A business technology article published on May 18, 2026, highlights the origins and capabilities of Shipfix, a platform founded in 2018. According to the source material from Veson Nautical, the shipping and commodity trading industry at that time was dominated by the U.S.-China trade war, IMO emissions targets, oversupply, volatile freight rates, and complex trade flows.

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Shipfix was established not to address these broad macro challenges but to solve a specific underlying issue: how information moves through the industry. The day-to-day reality for charterers had remained unchanged, with critical market signals such as cargoes, vessels, and fixtures buried in emails and scattered across teams, making them impossible to structure at scale. To solve this, the company developed purpose-built natural language processing (NLP) to extract and structure data directly from communication, years before the recent wave of AI technology.

The platform’s AI has been trained for more than seven years, forming the foundation on which everything else is built. The NLP reads emails like a human would but at an unmanageable scale for people. When an email arrives, Shipfix automatically identifies the type of communication—such as a tonnage circular, cargo order, fixture recap, or operational update—before anyone opens the message. The NLP then extracts unstructured data: for a cargo order, it pulls out the load port, discharge range, cargo type, laycan, and quantity; for a tonnage circular, it extracts the vessel name, open position, open date, and deadweight. No manual input is required.

Once processed, email types, tags, and data flows throughout Shipfix become searchable, filterable, and actionable. The system identifies vessels, voyages, and cargoes within messages and auto-tags emails accordingly. For operational emails recognizing a vessel, Shipfix automatically links that email to the vessel in the directory. For voyages, those emails surface within the IMOS voyages through a native connection to IMOS or the proprietary Jobs board. Users can build on top of this foundation with their own tags, team routing, and rules.

Every tonnage circular and cargo processed by Shipfix flows into Market Screens, providing a live, deduplicated view of the market. This consolidates cargo and tonnage positions from the inbox and open market positions. Organizations can filter by vessel type, open area, laycan, cargo type, and more. A position that circulates across five brokers appears once, removing noise and leaving opportunities for teams to act on.

The model improves through a combination of client feedback and automatic error detection, a continuous refinement process that keeps it accurate as the market evolves. No data leaves the platform for processing elsewhere, and no third-party model is involved. The source concludes that for teams still manually sorting through inboxes and re-entering position data, the gap is widening, and the market does not slow down while technology could handle the work.

Source: IndexBox Market Intelligence Platform