The entire email parsing workflow was automated with MobiEbot, our home-grown AI-powered email bot. Our email bot was customized for vessel and cargo container tracking. 2 Million+ emails were classified into various categories like vessel position, cargo order, noon report, and junk.
Our email bots used rule-based NER and NLP techniques for tracking cargo container and shipment information. Our email bots extracted 80+ data attributes, including cargo container number, vessel number, vessel tracking, and other shipment details. The extracted data were normalized and checked for accuracy with the automated feedback mechanism.
Each minute 40+ emails were classified, and critical data points were extracted. This classification helped the agents to map the cargo to the most suitable and available vessel in real-time. Data security and governance improved by establishing data policies and business rules.