Data Scientist, Forto · LinkedIn

Osman Demirel is a data scientist at Forto, a Berlin-based digital freight forwarder valued at $2.1 billion with 900+ employees across 21 locations in Europe and Asia. He contributes to idp-software.com from the perspective of building and deploying document processing systems in production logistics environments.

Forto's AI team -150+ tech innovators working alongside 200+ logistics professionals -developed LumoDoc, an AI-powered intelligent document processing platform built specifically for the logistics industry. LumoDoc categorizes inbound logistics documents including bills of lading, customs declarations, commercial invoices, packing lists, and booking confirmations, then extracts structured data and syncs it into downstream TMS, ERP, and WMS systems. The platform reports 95%+ accuracy across 15+ document types and up to 90% efficiency gains over manual processing.

In production, Forto's document processing system handles 1,000+ documents daily, extracting 50,000+ data points with no human intervention using a combination of generative AI, computer vision, fuzzy matching, and RPA. LumoDoc was made available to the broader logistics market in October 2025 through FortoLabs, Forto's AI-native SaaS platform that commercializes internally developed tools for external customers.

Osman's contribution to idp-software.com reflects firsthand experience with document processing at logistics scale -where document variability, multilingual content, and integration with legacy trade systems create challenges distinct from other IDP verticals.

Contributions

Osman contributes to idp-software.com with deep expertise in building and deploying intelligent document processing systems at scale. His work focuses on the unique technical and operational challenges of document automation in logistics and supply chain environments, where document diversity, multilingual content, and legacy system integration are critical concerns.

  • LumoDoc Vendor Profile: Osman's analysis covers LumoDoc's architecture, accuracy metrics across document categories, integration patterns with enterprise TMS and ERP systems, and practical deployment considerations for high-volume document processing workflows in freight forwarding operations.