How to strengthen your organization’s tariff resilience

• Partial visibility into landed costs
• Inconsistent classification practices
• No formal trade governance structure
   

1. Centralized Trade Data Repository

• Build a SharePoint or Power BI dashboard to consolidate tariff rates, HS codes, and country-of-origin data.
• Automate updates via customs APIs or trade content providers.

2. Trade Governance Framework

• Define roles and responsibilities (RACI) for classification, origin, and valuation.
• Establish a Trade Compliance Council with quarterly reviews.

3. Supplier Engagement Program

• Develop a questionnaire to validate supplier-provided origin and classification data.
• Include trade compliance clauses in supplier contracts.
   

“Tariff Tinder” for Suppliers

Develop a mobile-friendly internal app where procurement and compliance teams can “swipe” through supplier profiles based on trade compliance readiness (classification accuracy, origin transparency, digital integration).

• Purpose: Quickly assess and shortlist suppliers for tariff-sensitive products.
  
  
• Bonus: Integrate with supplier scorecards and onboarding workflows.
   

• Use of trade modules in ERP (e.g., SAP GTS, Oracle GTM)
• Some use of landed cost modeling
• Trade compliance team exists but lacks strategic influence
   

1. Digital Twin for Supply Chain

• Use specialized tools to simulate supply chain redesigns under different tariff regimes.
• Evaluate trade-offs between cost, lead time, and risk.

2. Tariff Playbook Development

• Create predefined response strategies for tariff increases (e.g., shift sourcing, adjust pricing, reclassify goods).
• Include escalation paths and decision timelines.

3. Trade Compliance KPIs

• Track metrics like classification accuracy rate, duty savings realized, and audit findings.
• Integrate into monthly business reviews.
   

“Tariff War Games” with AI Agents

Use AI agents to simulate trade wars between countries and model how your supply chain would respond. Let teams compete to build the most resilient network under changing scenarios.

• Purpose: Stress-test your supply chain and uncover hidden vulnerabilities.
  
  
• Bonus: Use outputs to refine your tariff playbook and scenario planning.
   

• Real-time landed cost visibility
• AI-assisted classification and origin determination
• Integrated trade compliance in product lifecycle management (PLM)
   

1. AI-Powered Classification Engines

• Deploy machine learning tools to suggest HS codes based on product descriptions and historical data.
• Continuously improve accuracy through feedback loops.

2. Dynamic Pricing Engines

• Integrate tariff data into pricing algorithms to adjust customer pricing based on real-time landed cost changes.
• Use in B2B portals or e-commerce platforms.

3. Continuous Improvement Loop

• Conduct post-entry audits to identify overpayments or missed savings.
• Feed insights into training, system rules, and supplier scorecards.
   

“Tariff Tokenization” via Blockchain

Tokenize tariff data and compliance events (e.g., classification approvals, origin certifications) on a private blockchain. Each token represents a verified compliance milestone.

• Purpose: Create an immutable audit trail and enable real-time verification across partners.
  
  
• Bonus: Use smart contracts to automate tariff refunds or duty drawback claims.