How to quickly organize shipping records using AI

AI can automate and accelerate shipping record organization by processing unstructured data from documents and systems. This replaces manual compilation with intelligent extraction and sorting.

AI employs natural language processing and machine learning to automatically identify and capture key details like tracking numbers, dates, items, costs, and destinations from bills of lading, invoices, emails, and carrier tracking sites. Prerequisites include having digital records and integrating AI tools with existing logistics platforms. Consistent data quality checks are essential, as AI accuracy relies heavily on input data clarity. Ensure your solution handles common shipping formats and integrates with your ERP or TMS.

Select an AI data extraction tool suited for logistics. Integrate it with your document sources and shipment tracking systems. Train the AI on your specific record types and validate initial outputs. Once configured, AI continuously ingests documents, extracts structured data, updates databases, and flags discrepancies. This enables real-time tracking visibility, automated audit trails, trend analysis, and faster dispute resolution, significantly reducing manual effort and errors.