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.
“Freight forwarders spend significant time entering information from documents they receive throughout the shipment lifecycle,” said Kareem Naouri, Co-Founder and Chief Executive Officer, 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, allowing the system to automatically read and populate the required fields within the TMS, with translation to and from any language.
“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,” added Naouri.
“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.”
The release marks the first phase of Logistaas’ broader AI strategy; the company has already begun developing a second AI tool designed to analyse shipment data and identify potential compliance issues based on route and destination requirements.
