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Optimizing Email Processing for Shipping Brokers: A Case Study in NLP Solution

| nmb@konfitech.com

Challenge: Implementing an effective NLP solution can be complex and requires expertise.

Shipping brokers rely heavily on information gleaned from emails to track and manage vessel voyages. However, extracting critical details from unstructured email text poses significant challenges in creating a robust NLP solution:

  • Unstructured Data: Emails lack standardized formats, making it difficult to parse information using traditional methods.
  • Industry Specificity: The presence of industry jargon, abbreviations, and misspelled words further complicates data extraction, demanding an NLP solution.
  • Information Overload: Processing large email volumes with hundreds of information instances per email requires efficient solutions like an NLP framework.
  • Real-Time Processing: Extracting information in near-real time is crucial for timely decision-making.
  • Entity Disambiguation: Identifying the correct meaning of entities with identical spellings (e.g., port names) adds another layer of complexity, which can be addressed by a sophisticated NLP solution.

Solution:

Konfitech, an IT company specializing in intelligent automation, partnered with a shipping company to develop a custom NLP (Natural Language Processing) solution for email processing.

Our Approach:

  • Data-Driven Methodology: We integrated the NLP solution seamlessly with the existing workflow, ensuring a smooth transition.
  • Expert-Labeled Datasets: A team of specialists labeled extensive datasets (2,000+ emails) to train the NLP models.
  • Custom Machine Learning Models: We leveraged open-source NLP tools like SpaCy and BERT, combined with machine learning models (XGBoost, Lasso), to create a comprehensive set of models tailored to specific information extraction tasks.
  • Efficient and Scalable Architecture: The solution was implemented as a robust and efficient cloud architecture using AWS Lambda, enabling real-time processing for large email volumes, showcasing an effective NLP solution.

Results:

  • High Accuracy: The NLP solution boasts an impressive 88% success rate in processing emails with zero errors, and 92% accuracy in extracting information instances.
  • Rapid Implementation: The NLP-driven solution was swiftly deployed in the AWS production environment.
  • Seamless Integration: The system seamlessly integrates with existing company systems for streamlined data flow, demonstrating the efficacy of the NLP solution.
  • Continuous Improvement: We actively work with the client to refine the NLP models based on ongoing feedback and labeled data from new or incorrectly processed emails.

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