SUCCESS STORIES

Leading European Logistics Company Digitizes Customs Processing with AI-Powered Data Capture

Leading European Logistics Company Digitizes Customs Processing with AI-Powered Data Capture

Logistics

+580,000 employees

Europe

See how a leading European postal and logistics organization partnered with Mplus to transform manual customs declaration processing into a scalable digital workflow, improving processing speed, ensuring regulatory compliance, and enabling efficient handling of millions of international shipments every year.

See how a leading European postal and logistics organization partnered with Mplus to transform manual customs declaration processing into a scalable digital workflow, improving processing speed, ensuring regulatory compliance, and enabling efficient handling of millions of international shipments every year.

98% OCR accuracy 

100% same-day SLA compliance 

4M+ customs declarations processed annually 

Challenges

New international customs regulations introduced significant operational complexity for the organization's cross-border shipment process. 

Although customers continued completing customs declarations by hand at postal branches, the information now needed to be converted into structured electronic data before shipments could enter destination countries. 

Key challenges included: 

  • Manual processing of handwritten customs declarations  

  • Strict customs regulations requiring electronic data submission before shipment transport  

  • High risk of processing delays due to demanding SLA requirements  

  • Limited operational visibility and reporting  

  • No centralized platform for customs data capture 

  • Difficulty managing seasonal shipment volume peaks  

  • Data quality challenges caused by handwritten shipment labels  

  • The need for a scalable digital customs processing model  

Solution

The organization partnered with Mplus to implement a centralized customs data processing solution that digitized handwritten customs declarations and transformed them into structured electronic records for customs systems. 

The solution combined digital data capture, structured validation, operational reporting, and intelligent automation to create a secure and scalable processing workflow. 

The deployment included: 

  • Digital capture of handwritten customs declaration data  

  • Structured validation of shipment, sender, recipient, and customs information  

  • Automated generation of electronic customs records  

  • Daily and monthly operational reporting with SLA and quality monitoring  

  • Scalable processing capable of handling high shipment volumes  

  • OCR-powered automation for intelligent data extraction from shipment labels

Impact

The centralized customs processing solution significantly improved operational efficiency while ensuring compliance with international customs regulations. 

By digitizing manual workflows and introducing OCR-based automation, the organization accelerated processing times, improved data quality, and created a scalable operational model capable of supporting seasonal shipment peaks and millions of international shipments annually. 

Key outcomes included: 

  • Faster customs data processing while consistently meeting SLA targets  

  • Reducing manual data corrections while maintaining high-quality customs data 

  • Improved operational visibility through detailed reporting and proactive quality monitoring 

  • Scalable operations supporting seasonal shipment peaks  

  • A future-ready foundation for continued process automation  

Why Mplus?

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Mplus helped the organization modernize a critical customs processing operation by combining operational expertise with intelligent automation and scalable back-office services. 

Rather than simply digitizing manual data entry, Mplus designed a centralized customs data processing platform that combined digital data capture, structured validation, operational reporting, and OCR-powered automation within a single workflow. This enabled the organization to comply with evolving international customs regulations while improving efficiency, maintaining high data quality, and supporting large-scale international shipment volumes. 

The result is a scalable digital customs processing model that accelerates operations, improves compliance, and provides a strong foundation for future AI-driven automation. 

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