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Perspectives | Case Study

2023 ISG Case Study Research: Metro Shipping Automates Customs Clearance

Read | May 27, 2024

Download Case Study

AUTHOR(s)

A WNS Perspective

Key Points

Metro Shipping faced challenges with increased Brexit-related documentation, impacting customs processes, supply chain, sales and transportation costs.
This shipping case study, recognized as a Standout Case Study by ISG, details how the logistics company collaborated with WNS Triange to automate customs document processing, harnessing hyperautomation and data extraction platforms.
Underlining the significance of pre-built solutions in this transformation story, ISG emphasizes the outcomes of reduced turnaround time, increased cost savings, improved customs declaration accuracy and enhanced capacity to manage high volumes.

Metro Shipping Transforms Customs Clearance with AI-led Digitization

Read the detailed case study

FAQs

1. How can AI-powered customs clearance help logistics companies reduce delays and operating costs?

AI-powered customs clearance can automate document ingestion, extract data from unstructured files, and validate information against business rules. This reduces manual processing and helps accelerate customs declarations. In the Metro Shipping case study, WNS used its Malkom document digitization platform and SKENSE AI-led data extraction capabilities to address the increase in customs documentation following Brexit.

2. How can logistics companies improve customs declaration accuracy through automation?

Logistics companies can combine AI-based data extraction, contextualization, automated validation, and exception handling to identify inconsistencies before submitting customs declarations. WNS (Part of Capgemini) combines logistics domain expertise with intelligent automation to help improve document-processing quality while retaining appropriate controls and human oversight.

3. How can shipping companies handle increasing customs documentation volumes without proportionally increasing resources?

Scalable document digitization and automated workflows can help shipping companies process higher volumes while reducing repetitive manual work. Capabilities such as automated data capture, configurable business rules, workflow orchestration, and automated quality checks can support variable demand. Metro Shipping's transformation demonstrates how an AI-enabled approach can increase processing capacity while optimizing resource utilization.

4. How can organizations integrate AI-led customs automation with existing logistics systems?

Organizations can integrate customs automation through APIs, configurable connectors, standardized data formats, and automated downstream data transfer. Decision-makers should assess compatibility with existing customs platforms, data quality, security, auditability, and exception-management requirements. In the Metro Shipping engagement, WNS integrated Malkom and SKENSE capabilities into the client's customs declaration workflow.

5. What measurable business outcomes can logistics leaders expect from customs clearance automation?

Decision-makers should evaluate turnaround time, declaration accuracy, cost per declaration, manual intervention rates, processing capacity, and service-level performance. In the Metro Shipping case study, the solution reduced turnaround time by 40% and enabled a 25% increase in business volumes, alongside cost optimization and improved declaration accuracy. These results illustrate how WNS (Part of Capgemini) can help logistics organizations pursue measurable operational improvements through AI-led digitization.