Explore Logistics Automation
Glossary Terms

Handle the changing environment of logistics automation with confidence. Our comprehensive glossary simplifies technical terms and offers precise definitions to help you prepare your company for the future. Learn the language that promotes efficiency and creativity, from the basics of automation to more complex ideas.

Data Extraction Automation

Last updated: August 4, 2025
Logistics Automation
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Data Extraction RPA and AI refer to the use of Robotic Process Automation to pull critical information from unstructured logistics documents, such as invoices, bills of lading, delivery notes, and customs declarations. These documents are often received in PDFs, scanned images, or emails, and manual data entry is both slow and prone to errors. AI and RPA bots automate this task, reducing operational burden and boosting accuracy.

How Data Extraction, RPA, and AI Work?

AI and RPA bots are trained to mimic human interactions with digital content. When a document is received via email, upload, or scanned copy, the bot uses OCR (Optical Character Recognition) to identify key data fields like dates, tracking numbers, item descriptions, and amounts. It then transfers this information into the logistics ERP, such as CargoWise, based on predefined rules. The bot can also flag missing data, duplicates, or inconsistencies for review. Over time, machine learning enhancements help refine extraction accuracy, especially with diverse layouts and formats.

Key Benefits for Logistics & Operations Teams

Data Accuracy at Scale

By extracting data automatically and consistently, RPA minimizes errors common in manual entry, improving invoice accuracy, shipment records, and regulatory compliance.

Faster Turnaround Times

What would take hours by hand, such as processing dozens of customs forms or supplier invoices, is completed in minutes, accelerating supply chain workflows.

System-wide Visibility

Once captured, the data is immediately available in ERP dashboards, giving teams full visibility into inventory, billing, and shipment activities in real-time.

Reduced Manual Intervention

Teams no longer need to chase paperwork or manually input redundant fields. RPA handles repetitive work, allowing staff to focus on exceptions and higher-value tasks.

Conclusion

Data Extraction RPA transforms how logistics companies handle document-heavy processes. By eliminating the need for manual data entry, it improves both speed and accuracy across the board. Integrated with platforms like CargoWise, it ensures that critical information flows smoothly from documents to systems, making operations more efficient, reliable, and ready to scale.