Autonomous Document Controls Global Logistics Firm
Automating the classification and extraction of data from millions of shipping documents.
2M+
Documents/Month
99.8%
Accuracy
-85%
Manual Effort
< 2s
Processing Time
Buried in Paperwork
A global logistics giant was manually processing millions of shipping documents annually. This labor-intensive process was prone to errors, leading to payment delays and customer dissatisfaction. They needed a solution to automate this workflow without disrupting their existing operations.
We implemented an end-to-end AI document processing solution. The system automatically ingests documents from emails and scanners, classifies them, and extracts critical data points with near-human accuracy.
Automated Control Pipeline
We deployed a custom Large Language Model (LLM) pipeline to understand, classify, and extract structured data from unstructured documents.
Optical Character Recognition
Utilized state-of-the-art OCR to digitize handwritten and printed text from scanned invoices and bills of lading.
Semantic Understanding
Trained a fine-tuned transformer model to understand the context of each document and extract key fields like dates, amounts, and addresses.
ERP Integration
Seamlessly integrated the extracted data into the client's SAP system, triggering automated workflows and payments.
Streamlined Operations
The impact was transformative. The client reduced their manual data entry team by 85%, reallocating staff to higher-value customer service roles. Processing time for a single shipment dropped from 20 minutes to under 2 seconds, significantly improving cash flow and operational efficiency.
