BlueCargo brings visibility to optimize operations in container port terminals

    Achieve up to 50% savings in operational efficiency


  • Machine Learning (artificial intelligence) for port terminal operations: we predict the dwell time of containers to bring visibility to terminal operators and improve their productivity.


    Our proprietary predictive algorithms match truck appointments with the state of yard to increase terminal’s productivity and create peel-off conditions while enhancing the quality of the service.


  • Yard planning optimization: We have a platform able to connect to any sources of data and to automate intelligent planning decisions. The platform can be integrated with any Terminal Operating System (TOS)



    Yard planning is time-consuming, costly and often inaccurate.


    Our platform can connect to any source of data and automates intelligent planning decisions through custom integration with any of the terminal systems. It is easily configurable and can integrate new terminal layouts.



    We connect terminal operators to drayage carriers and deliver smart appointments reducing the number of unproductive moves and matching carriers' constraints.

  • February 6, 2019 - (Fr) - The 13 Artificial Intelligence Start-ups in France to watch in 2019

    September 28, 2018 - (Fr) - BlueCargo won the "Future of Port" competition as innovation of the year

    April 12, 2018 - (Fr) - BlueCargo won the Moovjee Pilote prize for the entrepreneur of the year

  • Interested in building the future of maritime supply chain?

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