Global MRT

Global MRT is a digital logistics technology company focusing on cross-border logistics industry and a ground integrated logistics service enabling platform, established in 2007. Through the digital and intelligent upgrading of the core nodes of ground integrated logistics, logistics enterprises are empowered to provide end-to-end logistics services for global customers in sub-sectors.

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Company introduction:

Global MRT is a digital logistics technology company focusing on cross-border logistics industry and a ground integrated logistics service enabling platform. Founded in 2007, it is committed to the empowerment and construction of a sustainable cross-border logistics ecosystem. Through the digital and intelligent upgrading of the core nodes of ground integrated logistics, logistics enterprises are empowered, partnership is reconstructed, and end-to-end logistics services for global customers in sub-sectors are provided.
Global MRT focuses on the digitization of global seaport and airport supporting logistics, warehousing, customs and low-carbon transportation, intelligent logistics equipment and globalization of network operations.
Global MRT has a team of more than 2000 industry experts and professionals. It operates more than 70 core node logistics entities in more than 20 countries and regions around the world. Through the ground integrated logistics service platform, it has enabled more than 1000 cross-border logistics partners, served more than 27000 customers, and initially formed a digital cross-border logistics ecosystem.

Project Background

1. There is no unified standard for the box size of the loading and unloading port on the letter: the basic data such as port name and box size are not unified, and the data import system needs to be converted uniformly;

2. Manual entry is time-consuming and easy to make input errors: there are many and complicated samples, and manual entry is easy to make tired entry errors.

Solution:

1. Configure the conversion function to convert the information identified on the document into the data corresponding to the business system and export it to the system.

2. Confirm the identification results or supplement other business information, identify the results, and automatically add orders.