Automated Email Processing System for Transport Offer Identification and Market Analysis

The client faces difficulties in manually sorting and analyzing vast volumes of incoming emails sent in multiple languages with inconsistent formats. These messages contain critical transport offers and contact information, but the chaotic and high-volume nature leads to missed opportunities and delays in response, hindering competitiveness in the transportation market.

A large, well-established logistics company managing transportation for freight across Europe and Asia, seeking to improve efficiency in processing incoming transport offers and market data.

• Achieve approximately 85% automation in processing incoming email correspondence related to transport offers.
• Reduce email response times by up to 95%, enabling quicker identification and response to attractive transport opportunities.
• Integrate data analytics capabilities to monitor and analyze current transport pricing trends in real-time through BI tools.
• Develop a user-friendly web interface allowing staff to browse, filter, and export identified offers efficiently and to monitor processing errors.
• Ensure system scalability and robustness to handle high volumes of multi-language unstructured emails.

• Automated ingestion and processing of emails from client inboxes.
• Natural language processing (NLP) capabilities to interpret multi-language content with variable formatting.
• AI model fine-tuning to accurately extract transport offers and associated contact details.
• Data storage solutions for storing processed information securely and efficiently.
• An internal analytics dashboard or web app enabling browsing, filtering by date or sender, and data export in formats such as Excel.
• Error handling and reporting mechanisms to flag and display processing issues in the web app.

• Email servers/inbox integration for automated data retrieval
• Natural language processing APIs or custom NLP models for multi-language understanding
• Business Intelligence tools or dashboards for market trend analytics
• Export functionalities to formats like Excel

• Achieve approximately 85% processing effectiveness in email analysis.
• System must support high-volume email throughput, scalable to handle large inboxes.
• Secure handling of sensitive contact and offer information.
• High system availability and minimal downtime.
• User interface must be intuitive and responsive.

The implementation of this AI-assisted email processing system is expected to automate approximately 85% of incoming correspondence, significantly reducing manual effort. The client can anticipate a reduction in response times of up to 95%, enabling faster engagement with attractive transport offers. Additionally, linking the system to BI tools will provide continuous market trend insights, supporting strategic decisions and maintaining competitive edge.