Navigating Tariff Volatility with Decision Intelligence: A Strategic Framework
Aggressive tariffs designed to reshore U.S. manufacturing have become a major concern for C-suite executives in 2025. These rapidly evolving policies are not mere regulatory challenges — they represent a fundamental shift in global trade dynamics, demanding an immediate and strategic response from businesses with cross-border operations.
These new financial measures intensify the difficulties in an already challenging landscape struggling through supply chain disruptions and increasing competition. Now, without a sophisticated, proactive tariff strategy that integrates harmoniously into existing operations and tech stacks, organizations risk shrinking profits, weakened supply chain performance, and declining customer satisfaction and market share.
The decision intelligence at the core of Aera Decision Cloud™ offers a powerful solution to these challenges.
Decision Intelligence Use Cases for Tariff Management
Given the volatility and urgency of this topic, let’s dive into the key use cases where tariff-driven supply chain disruptions create significant challenges for businesses worldwide. Decision intelligence (DI) can significantly enhance a company’s ability to navigate such disruptions. By leveraging DI, companies can create adaptive systems that improve decision-making in real time, leading to more effective responses and strategies.
Use Case 1: Predictive Risk Assessment and Scenario Modeling
One of the key capabilities of decision intelligence is predictive analytics. By integrating real-time data from trade regulations, historical patterns, and market conditions, DI systems can forecast the likelihood of new tariffs and their potential effects on different parts of the supply chain. This helps businesses prepare for disruptions before they occur, enabling proactive measures such as adjusting sourcing strategies, optimizing inventory, or diversifying suppliers.
For example, a DI system could predict how a proposed tariff would affect the cost of raw materials from a specific region and provide alternative supplier recommendations or pricing strategies.
Use Case 2: Dynamic Sourcing and Supplier Optimization
When tariffs cause supply chain disruptions, companies often need to find new sources of goods to maintain operations. Decision intelligence systems use advanced optimization algorithms to assess and recommend the best suppliers based on factors such as cost, quality, reliability, and proximity to avoid additional tariffs or delays. These systems continuously evaluate multiple factors, such as potential changes in tariffs or international trade agreements, to recommend the best alternative suppliers or markets, in real time, allowing companies to mitigate the impact of tariffs and maintain an advantage over competitors.
For instance, if a new tariff is placed on Chinese steel imports, a DI system could recommend shifting sourcing to other countries with lower tariffs or exploring domestic production options.
Use Case 3: Inventory Management and Optimization
Tariff-induced supply disruptions often lead to inventory shortages or excesses. DI systems help manage inventory by using algorithms that assess demand forecasts, supply constraints, and tariff impacts on production timelines. By dynamically adjusting inventory levels and replenishment cycles based on real-time data, DI can ensure that companies don’t face stockouts or overstocking, which reduces their costs while maintaining the satisfaction of their customers.
For example, a company can use DI to proactively adjust inventory levels of raw materials and finished goods when anticipating tariff-related supply disruptions. This helps prevent production delays and ensures a steady flow of critical components.
Use Case 4: Price and Cost Optimization
Tariffs often lead to higher costs for businesses that rely on imported goods. Decision intelligence can help companies determine the optimal pricing strategies to absorb increased costs while remaining competitive. By analyzing price elasticity, customer preferences, and competitive pricing strategies, DI systems can dynamically suggest price adjustments that maintain profitability and market share. Additionally, they can recommend internal cost-cutting measures or help identify areas where operational efficiencies can be achieved.
For instance, a DI system could automatically recommend price increases in markets where customers are less sensitive to price changes or suggest product modifications to offset tariff costs.
Use Case 5: Regulatory and Compliance Monitoring
Governments frequently update trade regulations and tariffs, making it difficult for businesses to stay compliant. Decision intelligence systems can be designed to continuously monitor regulatory changes and tariffs across different regions, ensuring that businesses remain compliant without having to manually track the updates. By analyzing these changes and correlating them with supply chain risks, DI systems can recommend actions, such as adjusting the product portfolio or shifting production locations to mitigate the impact of tariffs.
For example, if a government changes tariffs on imports from certain countries, the DI system would alert relevant teams and propose a compliance strategy to avoid penalties or trade restrictions.
Why Compliance Alone Isn’t Enough
The rapid onslaught of new trade policies is further complicating an already strained operating environment. Previously, planning teams were tasked with managing increasing supply chain disruptions and making a growing number of unmade decisions. Today they must now contend with additional layers of complexity based on the introduction of transnational tariffs that can change on a dime, significantly increasing organizational pressure and, more importantly, escalating risks when changes aren’t addressed in real time.
Before we delve deeper into why decision intelligence is the optimal solution for navigating tariff volatility and enhancing overall supply chain performance, it's crucial to address a common misconception: that decision intelligence is a cutting-edge technology reserved solely for mature organizations with perfectly honed data management strategies. This simply isn’t the case. Aera Technology is equipped to partner with companies across the maturity spectrum. The most important takeaway here is that getting started is paramount, and we are committed to guiding you toward success on your decision intelligence journey.
In fact, regardless of where your organization stands in terms of data maturity, recognizing the importance of adopting AI technologies to ingest, harmonize, and analyze data is the critical first step. By taking the leap to embrace solutions that can mitigate the impact of tariffs, you immediately elevate the urgency and necessity of adopting technologies that can keep pace with today's rapidly evolving and complex business landscape. Whether your data is perfectly structured or still a work in progress, starting your decision intelligence journey now will position you to better manage and optimize your supply chain amidst ongoing disruptions.
As Gartner has noted, "Executive leaders who anticipate that current tariff volatility will persist for years, rather than months, must understand that businesses cannot emerge successfully by staying the same as they are today. The winners will reinvent or reinvigorate their business strategy, developing new capabilities that drive competitive advantage.
This observation rings particularly true as 60% of companies are already overhauling their supply chains in response to tariff uncertainty and market volatility. The message is clear: adaptation isn't just beneficial — it's essential for survival.
Why Traditional Solutions Fall Short
In a previous blog, Why Decision Intelligence is the “Last Mile” in Enterprise Software, we examined why existing technologies aren't equipped to effectively tackle the complexities of today’s business landscape. With this new wrinkle, that analysis resonates more than ever. Traditional supply chain planning systems, while valuable, struggle to meet today's dynamic challenges. Their static planning cycles can't keep pace with rapid changes, and their scenario modeling capabilities remain limited. These systems typically operate reactively rather than predictively, hampered by siloed data architectures that prevent comprehensive analysis of complex tariff implications.
Similarly, conventional business intelligence (BI) tools show significant limitations in addressing today's tariff challenges. Their focus on historical data rather than predictive insights leaves organizations vulnerable to emerging risks. The insufficient real-time capabilities and heavy reliance on manual intervention make it nearly impossible to respond swiftly to tariff changes. Without automated decision-making features, companies struggle to scale their response to rapidly evolving trade policies.
In short, companies committed to maintaining their competitive edge must embrace a new way of thinking.
Decision Intelligence: Transforming Tariff Management in Global Trade and More
As we've discussed, the world has fundamentally changed, and complexity, volatility, and uncertainty are unlikely to diminish anytime soon. Preparing for the future is the only way forward. Decision intelligence has emerged as the most powerful and transformative solution to combat the new normal, combining advanced analytics, artificial intelligence, and predictive modeling to revolutionize how businesses navigate a VUCA world — one marked by volatility, uncertainty, complexity, and ambiguity.
Decision intelligence represents a breakthrough technology that transforms how organizations handle both tariff management and supply chain optimization. Aera Decision Cloud, with DI at its core, is a comprehensive platform that combines advanced data analytics with predictive modeling to generate AI-driven insights, converting disparate and complex data streams into actionable intelligence. What sets DI apart from traditional analytics technologies is its ability to go beyond historical data analysis — it not only anticipates future scenarios and recommends optimal strategies but also executes these decisions across integrated systems. This end-to-end automation delivers unprecedented consistency and visibility across global operations, enabling organizations to achieve a level of unified decision-making that was previously impossible.
Specifically for tariff management, decision intelligence excels at both anticipating potential supply chain challenges and revealing hidden opportunities. By continuously analyzing global trade data, DI empowers teams to pinpoint vulnerable products and components and discover optimal, often overlooked, strategies to meet customer demand. This proactive approach enables organizations to optimize their supply chains by evaluating alternative sourcing options and suppliers before tariff changes impact their bottom line.
Building Future-Proof Organizations
The true value of decision intelligence lies not only in future-proofing organizations against trade volatility, but also in its capacity to digitize decision-making across the enterprise through readily available and custom-built capabilities. Aera Decision Cloud is an agent-based SaaS platform that delivers unmatched agility, enabling organizations to maximize existing resources while fostering cross-functional capabilities that adapt to evolving needs.
The system provides enhanced visibility into extended supplier networks, enabling organizations to identify and mitigate risks before they impact operations. This comprehensive view, combined with AI-driven continuous improvement, ensures that organizations stay ahead of market changes rather than reacting to them.
The Path Forward
As global trade complexity continues to increase, decision intelligence becomes not just an advantage but a necessity. Organizations that embrace DI position themselves to:
- Transform tariff management from a reactive process to a strategic advantage
- Build resilient supply chains that adapt automatically to change
- Optimize costs while maintaining competitive positioning
- Ensure regulatory compliance without increasing overhead
- Develop sustainable, scalable operations that grow with their business
The future of global trade belongs to organizations that can navigate complexity with intelligence and agility across multiple business functions. Decision intelligence provides the tools and capabilities to make this future a reality today.
To learn more about Aera Technology’s approach to mitigating tariff impacts, request a demo of our solution today.
Industry-Specific Impacts of Tariffs
Consumer Packaged Goods (CPG)
- While many CPG products are “assembled” in the U.S., they rely heavily on imported raw materials such as cocoa, spices, coffee, and other ingredients subject to tariffs.
- Packaging costs will be impacted 25% on steel and 10% on aluminum.
Pharmaceuticals
- A 10% increase in pharmaceutical costs is expected due to tariffs.
- Approximately 80% of active pharmaceutical ingredients (APIs) used in U.S. drugs are sourced overseas, with China being a major supplier. Tariffs on these imports will significantly raise production costs and exacerbate drug shortages.
Medical Devices
- The U.S. heavily relies on imports for medical equipment and supplies, particularly from China.
- In 2024 alone (as of May 2), the U.S. imported $14.9 billion in medical equipment, compared to $14 billion during the same period in 2023 (Census Bureau).
- About 69% of U.S.-marketed medical devices are manufactured entirely outside the U.S., making them highly vulnerable to tariff increases.
Automotive
- Tariffs have led to a 15–20% increase in steel costs, directly impacting automotive manufacturing.
- Automotive components often cross borders multiple times before final assembly, compounding the cost implications of tariffs at each stage. This significantly affects profitability and pricing strategies.
High Tech Hardware Manufacturing
- A 10% increase in the cost of goods sold (COGS) due to tariffs could nearly eliminate operating income for PC and server vendors, whose typical operating margins are only 5–10%.
- Sales of laptops and tablets could decline by up to 68%, while smartphone purchases could drop by 37%, severely impacting high-tech manufacturers.
Energy
- Rising energy costs due to tariffs will increase overhead for manufacturers, further squeezing profit margins.
- Companies may struggle to offset these additional costs while maintaining competitive pricing.