The client was a UK based shipbroking conglomerate with its operational presence in more than 150 countries across the globe. Since they were dealing with international shipping, every day, two million+ emails were triggered to connect the ship owners, charterers, operators, and buyers of various cargoes, ships, freight, and consignments.
The shipping agents were manually processing massive information in a stringent SLA-driven environment. The agents had to analyze the cargo for its capacity and map it with the available vessel to transport them. All this had to happen in near real-time or else it would lead to further delays in transportation.
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.
With our MobiEbot, the shipbrokers were able to streamline their global operations in response to their surging incoming emails. The shipment time was reduced from weeks to hours and 67% improvement in overall productivity.
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