centralized drawing management system further ensured structured, accessible, and duplicate-free storage.
The transformation delivered measurable improvements: a 90% reduction in processing and retrieval time, 99.2% accuracy in content extraction, and 75% faster responses to quotations and inquiries. Every document in the repository became fully searchable. Standardized QA sheets enhanced compliance and inspections. The business impact was equally strong—projects were delivered faster, operational costs were reduced, and multilingual teams collaborated more effectively. Transparency in pricing and streamlined QA workflows further strengthened efficiency across regions.
