Tariff volatility has turned trade compliance from a back-office obligation into a frontline driver of product design, sourcing strategy and margin protection. Do you know how to combat it?
Tariff insights
- Tariff volatility, expanding regulation and workforce constraints are pushing manufacturers to treat compliance as a strategic, early-stage function, with tariff exposure, classification accuracy and sourcing flexibility now shaping product design and supply chain decisions from the outset.
- At the same time, tariff pressure at the SKU level, combined with fragmented data and manual processes, is increasing the risk of costly errors while making AI-enabled monitoring, standardized workflows and duty recovery strategies more important for protecting margin and reducing tariff-related risk.
Tariff volatility and shifting trade rules are creating new pressure across industrial manufacturing, from product design and sourcing to compliance and margin management. To help clarify what is changing, Shannon Hynds from Quickcode.ai weighed in on the current volatility, the key risks and developments companies should be watching, and the practical solutions available to improve visibility, reduce exposure and strengthen compliance. As trade complexity continues to increase, these insights offer a useful framework for manufacturers and suppliers trying to respond more strategically.
Shannon Hynds is the cofounder/CEO of Quickcode.ai, an AI-powered platform built to help organizations make sense of complex, text-heavy data. With a background in software engineering and product leadership, she brings deep technical expertise to solving real-world problems.
Read this Q&A for insights and solutions.
What broader economic, regulatory or workforce trends are having the greatest effect on product design and development for industrial users?
Three forces are converging. First, tariff volatility is pushing design teams to consider duty impact earlier in the product life cycle. Second, regulatory complexity, from partner government agencies to environmental and safety rules, is requiring more precise product data and documentation. Third, workforce constraints are limiting the availability of experienced compliance professionals, forcing organizations to rely more on automation and standardized processes. This has caused a trend toward designing products outside the realm of quality and cost and more toward classification clarity, sourcing flexibility and compliance from day one.
How are rising tariffs continuing to affect manufacturers, fastener suppliers and industrial supply chains today?
Tariffs are no longer a one-time cost adjustment. Now, tariffs are a moving variable that directly impacts day-to-day decision-making across industrial supply chains. Manufacturers and suppliers are being forced to continuously reassess sourcing, pricing and even product design just to keep pace with shifting duty exposure. What used to be an annual review is now an ongoing exercise in cost management and risk mitigation.
For fastener suppliers in particular, the impact is amplified by the nature of the product itself. A single fastener category can include thousands of SKUs with subtle but important differences like material composition, coatings, threading or heat treatment. From a compliance standpoint, those small variations can trigger entirely different classifications, duty rates or exposure to trade measures like U.S. Department of Commerce Section 232 or antidumping/countervailing duties (AD/CVD) actions.
That means tariff impact isn’t applied evenly, but it’s highly specific at the SKU level. Two parts that look nearly identical operationally can carry very different landed costs. In an environment where margins are already tight, those differences add up quickly across high-volume catalogs.
At the same time, many organizations are still managing this complexity with fragmented data and manual processes. This creates what could be called a visibility gap with engineering changes, sourcing shifts or supplier updates that don’t always flow through to compliance in real-time. As a result, companies often rely on outdated classifications or “similar enough” assumptions, which can lead to overpaying duties in some cases and underestimating risk in others.
Rising tariffs are also exposing weaknesses in traditional, broker-dependent models. While brokers play a critical role, they rely on the data provided to them. If that data is incomplete or inconsistent, the resulting classifications (and associated duty payments) may not reflect the true risk or cost position. The importer, however, still bears full responsibility.
Ultimately, the biggest shift is that tariffs can no longer be treated as static or isolated. Programs like U.S. Trade Representative China Section 301 and Section 232 continue to evolve, with changes that can instantly impact large portions of a product catalog. For companies managing thousands of SKUs, even a small regulatory update can have widespread financial implications.
The organizations that are adapting most effectively are moving toward continuous monitoring and SKU-level visibility. Instead of reacting after costs increase or shipments are delayed, they’re proactively identifying which products are exposed, where classifications may need to be revisited and how sourcing or design decisions can reduce risk.
What parts of the value chain are feeling the most pressure from higher duties on materials such as steel and aluminum?
The pressure is acute upstream and midstream:
- Raw material sourcing and procurement teams face immediate cost increases.
- Component manufacturers must absorb or pass along higher input costs.
- Pricing and finance teams struggle to maintain margin predictability.
Downstream, distributors and end users also feel the impact, but the earliest stages of the value chain experience the most direct margin compression.
Where do manufacturers and suppliers most often struggle when trying to keep up with changing trade rules and regulatory requirements?
The biggest challenge is keeping pace with change. Regulations, tariff codes and agency requirements are updated frequently, often with little notice.
Most organizations still rely on manual tracking or fragmented systems, making it difficult to:
- Identify which products are affected by changes.
- Maintain consistent classification decisions.
- Ensure data accuracy across large product catalogs.
This is where continuous compliance monitoring becomes critical.
How significant is the risk of product classification errors and what kinds of financial or operational consequences can those mistakes create?
The risk is substantial. Misclassification can lead to:
- Overpayment or underpayment of duties.
- Customs delays or holds.
- Fines, audits and legal exposure.
In high-volume environments, even small errors can scale across thousands of SKUs, creating significant financial impact.
Why do classification and compliance issues remain so difficult for many organizations, even when they understand the stakes?
Classification and compliance issues are difficult for many organizations regardless of understanding because the challenge isn’t simply knowing the rules, but it’s operationalizing them at scale. Classification and compliance sit at the intersection of complex regulations, imperfect data and constantly changing business inputs. Even highly experienced teams struggle because the problem is structural, not educational.
At its core, classification requires interpreting dense regulatory language and applying it consistently across thousands or even tens of thousands, of products. That alone is difficult. But in practice, organizations are rarely working with clean, standardized data. Product descriptions are often incomplete, inconsistent or written for commercial (not regulatory) purposes. Small missing details, like material composition or manufacturing process, can significantly change the correct classification, yet that information isn’t always readily available.
Scale compounds the issue. What might be manageable for a handful of SKUs becomes exponentially harder across large, dynamic catalogs. New products are constantly being introduced, specifications change, suppliers shift country of origin and legacy classifications get reused to save time. Over time, this leads to inconsistency, what’s often referred to as “classification drift,” where similar products are treated differently or different products are treated the same.
Regulatory change adds another layer of complexity. Tariff schedules, agency requirements and trade measures like AD/CVD or Section 301 don’t stand still. They evolve frequently and often without much lead time. Without continuous monitoring, teams are left reacting after the fact when a shipment is flagged, a cost increases or an audit begins.
There’s also a systems challenge. In many organizations, the data needed for compliance is spread across engineering, sourcing, logistics and finance systems that don’t communicate well with each other. A change in one area, like a new material spec or supplier, may not trigger a review in another. That lack of connectivity makes it difficult to maintain a single, accurate source of truth for classification decisions.
Finally, traditional workflows rely heavily on manual effort and external partners. Spreadsheets, email chains and broker back-and-forth may work in low-volume environments, but they don’t scale effectively. They also make it difficult to maintain audit-ready documentation or demonstrate consistent decision-making over time.
While organizations understand the stakes (fines, delays, margin impact and audit risk), the real barrier is execution. Without systems that can standardize data, apply logic consistently and monitor change continuously, even the most knowledgeable teams are forced into reactive, resource-intensive processes.
It’s not a lack of awareness. It’s the absence of infrastructure that can keep pace with the complexity and speed of modern global trade.
How should companies think about trade compliance as a strategic function rather than simply an administrative requirement?
Trade compliance needs to shift from a downstream, check-the-box activity to an upstream decision-making function that directly influences cost, risk and operational agility. When it’s treated purely as administrative, something that happens at the point of entry or filing, it limits its value and leaves organizations reacting to problems instead of preventing them.
At a strategic level, trade compliance is one of the few functions that touches every part of the product life cycle: design, sourcing, procurement, logistics and finance. That makes it a powerhouse for both margin protection and risk management if it’s integrated early enough.
When organizations operationalize compliance, they gain much more than accuracy:
- Early visibility into duty impact: Instead of discovering costs after goods ship, teams can evaluate tariff exposure during product design or supplier selection. This allows procurement and sourcing teams to make informed decisions that reduce landed cost before commitments are made.
- Consistency and defensibility at scale: Standardized classification processes, supported by structured product data, reduce variability across SKUs and regions. This not only minimizes errors but also creates audit-ready documentation that strengthens compliance posture.
- Faster response to change: With continuous monitoring in place, companies can quickly identify which products are affected by tariff updates, regulatory changes or new trade actions and act before those changes disrupt operations or margins.
- Improved cross-functional alignment: When compliance data is centralized and visible, engineering, sourcing and logistics teams can operate from the same set of assumptions. This reduces rework, eliminates surprises at the border and improves overall execution.
- More informed financial planning: Accurate, product-level duty and tariff data enables better forecasting, pricing strategies and margin management, especially in volatile trade environments.
Perhaps most importantly, companies that treat compliance strategically move from reactive firefighting to proactive control. Instead of relying heavily on brokers or correcting issues after the fact, they build internal visibility and ownership over their compliance decisions.
What is making the current trade environment more complex for manufacturers and industrial suppliers than it was a few years ago?
Trade is no longer stable or predictable. A few years ago, many companies could rely on relatively static tariff schedules and periodic compliance reviews. Currently, that model no longer holds.
First, the pace of regulatory and tariff change has accelerated significantly. Trade measures are being introduced, modified, extended and sometimes reversed with far greater frequency. Tariffs tied to programs like Section 301 or Section 232 can change scope, rates or applicability with little notice. That means companies aren’t just managing complexity, but they’re managing volatility.
Second, the scope of impact has expanded. It’s no longer just a handful of high-risk categories affected by trade actions. A wide range of industrial goods including components like fasteners, subassemblies and raw materials can fall under multiple layers of tariffs or regulatory oversight. A single product may now be subject to baseline duties, additional tariffs and potential AD/CVD exposure simultaneously.
Third, trade compliance has become more interconnected with other regulatory frameworks. Imports are increasingly subject to requirements from multiple agencies beyond customs covering safety, environmental standards and product-specific rules. Each agency introduces its own data requirements, documentation standards and enforcement priorities, adding to the overall compliance burden.
Another key factor is the growing complexity at the product level. Industrial suppliers often manage large catalogs with highly specific variations. Small differences in materials, manufacturing processes or country of origin can change how a product is classified or which tariffs apply. Without detailed, structured product data, it becomes difficult to accurately assess exposure.
There’s also greater scrutiny and enforcement. Regulators are placing more emphasis on “reasonable care,” meaning importers must be able to explain and defend their classification decisions, not just provide a code. This raises the bar for documentation, consistency and internal controls.
Finally, global supply chains themselves are less stable. Companies are shifting sourcing strategies more frequently whether to manage cost, avoid tariffs or improve resilience. Each change in supplier or country of origin can trigger new compliance considerations, requiring reclassification, reassessment of duties and updated documentation.
All of this adds up to a fundamentally different operating environment. Trade compliance is no longer a periodic exercise, but it requires continuous monitoring, real-time visibility and tighter integration with sourcing and product data.
Where are companies most likely to miss opportunities to reduce tariff exposure without disrupting operations or supply continuity?
Opportunities are often missed in:
- Incorrect or outdated harmonized tariff schedule (HTS) classifications.
- Failure to monitor tariff exclusions or changes.
- Lack of visibility into product-level duty impact.
Without real-time insight, companies default to existing processes instead of optimizing.
What role can artificial intelligence (AI) realistically play in improving trade compliance decision-making?
AI can significantly accelerate classification and improve consistency by analyzing product data and identifying the most relevant HTS codes. It also enables continuous monitoring of regulatory changes, helping teams proactively identify risk instead of reacting after the fact.
How can AI help manufacturers and suppliers reduce the risk of costly classification errors?
AI reduces risk by:
- Standardizing classification decisions across products.
- Highlighting inconsistencies or missing data.
- Applying pattern recognition to large datasets.
This improves accuracy while reducing the reliance on manual processes.
What limitations should companies keep in mind when evaluating AI tools for trade compliance and tariff management?
AI is not a replacement for expertise. It depends on the quality of input data and requires human oversight. Companies should look for solutions that provide transparency, explainability and audit trails, not just automated outputs.
How should manufacturers balance automation with human oversight in areas such as classification, documentation and regulatory interpretation?
The most effective model is human-in-the-loop. AI handles speed and scale, while humans validate decisions and ensure compliance defensibility. This balance allows organizations to move faster without increasing risk.
Why is duty drawback getting more attention now and why has it historically been underused by many companies?
Duty drawback is gaining attention because tariffs have increased the financial impact of duties. Recovering even a portion of those costs can significantly improve margins. Historically, it has been underused due to complexity, data requirements and lack of visibility into eligibility.
What should manufacturers understand about duty drawback as a cost recovery strategy in the current tariff environment? What common barriers prevent companies from taking advantage of duty drawback programs even when they may qualify?
In a tariff-heavy environment, duty drawback has moved from a niche program to a meaningful margin recovery opportunity. With elevated duties from programs like Section 301, Section 232 and AD/CVD measures, the amount of recoverable cost tied to exports has increased significantly. For manufacturers, that import components and then export finished goods, drawback can represent a substantial source of savings.
However, it’s not a simple rebate program, but a data-driven process that depends on precision, traceability and consistency. To successfully claim drawback, companies must be able to clearly demonstrate the relationship between what was imported, what duties were paid and what was ultimately exported. That requires a level of data integrity and coordination that many organizations don’t yet have in place.
Manufacturers should think of duty drawback as an extension of their broader trade compliance strategy. The same elements that drive strong compliance (accurate classification, structured product data and continuous monitoring) also determine whether drawback opportunities can be identified and executed. When those foundations are in place, drawback becomes far more accessible and scalable.
In practice, companies that have invested in better compliance infrastructure are seeing tangible results. For example, manufacturers that improve classification accuracy and maintain up-to-date trade data are better positioned to optimize not only duty payments, but also free trade agreement eligibility and drawback claims. With the right systems in place, organizations can move from ad hoc recovery efforts to a more systematic approach that consistently captures available savings.
That said, several common barriers prevent companies from fully leveraging duty drawback even when they qualify:
- Incomplete or inconsistent product and entry data: Drawback depends on accurate historical records. If product descriptions, classifications or entry data are inconsistent or missing, it becomes difficult to validate claims or prove eligibility.
- Difficulty linking imports to exports: One of the biggest challenges is establishing traceability between imported inputs and exported goods. Without clear product-level mapping, companies may not be able to demonstrate the required linkage.
- Classification inconsistencies: If HTS classifications vary across similar products or over time, it can complicate or invalidate drawback claims. Consistency is critical for defensibility.
- Limited visibility into eligibility: Many companies simply don’t know which products or transactions qualify. Without tools to analyze duty exposure and export activity together, opportunities go unnoticed.
- Manual, resource-intensive processes: Drawback programs have historically required significant manual effort, from data gathering to documentation and filing. Teams with limited bandwidth often deprioritize it in favor of more immediate operational needs.
- Lack of internal ownership or expertise: Responsibility for drawback is often fragmented across compliance, finance and logistics, making it difficult to execute a coordinated strategy.
The underlying theme across all of these barriers is data. Without a strong, centralized and accurate data foundation, duty drawback is difficult to scale and even harder to sustain.
As tariffs continue to put pressure on margins, more manufacturers are reevaluating drawback as part of a broader cost recovery and mitigation strategy. Those that invest in improving data quality, classification consistency and visibility across their import and export flows are the ones most likely to unlock its full value. Ultimately, duty drawback isn’t just about recovering past costs, but about building the operational capability to identify and capture savings continuously in a complex and changing trade environment.
How can manufacturers identify whether they are leaving money on the table in areas such as tariff mitigation and duty recovery?
They should evaluate:
- Classification accuracy across their product catalog.
- Exposure to special tariffs like Sections 301 or 232.
- Eligibility for exclusions or drawback programs.
If these areas are not being actively monitored, there is likely untapped opportunity.
What should plant, supply chain and procurement leaders be asking internally as they evaluate their exposure to tariffs and compliance risk?
Key questions include:
- Do we have confidence in our HTS classifications across all SKUs?
- How quickly can we identify which products are impacted by a tariff change?
- Are we calculating landed cost early enough to influence sourcing decisions?
- Do we have audit-ready documentation for our compliance decisions?
These questions reveal gaps in visibility and control.
Looking ahead, how do you see tariffs, trade compliance and AI shaping decision-making for manufacturers and suppliers over the next several years?
Trade compliance will become more integrated into core business decision-making. AI will enable faster, more consistent classification and real-time monitoring, allowing companies to act earlier in the product life cycle. At the same time, tariff volatility will continue to make compliance a key driver of cost and risk. Organizations that combine automation with strong governance and data discipline will be best positioned to compete.
