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AI brokering: matching cargo and vessel capacity automatically

Brokers at Rederij de Jong spent most of the day hunting for information instead of closing deals, wading through hundreds of messages across Outlook, Bargelink, WhatsApp and the phone. We built an AI platform that matches cargo to vessel capacity on its own.

Client
Rederij de Jong
Sector
Maritime, inland shipping
Size
51 to 200 FTE
Environment
Azure, Entra ID
Rederij de Jong · AI brokering: matching cargo and vessel capacity automatically

The challenge

Information was scattered across emails, spreadsheets, PDFs and phone calls. Brokers matched cargo specifications against available vessel capacity by hand.

Vital market knowledge lived in individual brokers' heads, and commercial chances slipped away while information waited to be processed.

Our approach

  1. 01

    Automatic email processing

    Through the Microsoft Graph API, incoming messages are read automatically and cargo data is structured, whatever channel it came in on.

  2. 02

    Three central dashboards

    Cargo, vessel capacity and ranked matches, brought together in a single overview.

  3. 03

    Knock-out filters and ranking

    Hard criteria like time, distance and tonnage rule options out, then the system ranks the best of what's left.

  4. 04

    Human-in-the-loop

    The system flags and prioritises, the broker decides. Rolled out within the company's own Azure environment with Entra ID.

The result

Matching now takes seconds rather than hours. Every incoming message is processed automatically, whatever its source, market knowledge is captured and searchable, and the whole operation sits in one place.

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