Logistics service providers like Cargologic AG face a critical operational challenge: as shipment volumes grow, manual document processing becomes the bottleneck that constrains growth without hiring additional staff. Cargologic needed to unlock operational capacity while maintaining the accuracy that customs compliance demands. The solution: 85% of Freight Documents Processed Automatically in Under 6 Months became their competitive advantage.
The Client
Cargologic AG is a leading logistics service provider in the Swiss market, handling freight forwarding, customs brokerage, and supply chain services for clients across Central Europe. Their operations depend on the fast, accurate processing of hundreds of transport and customs documents every day.
The Challenge
Cargologic's customs processing team was drowning in paperwork. Every day, hundreds of freight documents arrived: CMR consignment notes, customs declarations, delivery notes, and bills of lading. Each required manual data entry into their transport management system. The consequences were tangible: processing delays held up shipments, transcription errors triggered costly customs penalties, and instead of handling exceptions and strategic decisions, experienced staff spent their days on repetitive data entry when they could be managing high-value work.
The operations team knew the problem was getting worse, not better. As shipment volumes grew, hiring more data entry staff was not a sustainable answer. Cargologic needed a fundamentally different approach.
Our Approach
Our consulting team began with a two-week document landscape analysis. We embedded with Cargologic's customs and operations teams to understand not just what documents they processed, but how they were processed: the handoffs, the exceptions, and the workarounds that had accumulated over years.
We mapped the full document lifecycle across their freight operations and identified six document types with the highest automation potential based on volume, standardization, and downstream impact. Rather than proposing a theoretical solution, we ran a proof of value using 400 real production documents from the previous quarter. This gave both teams hard data on expected accuracy, exception rates, and integration requirements before committing to a full build.
Based on the proof of value results, we designed a multi-agent architecture tailored to Cargologic's specific document mix and integration needs.
The Solution
We built a multi-agent processing system on our proprietary AI technology, purpose-designed for Cargologic's freight workflow:
- Classification agent: Automatically identifies incoming document types (CMR, customs declaration, delivery note, and three additional freight document categories) and routes them into the correct processing pipeline
- Extraction agent: Pulls structured data from each document: sender, recipient, goods descriptions, HS tariff codes, weight specifications, and reference numbers, trained specifically on the formats Cargologic encounters
- Validation agent: Cross-checks extracted data against existing order records in the TMS, flagging discrepancies for human review rather than letting errors propagate downstream
- Routing agent: Delivers validated data to the right team and system, ensuring customs declarations reach the brokerage team and delivery confirmations update shipment tracking
The system was deployed on-premise at Cargologic's facility to meet Swiss data sovereignty requirements, with a REST API connecting directly into their existing transport management system. No rip-and-replace. The AI layer fits into the infrastructure they already had.
The Results
Cargologic's customs team now focuses on exceptions and complex cases: the work that actually requires their expertise. Standard freight documents flow through automatically, and the operations team has the capacity to handle growing volumes without adding headcount.
Services Delivered
- AI Agents: Multi-agent system for classification, extraction, validation, and routing
- AI Advisory: Document landscape analysis, proof of value, and architecture design
- AI Enablement: Operations team training and handover for ongoing management