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ALM Media, LLC

Josh Gazes, Senior Vice President – Operations

British Gas

Jess Johnson, Head of Operational Excellence

Mosaic Insurance

Mitch Blaser, Co-CEO

Mosaic Insurance

Krishnan Ethirajan, COO

Oxford Nanopore Technologies

Jason Hendrey, Senior Director, Global Customer Services

WS Audiology (WSA)

Christof Steube, Director of Finance Excellence

Kiwi.com

Leonard McCullie, Director, Vendor Management

Kiwi.com

Petra Reiter, Vice President, Customer Services

Flight Centre

Aaron Fadelli, Business Leader

Healius Pathology

Alex Cook, Head of Finance Operations

Varo Bank

Breanna Rivers, Partner Performance Manager

Yorkshire Building Society Group (YBS)

Jessica Lockwood, Process Automation Manager

WS Audiology (WSA)

Sharang Patil, Director of Group Finance Excellence

Priya Madan Mohan, VP for Group Accounting & Controlling

United Airlines

Chris Kenny, VP and Controller

GFG Alliance

Phillip Irish, General Manager, Shared Services Delivery, Quality & Governance

Energy Australia

Steve Corden, Outsource Operations Leader

Delaware North

Christopher Lozipone, Senior Vice President and Global Business Services Head

Moneycorp

Nick Haslehurst, Chief Financial & Operating Officer

Prodigy Finance

Nico Barnard, Head of Operations

M&T Bank

Chris Tolomeo, Senior VP & Head of Banking Services

Minerals Technologies Inc. (MTI)

Khem Balkaran, CIO

Church's Chicken

Louis J. Profumo, CFO & EVP

Metro Shipping Transforms Customs Clearance with AI-led Digitization

Read | Aug 14, 2023

AUTHOR(s)

A WNS Perspective

Key Points

  • Confronted with the intricate web of post-Brexit customs regulations, Metro Shipping sought to navigate the surge in logistics documentation and the resulting operational hurdles.
  • Metro Shipping and WNS set sail on a strategic collaboration, synergizing the capabilities of a comprehensive document digitization engine with the sophistication of an artificial intelligence-driven data contextualization platform.
  • This orchestrated integration enabled Metro Shipping to digitize customs declarations, driving efficiency, cost reduction and scalability.

This case study delves into how WNS deployed its document digitization platform and Artificial Intelligence (AI)-led unstructured data extraction and contextualization platform to help Metro Shipping navigate Brexit customs clearance.

As we know…

The regulatory and commercial landscape of the UK underwent a significant transformation due to Brexit, leading to profound implications for consignments and cargo entering and departing the country. Consequently, customs clearance requirements became more complex, hindering the seamless flow of goods and services and resulting in a substantial surge in paperwork.

Therefore, the digitization of logistics documentation has become paramount. An automated and scalable workflow system with data ingestion and extraction capabilities is the need of the hour for shipping and logistics companies. Coupled with an intelligent algorithm to contextualize information, it can significantly enhance efficiency and accuracy.

Client Testimonial

“Metro Shipping has always been a technology-first organization and we see WNS as an important partner in ensuring we offer modern and sustainable solutions to our customers. Brexit was a very uncertain time for everyone. However, pre-empting the transition of UK customs from CHIEF to CDS, Metro built an API based on the EU-CDM, namely CuDoS. This was presented to the WNS technical team with the challenge of digitizing the pdfs we receive from our customers and their supply chain partners. The WNS team quickly understood the challenge and had the perfect solution in Malkom. Working closely with both technical and operational colleagues, WNS responded excellently to change and complexity and was able to meet all deadlines ready for go live, which was January 01, 2021. The go-live period was managed effectively with daily calls, eventually extending to weekly to what is now a monthly review. We are now investigating other areas of our business where Malkom and WNS can assist us and would have no hesitation in recommending them.”


Technical Solutions Director, Metro Shipping

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The challenge for Metro Shipping was…

Navigating post-Brexit customs regulations, which exponentially increased the volume of documentation. Consequently, the client had to allocate additional resources to complete customs formalities, resulting in a longer Turnaround Time (TAT).

This delay had a cascading effect on the supply chain, impacting sales and increasing transportation costs. Furthermore, the backlog caused congestion at ports, exacerbating costs and impeding the client’s ability to meet Service-level Agreements (SLA). The client also needed to complete formalities quickly to safely transport perishable goods within a short window. Notably, manual processes contributed to further delays due to inadvertent errors.

As a co-creation partner…

WNS Analytics, our AI, analytics, data and research practice, leveraged industry expertise and proprietary AI / Machine Learning (ML) capabilities to co-create a solution tailored to the client’s customs clearance needs

Powered by Analytics NxT, the platform-centric pillar of WNS Analytics, we introduced our hyperautomation platform, WNS Malkom, as a comprehensive document digitization solution.

To further enhance the functionality of Malkom, we integrated SKENSE, our AI-led data extraction and contextualization platform. This amalgamation of Malkom's highly intuitive user interface and data ingestion functionality with SKENSE's document management and processing capabilities enabled us to provide the client with a comprehensive digital solution.

SKENSE harnesses Generative AI capabilities, offering impressive functionality and flexibility. It can be easily hosted on multiple cloud environments, including AWS, Azure and GCP, as well as on-premises infrastructure.

Key aspects of the solution included:

  • Real-time data ingestion facilitated by custom connectors / Application Programming Interfaces (API)
  • (Support for) Multiple formats, such as digital files, flat files and images
  • Automated processing of complex and unstructured data formats
  • Customizable business rules, AI / ML models and ontologies for accurate contextualization
  • Built-in workflow and visualization capabilities for seamless operations
  • Self-service features empowering users with flexibility and control
  • Feedback loop for gaining insights, addressing challenges and enabling continuous improvements
  • Auditable trail with search capabilities for historical data
  • Target system integration to facilitate downstream processing
  • Serverless deployment of ML models, ensuring high availability and automatic scaling
  • Auto-model updates to minimize manual intervention through periodic re-training using the Champion-Challenger model
  • Auto quality checks on output, utilizing validation / business rules or comparison with reference data; enabling straight-through processing if all fields are correct
  • Integrated decision engines and analytical models, offering end-to-end process automation

In addition to its sophisticated cognitive data extraction and contextualization platform, WNS provided Metro Shipping with various benefits, including zero upfront cost, a pay-per-use model and contractually guaranteed performance.

WNS’ AI solution enabled Metro Shipping to…

Manage over 1500 import / export declarations and Transit Accompanying Documents (TAD) on a weekly basis, catering to an average of 50-60 clients per week. In the process, we digitized 200 declarations per day while extracting an average of 40 fields per declaration. This automated and scalable system helped the client handle sudden spikes in volume.

Embedding Malkom in the customs declaration process transformed the client’s administrative operations, resulting in significant business outcomes. Key benefits included:

 percent


improvement in TAT

 percent


enhancement in data accuracy

 percent


reduction in resources while handling a 25 percent increase in volumes

The SKENSE-powered digital solution enabled the client to meet its imperatives of speed and efficiency while navigating the complex post-Brexit customs clearance process using shipping automation.

About WNS Analytics:

WNS is a digital-led business transformation and services company with 60,513 professionals across 64 delivery centers worldwide, including facilities in 13 countries. WNS combines deep industry knowledge with technology, analytics and process expertise to co-create innovative, digitally led transformational solutions with over 600 clients across various industries. WNS Analytics is the Data, Analytics and AI practice of WNS that enables business decision intelligence for clients by combining Artificial Intelligence (AI) and Human Intelligence (HI). We cater to 250+ global companies including Fortune 100 and Fortune Global 500 organizations. WNS Analytics is a robust practice of 6,500+ Domain, Data, Analytics and AI experts with proprietary AI-led assets and innovative technologies. We enable businesses to make transformative decisions backed by data-led intelligence, ensuring differentiated outcomes. WNS Analytics is an end-to-end Consulting-to-Implementation partner delivering business goals for clients with an integrated ecosystem of co-creation labs, strategic partnerships and outcomes-based engagement models.

To know more, visit https://www.wns.com/capabilities/analytics

FAQs

1. How can AI-powered customs clearance help logistics companies reduce processing delays?

AI-powered customs clearance can automate document ingestion, extract relevant information from unstructured files, and validate data against business rules. This helps reduce manual processing, improve turnaround times, and support timely shipment movement. In the Metro Shipping case study, WNS implemented its Malkom document digitization platform with SKENSE for AI-led data extraction and contextualization to address the increased documentation complexity following Brexit.

2. How can logistics companies improve customs declaration accuracy while automating document processing?

Logistics companies can combine AI-driven data extraction with configurable validation rules, reference-data checks, exception handling, and human review where required. This approach helps identify inconsistencies before downstream processing and supports more reliable customs declarations. WNS (Part of Capgemini) combines logistics domain expertise with intelligent automation to help organizations improve document-processing quality.

3. How can logistics operators manage rising customs documentation volumes without proportionally increasing resources?

Scalable document digitization and automated workflows can help logistics operators process fluctuating volumes while reducing repetitive manual work. Capabilities such as automated data capture, API-based ingestion, workflow orchestration, and straight-through processing can support higher throughput without requiring equivalent increases in staffing. The Metro Shipping case study demonstrates how WNS helped the client handle increased volumes through an AI-enabled, scalable customs clearance workflow.

4. How can AI-led customs clearance solutions integrate with existing logistics and customs systems?

Integration can be achieved through APIs, configurable connectors, standardized data formats, and automated downstream data transfer. Logistics leaders should assess compatibility with existing customs platforms, security requirements, auditability, and exception-management processes before implementation. In the Metro Shipping engagement, WNS integrated document digitization and AI-led data contextualization capabilities into the client's customs declaration workflow.

5. What business outcomes should decision-makers measure when investing in customs clearance automation?

Decision-makers should track customs declaration turnaround time, data extraction accuracy, cost per declaration, manual intervention rates, processing capacity, and service-level adherence. Establishing baseline performance and monitoring results after implementation helps quantify operational improvements and guide future investment. WNS (Part of Capgemini) brings together process expertise, analytics, and AI-led automation to help logistics organizations pursue measurable business outcomes.