What does AI-powered actually mean in Shipfix in International Shipping News 18/05/2026 In 2018, the shipping and commodity trading world had no shortage of headlines. The U.S.-China trade war was reshaping global trade. IMO emissions targets were forcing difficult decisions across the industry. Oversupply, volatile freight rates, and increasingly complex trade flows were testing commercial teams at every level. At that same time, Shipfix was being founded. It wasn’t trying to solve all these macro challenges, but it was built to tackle something more specific that sat underneath them: how information moves through the industry. Because behind the volatility and headlines, the day-to-day reality for charterers hadn’t changed. Critical market signals — cargoes, vessels, fixtures — were still buried in emails, scattered across teams, and impossible to structure at scale. Solving that problem meant going deeper than traditional software at the time. It required building purpose-built natural language processing (NLP), a form of AI, to extract and structure data directly from communication. Years before the current wave of AI swept through the tech world. That head start matters. With more than seven years of training, Shipfix’s AI isn’t a feature. It’s the foundation everything else is built on. What the AI in Shipfix Actually Does At its core, Shipfix’s NLP does one thing: it reads emails the way a human would, but at a scale no human could manage. Email is unstructured by nature; the NLP is what turns that unstructured communication into data that can actually be used. It starts the moment an email arrives. Shipfix identifies what type of communication it is: a tonnage circular, a cargo order, a fixture recap, an operational update, or something else. That classification happens automatically, before anyone opens the message. It’s the starting point for everything else. From there, the NLP extracts the unstructured data buried inside. For a cargo order, that means pu