Logistaas has introduced a new document reading feature within its transport management system (TMS) powered by artificial intelligence (AI), expanding its use of automation to support freight forwarders dealing with high volumes of operational paperwork.
The tool uses optical character recognition (OCR) and an AI engine, powered by Logistaas’ AI agent, Averroes, trained on complex shipping documents to extract and import data directly into the corresponding shipment record, removing the need for manual input.
Documents that can often be inconsistent in format across carriers, shippers, and agents formed the basis of the training model developed by Logistaas over the past year.
Kareem Naouri, Co-Founder and Chief Executive Officer, Logistaas, said: “Freight forwarders spend significant time entering information from documents they receive throughout the shipment lifecycle.
“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, allowing the system to automatically read and populate the required fields within the TMS, with translation to and from any language.
Naouri added: “The challenge in developing this tool wasn’t just the technology; it was teaching the AI to correctly interpret documents that differ widely in layout and terminology.
“By focusing on real-world documents collected across the industry, we were able to train a model that performs consistently at the level freight forwarders need.”