\u201cKawasaki Kisen x Cinnamon AI\u201d DX initiative image<\/strong><\/p>\n\n\n The Statement of Fact, which is widely used around the world, contains details about cargo handling, such as the name of the ship and the dates and times of port stays. However, this Statement of Fact is created in a different format (non-standard form) for each port and shipper, so in the conventional creation of a Laytime Statement, chronological records of cargo handling operations are manually transferred to a spreadsheet software. We needed to calculate the berth time. Furthermore, creating a Laytime Statement requires expertise gained through experience, as the calculation method differs depending on the weather and length of stay, and transcription work is a so-called "individual" process, with differences in work time and accuracy depending on the person in charge. There was a problem that it turned into "business".<\/p>\n\n\n\n Our strength lies in feature learning AI-OCR technology that automatically extracts necessary information from unstructured data. This time, the Laytime Statement automatic creation system "CHRONUS" developed by Kawasaki Kisen is able to "improve business efficiency and improve quality, depend on individual experience," by linking data automatically extracted by Cinnamon AI's AI-OCR. Standardization of business flow that does not require<\/p>\n\n\n\n This initiative was made possible by introducing Cinnamon AI's AI-OCR technology into "Land DX," one of Kawasaki Kisen's DX strategies. In addition, Cinnamon AI provides a feature learning AI-OCR \u201cFlax Scanner for Trade Documents\u201d specifically for trade documents. We will continue to work harder to promote trade DX, such as automatically extracting information from commercial invoices and bills of lading.<\/p>\n\n\n\n![\"\"](\"http:\/\/52.198.218.71\/wp-content\/uploads\/2023\/11\/29d3bc99193cb0b837fb8cc53f050ae5-1-1024x589.png\")
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