
Trans-IT
Trans-IT is a software developer focused on providing smart solutions for the transport and logistics industry. With an innovative AI-driven Transport Management System (TMS), Trans-IT helps businesses manage and automate their operations more efficiently. This forward-thinking approach enables organizations to tackle the increasingly complex challenges in the industry. To build this cutting-edge TMS, they partnered with Infofarm, primarily for the generative AI component and AI architecture.
Challenges in Logistics
The transport and logistics sector faces several persistent challenges that complicate daily operations. One of the biggest challenges is the continuous updating of logistics planning, which is crucial in an industry where conditions can change rapidly. Dynamic factors, such as unexpected traffic conditions or shifts in customer demands, require planning to remain flexible and accurate.
Additionally, it became clear that many companies still process transport orders manually – especially when parsing PDF documents – which can be time-consuming and error-prone process. This inefficiency leads to higher operational costs and slower response times. The international nature of the industry also plays a role. Poor communication between carriers from different countries, often hindered by language barriers, results in misunderstandings and delays that further disrupt operations.


The AI-Driven TMS
To address these complex problems, Trans-IT, in collaboration with Infofarm, developed an advanced AI-powered document and email processing system that transforms how transport companies operate. This system enables automatic order extraction, reading and processing transport orders directly from sources like emails and PDF documents. As a result, the need for time-consuming manual input is eliminated.
At the same time, the TMS provides data-driven optimization of logistics planning by analyzing data in real-time and adjusting plans based on changing conditions, such as traffic situations or weather forecasts. This leads to more efficient routes and significant cost savings.
Another key feature of the solution is the automated communication platform with cross-language functionality. This allows transporters to communicate in different languages without misunderstandings. The system automatically translates messages, ensuring smooth and efficient collaboration while speeding up decision-making.
The Impact of the Technology
The implementation of the AI-driven TMS has delivered impressive results for transport companies. With automated processing of transport orders, businesses can now handle up to 30% more orders without hiring additional staff. This not only increases operational capacity but also boosts profitability.
Additionally, the system provides real-time visibility into the status of trucks, trailers, and drivers. Customers benefit from estimated time of arrival (ETA) updates and greater transparency in their logistics processes. This enhances customer satisfaction and improves companies’ planning capabilities. Moreover, the TMS seamlessly integrates with existing CRM and ERP systems, allowing businesses to incorporate new technology into their existing workflows without disruptions. This ensures a smooth transition and enhances business continuity.

Conclusion
Thanks to Trans-IT’s innovative AI-driven TMS, transport companies now have a powerful tool to tackle the challenges of an ever-changing industry. By automating processes, improving communication, and leveraging data to its full potential, Trans-IT helps its customers work more efficiently and strengthen their competitive edge. This case study highlights not only the value of technological innovation but also the crucial role that Infofarm can play in the future of transport and logistics.
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