A leading logistics company in the U.S. faced big-time challenges in customs clearance and financial reconciliation due to inconsistent and complex formatting of commercial invoices. These invoices often came in dense, tabular data with critical details such as container numbers and shipment information that were scattered across different formats. The company struggled to manually enter data, which was not only labor-intensive but also left behind errors, causing delays and increasing operational costs.
To address this situation, the company partnered with us to deploy the AI-driven Cognitive Data Extractor (CDE) to automate commercial invoice processing. CDE was a custom-trained invoice parser and was capable of identifying and extracting key data from varied invoice formats. The system was engineered to accurately extract line-item details, container numbers, container types, and shipment specifics across a wide range of formats. It featured advanced capabilities, including tabular OCR for structured data, contextualizing information using headers and footers, and ensuring data integrity through numeric field validation.
The implementation of CDE led to a 92% field-level accuracy rate, significantly reducing the dependency on manual data entry by 70%. CDE now processes over 30,000 invoices monthly, improving customs documentation workflows and shipment traceability. As a result, the company experienced enhanced operational efficiency, more accurate financial reporting, and faster customs clearance times.
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