Upcoming Webinar: Classified - The Secret to HS & ECCN Accuracy

Date: Tuesday, Dec 2, 2025

Time: , 3:00 PM - 4:00 PM CEST

Registration: Click here

The Hidden Complexity of Classification Accuracy

Even the most experienced trade compliance teams know that achieving classification accuracy isn't simple. Each decision depends on evolving regulations, fragmented data, and systems that rarely speak the same language.

A single misclassified item can trigger customs delays, unexpected duties, regulatory violations, or missed licensing requirements. Yet for many organizations, classification management remains reactive rather than strategic - addressing problems only after they surface in audits or shipment disruptions.

SEIA and CATTS are joining forces to address what makes classification so complex in practice: data quality challenges, inconsistent records, and the ongoing effort to keep HS Codes and Export Control Classification Numbers (ECCNs) information accurate across systems and regions.

In this webinar, Erika Trujillo (Founder and Managing Director, SEIA) and Arek Kowalski (Senior Key Account Manager, CATTS) will demonstrate how advanced analytics can expose hidden gaps, how risk-based prioritization methods help focus resources where they matter most, and how targeted process improvements can deliver measurable gains in efficiency, accuracy, and compliance confidence.

What You'll Learn

This session goes beyond theoretical best practices to deliver actionable insights that compliance teams can implement immediately:

• Data Quality Realities: Understand the most common classification data gaps organizations face - from missing US ECCNs on US-origin items to inconsistent classifications across different plants or systems.

• Risk-Based Prioritization: Learn how to identify which classification errors pose the highest regulatory and operational risks, so you can allocate resources strategically rather than attempting to fix everything at once.

• Analytics-Driven Discovery: See how data analytics can automatically detect classification inconsistencies, missing data, and suspicious patterns that manual reviews often miss.

• Process Optimization: Discover practical approaches to streamline classification workflows, reduce operational disruptions, and build sustainable classification management practices.

Why This Matters Now

The global trade compliance landscape is evolving rapidly:

• Escalating Trade Wars and Tariff Volatility: The ongoing US-China trade conflict has fundamentally reshaped global trade, with tariff rates fluctuating dramatically and unpredictably. These tariff pressures create both compliance risks and tremendous opportunities for tariff engineering fraud, making accurate classification more critical than ever.

• Tariff Evasion and Circumvention Pressures: High tariff environments create powerful economic incentives for misclassification, whether intentional or through negligence. Customs authorities are increasingly sophisticated at detecting evasion schemes - misclassified country of origin, transshipment through third countries, and deliberate HS code manipulation. Organizations face scrutiny not just for their own actions, but for suspicious patterns in their entire supply chain, including distributors and customers who may be circumventing restrictions.

• Increased Regulatory Scrutiny and Enforcement: Customs authorities and export control agencies are leveraging advanced analytics and AI in enforcement, raising the bar for what constitutes adequate compliance programs. Governments can now detect patterns and anomalies at scale - the same kinds of signals SEIA identifies for its clients. The question is no longer whether authorities have the capability to find classification errors, but when they will focus on your organization.

• Resource Constraints in High-Pressure Environments: Trade compliance teams face mounting responsibilities - tariff strategy, sanctions compliance, export controls, ESG requirements, and more - often with flat or declining budgets. The rate of regulatory change means that by the time you implement one policy, regulations have shifted again. Efficient, risk-based resource allocation isn't just good practice; it's the only sustainable path forward.

In this landscape, classification errors don't just create compliance risk - they undermine business strategy, erode competitive advantage, and expose organizations to enforcement actions that can halt operations. Getting classification right is no longer optional; it's foundational to operating successfully in global trade.

Register Now

Transform your approach to classification data quality. Join us for this practical, insight-driven session that bridges the gap between compliance requirements and operational reality.

Register for the Webinar

How SEIA Supports Master Data Cleanups

The reality facing most organizations is stark: nobody has perfect master data quality.

"I've never seen a company that has really great master data quality. However, that shouldn't be a hurdle or deterrent to doing appropriate risk management."

Erika Trujillo, Managing Director, SEIA

SEIA's philosophy transforms the master data challenge from paralysis to progress: if you can only fix two or three pieces of bad data this week, which do you pick to have the biggest impact with the least amount of effort?

Here's how SEIA makes master data cleanup actionable:

Multi-Dimensional Classification Analysis SEIA examines your classification data from multiple strategic angles:

• Correlation Analysis: Identifying items with HS codes correlated to dual-use classifications (via EU correlation tables) that lack proper export control classifications—particularly when those items are destined for sensitive countries.

• Keyword Detection: Scanning material descriptions for dual-use keywords to flag items that may be misclassified or using incorrect dummy numbers.

• Product Hierarchy Logic: Detecting components that should inherit dual-use classifications from their parent systems but are missing proper classifications when sold separately.

• Consistency Checks: Highlighting identical materials classified differently across plants, jurisdictions, or time periods.

Risk-Based Prioritization Not all classification errors carry equal weight. SEIA's analytics help you prioritize based on:

• Regulatory Impact: Which missing or incorrect classifications create the highest compliance exposure?

• Operational Impact: Which data quality issues cause the most delays, broker rejections, or process disruptions?

• Transaction Volume: Where will fixing classification data have the broadest positive effect?

This means your team can focus on high-value corrections rather than drowning in an overwhelming spreadsheet of 550,000 items where everything appears equally urgent.

About SEIA

SEIA is a global trade compliance data analytics company based in Munich, Germany, that provides organizations with the transparency and risk assurance they need to navigate complex trade compliance regulations. By delivering continuous monitoring, data-driven risk assessments, and actionable strategic insights, SEIA helps compliance teams move from reactive firefighting to proactive program optimization.