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Digitrans specialises in building AI solutions that drive innovation in the logistics sector. Our collaboration with Digitrans showcases our expertise in AI model development and MLOps. In this case we demonstrate how our solution can improve document and data management, a critical aspect of the operations of logistics companies.
The logistics industry is overwhelmed with communication in various systems, emails, and documents — generated PDFs, Excel files, scanned documents, orders in emails, etc. For Digitrans’ customers, managing this influx efficiently is a significant challenge. Traditional emails or document processing methods are labor-intensive, prone to errors, and struggle to keep pace with growing data flows. Hence, there is a need for a robust solution to assist planners in accurately extracting data and integrating it into their own logistics systems.
Our team works closely with Digitrans to develop an AI solution tailored to the logistics industry. By using advanced machine learning (ML) models and semantic AI, we created a system capable of extracting, classifying, and analyzing information from diverse document formats.
In practice, the end user forwards all documents to a data entry assistant via email. All messages received at this email address are automatically processed into a machine-readable file and sent to a preferred system, such as a transport management system or ERP.
To bring this solution to life, we use a range of open source tools:
Developing the AI models was just the beginning. To truly improve logistics data management, we integrate MLOps practices into our solution. MLOps allows us to automate workflows, ensure continuous integration, and streamline the deployment and management of the AI models in production.
This approach improves the deployment of our AI models. It makes our solution flexible, with the ability to keep learning and improving continuously.
The AI system delivers:
Through this collaboration, we demonstrated how our expertise in AI model development and MLOps elevates document and data management in logistics.
