Logistaas launches AI tool to automate shipment document data entry
New feature reads air waybills and files, reduces manual work, enables translation and feeds data directly into the TMS.
Logistaas has introduced a new AI-powered document reading feature within its transport management system to automate data entry for freight forwarders handling large volumes of shipment paperwork.
The tool uses optical character recognition and an AI engine, powered by Logistaas’ AI agent Averroes, to read complex shipping documents and extract data directly into the relevant shipment record, removing the need for manual input.
According to the company, the AI model has been trained over the past year on real-world shipping documents, which often vary widely in format across carriers, shippers and agents.
“Freight forwarders spend significant time entering information from documents they receive throughout the shipment lifecycle,” said Kareem Naouri, co-founder and chief executive officer of Logistaas. “This is exactly the kind of repetitive, costly task that AI can handle more reliably and at greater speed.”
With the new feature, users can upload documents such as air waybills and related shipment files. The system then automatically reads and fills in the required fields within the transport management system, with the ability to translate to and from any language.
Naouri said the main challenge was training the AI to correctly interpret documents that differ widely in layout and terminology. He added that using real industry documents helped ensure consistent performance at a level required by freight forwarders.
The launch marks the first phase of Logistaas’ broader AI strategy. The company is developing a second AI tool to analyse shipment data and identify potential compliance issues based on route and destination requirements.
Logistaas also plans to introduce AI-powered customer support alongside the next feature to provide users with on-demand assistance for queries and issues.
