Logistaas Launches AI-Powered Document Reading Tool to Streamline Freight Operations

Introduction to the New AI Capability

Logistaas has unveiled a new artificial intelligence–driven document-reading feature integrated into its Transport Management System (TMS), marking a significant step forward in the automation of freight forwarding operations. The technology is designed to help logistics professionals manage large volumes of shipment documentation more efficiently by eliminating manual data entry. By combining optical character recognition (OCR) with its proprietary AI agent, Averroes, the company aims to reduce errors, accelerate processing times, and free up valuable staff resources for higher-value tasks.

This launch represents the first stage of Logistaas’ broader AI transformation strategy, with additional intelligent tools already in development to further modernize logistics workflows.

Tackling the Burden of Manual Data Entry

Freight forwarders handle extensive paperwork throughout the shipment lifecycle. From air waybills to invoices and customs forms, each document contains critical data that must be carefully entered into transport systems. Traditionally, this process has required hours of repetitive manual work, which not only consumes time but also increases the risk of human error.

According to Logistaas leadership, this inefficiency is precisely where artificial intelligence can create the most impact. Repetitive administrative tasks, such as reading documents and inputting data, are ideal for automation because they follow predictable patterns and rules. By transferring these tasks to AI, logistics teams can focus more on customer service, planning, and problem-solving rather than clerical work.

How the Technology Works

At the core of the new feature is a combination of OCR technology and Logistaas’ AI engine, Averroes. OCR enables the system to scan and recognize text from both digital and scanned documents. Averroes then interprets the extracted information and automatically maps it to the correct fields inside the TMS.

Users simply upload their shipment documents—such as airfreight waybills or related paperwork—and the system processes them instantly. Within moments, shipment details are populated into the appropriate records without any manual typing. This automated workflow significantly reduces processing time while improving data accuracy.

Additionally, the tool supports translation between multiple languages, allowing international freight forwarders to manage documentation from different regions without language barriers.

Training the AI on Real-World Complexity

One of the main challenges in developing the system was the inconsistent nature of logistics documentation. Shipping documents vary widely depending on the carrier, shipper, country, and format. Layouts differ, terminology changes, and information may appear in unexpected locations.

To overcome these issues, Logistaas trained its AI model using a large dataset of real-world shipping documents collected from across the industry. By exposing the system to diverse examples, the AI learned how to recognize patterns even when formats are irregular or unfamiliar. This practical approach helps ensure reliable performance in everyday operational conditions rather than only in controlled environments.

As a result, the tool can accurately interpret complex documents that would otherwise require careful human review.

Benefits for Freight Forwarders

The new feature provides several immediate advantages for freight forwarders. First, it significantly reduces the time required to process shipment paperwork. Tasks that once took hours can now be completed in minutes. Second, it improves accuracy by minimizing human typing mistakes and inconsistencies. Third, it enhances productivity, enabling staff to dedicate more attention to strategic activities such as customer communication and shipment coordination.

Ultimately, this leads to lower operational costs and faster service delivery, both of which are critical in today’s highly competitive logistics environment.

Leadership Perspective and Vision

Kareem Naouri, co-founder and chief executive officer of Logistaas, emphasized that the tool was created with the practical needs of freight professionals in mind. He explained that manual document entry is one of the most time-consuming and costly aspects of the job, making it an ideal candidate for automation. By teaching the AI to understand real shipping documents rather than standardized templates, the company ensured that the solution would perform consistently in real operational settings.

This user-focused development approach reflects Logistaas’ commitment to building technology that directly addresses industry challenges.

What Comes Next: Expanding the AI Strategy

The document-reading tool is only the beginning of Logistaas’ AI roadmap. The company has already started developing additional features to further automate logistics management. One upcoming tool will analyze shipment data to identify potential compliance risks based on routes and destinations, helping businesses avoid regulatory issues.

In addition, Logistaas plans to introduce AI-powered customer support that provides on-demand assistance. This virtual support system will help users resolve questions quickly, improving service responsiveness and overall user experience.

Conclusion

With the introduction of its AI document-reading feature, Logistaas is positioning itself at the forefront of digital transformation in freight forwarding. By reducing manual workloads, increasing accuracy, and streamlining operations, the company is demonstrating how artificial intelligence can deliver tangible benefits to logistics professionals.

As more AI tools are rolled out in the coming months, Logistaas’ platform is set to become an increasingly intelligent and automated solution, helping freight forwarders operate faster, smarter, and more efficiently in an evolving global market.

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