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Terrified of Tariffs? Three Key Strategies to Implement Tariff Optimization and Create Adaptive Supply Chains

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Terrified Of Tariffs? Three Key Strategies To Implement Tariff Optimization And Create Adaptive Supply Chains

Global trade is riddled with uncertainties. Trade agreements have long existed to try to reduce some of that uncertainty, create a more even playing field, or to create mutually advantageous trade conditions between specific countries. The significant increase in tariffs proposed by the upcoming Trump administration adds to the challenge of businesses working to safeguard profitability. Tariffs hit hard on the bottom line by hiking up costs across supply chains, thereby affecting sourcing, manufacturing, and distribution decisions. However, if organizations adopt proactive tariff optimization strategies and build adaptive supply chains, these challenges can be turned into opportunities. Here’s how.
Understanding Tariff Dynamics
Optimization for tariffs requires that organizations understand how tariffs play into their supply chains and that they model their impact. Having a supply chain digital twin set up makes the process of understanding the impact of tariffs much easier. However, understanding tariffs in detail is only the first step, especially when they are constantly evolving. Below are some of key areas businesses need to familiarize themselves with to understand tariff dynamics:

A) Tariff Points in the Supply Chain

Tariffs can be imposed at any of the following levels: raw material, manufactured or semi-finished goods, or finished products. Knowing the product tariff points is crucial to enable enterprises to identify specific areas where costs are likely to be affected and create effective strategies for dealing with such impacts. The following are the stages of a product in its journey from raw material to the final consumer and where impact can occur:

1. Raw Material Stage:

Impact: Tariffs on raw materials, like metals, minerals, or agricultural products, directly increase input costs to the manufacturers.

Strategy: Diversification of raw materials sources, exploration of alternative materials, or investment in domestic production are some of the ways to limit exposure to the tariff.

2. Intermediate Goods Stage:

Impact: Tariffs on intermediate goods, like components or semi-finished products, will increase the manufacturing cost.

Strategy: Reshoring production, regionalizing supply chains, or finding alternative suppliers are among the strategies available to mitigate the impact of tariffs on intermediate goods.

3. Finished Goods Stage:

Impact: Finished goods tariffs can be so high that it increases the cost of goods sold, therefore impacting pricing and competitiveness in the marketplace.

Strategy: Product redesign, value-added manufacturing, and duty drawback are a few of the numerous potential strategies to implement to lower the tariff burden.

B) Rules of Origin

“Rules of origin” refers to regulations that identify the country of origin of a product and the tariff rates on that product. These are often complicated rules that differ for each commodity, state, or country.

Key considerations for rules of origin regulations:

Substantial transformation:

The product is substantially transformed in a country so it can be said to have originated from that country thereby avoiding a tariff.

Example: Aluminum ingots are imported from China into the U.S. and then fabricated into aluminum car parts. The fabrication process in the U.S. is considered a substantial transformation because the aluminum ingots are converted into an entirely new product with a different name, character, and use.

Regional value content:

A minimum percentage value of the product added within the specific region or economic block.

Example: A pickup truck assembled in Mexico using parts from the U.S. and Canada must meet the USMCA rule requiring 75% regional value content. If the truck’s total value is $30,000, at least $22,500 of the value must come from the USMCA region (U.S., Mexico, and Canada) to receive tariff-free treatment under USMCA.

Change in tariff classification:

There should be sufficient change in the tariff classification of the merchandise for the item to get preferential treatment.

Example: Imported raw cocoa beans (HS code: 1801) from Ghana are processed in the U.S. into chocolate bars (HS code: 1806). The significant processing alters the HS classification from raw cocoa beans to finished chocolate bars, qualifying the chocolate bars as a U.S.-origin product for preferential trade treatment under trade agreements that require a change in tariff classification.Understanding such rules helps companies to streamline their supply chains in order to reduce the tariff costs effectively.

C) Effect of Value Addition

Value addition is enhancing the value of a product by transforming raw materials or semi-finished goods into a more finished or marketable form, thereby increasing its worth. The more value addition, the higher the tariff rate. The implication of this on strategy:

Domestic Value Addition:

Companies can bring about value addition within their home countries in order to reduce the impact of tariffs on the imported components.

Example: A company imports semiconductors but designs and assembles final electronic products in the U.S. By adding domestic innovation and assembly, it minimizes tariff impact and qualifies as a U.S.-origin product under certain rules.

Strategic Sourcing:

This would involve sourcing components from countries that have lower value-added requirements, hence reducing tariff costs.

Example: A U.S. clothing brand sources fabric from Vietnam, which has a trade agreement with the U.S. requiring lower value addition thresholds for tariff reductions.By strategically sourcing from Vietnam instead of China, the company reduces overall tariff liability.

D) Dependent and Independent Variables:

Tariffs as a Double-Edged Sword

Whether tariffs are dependent or independent variables has a significant impact on how they impact companies.

Dependent Variable:

Tariffs are often dependent on trade agreements, geopolitical factors, and economic conditions. For instance, a country can negotiate preferential trade agreements with its trading partners, thus enjoying lower tariffs.

Independent Variable:

Tariffs can also be independently imposed regardless of the state and conditions of the trade agreements. This builds uncertainty for companies and makes consumers nervous about cost increases.

Tariffs could have positive or negative impacts depending on the scenario

Now that we have seen the factors that impact tariffs, the following examples illustrate three real-life scenarios of tariffs (both positive and negative):

Solar Industry:

● Section 201 Tariffs: In 2018, the Trump administration imposed tariffs on imported solar cells and modules under Section 201 of the Trade Act of 1974. This significantly increased the cost of solar energy projects, slowing the growth of the U.S. solar industry and leading to job losses.

Automotive Industry:

● Section 232 Tariffs: The Trump administration also imposed Section 232 tariffs on steel and aluminum imports, which are crucial components in automobile manufacturing. These tariffs increased the cost of producing vehicles in the U.S., making them less competitive in the global market.

Residential Appliances Industry:

● Section 201 Tariffs: The Trump administration imposed 20% Section 201 tariffs on imported large residential washing machines.Companies like Whirlpool expanded U.S. operations, creating more jobs and boosting local economies. After initial price increases, competition among domestic manufacturers drove prices down, leading to affordable options for consumers.
Key Strategies to Optimize Tariffs and Build Adaptive Supply Chains
In our opinion, tariffs are a constraint that must be modeled within the end-end supply chain model in addition to all other constraints such as production, logistics, consumer demand, interest rates, taxes, etc. Objectives such as costs, margins, resiliency, and sustainability must simultaneously be optimized to meet these goals.

In real-life it is not possible to optimize all objectives equally and hence the corporate and societal goals drives the priorities. For instance, is the goal to maximize corporate profits while not taking into consideration the goals of the society of improving employment or sustainability vs trying to balance profits with societal goals such as increased employment. In other words, it is important to have a clear idea of the objective and constraints. There are three strategies that companies can adopt in order to optimize around the constraints imposed by tariffs and build adaptive supply chains.

A) Integrated Scenario Planning

Integrated scenario planning lets companies model the effect of potential tariffs on their supply chain. Building adaptive supply chains equips organizations with the ability to react faster and more positively toward these changes. This includes:

Modeling Different Scenarios:

Quantify how tariffs change with regard to variables such as supply chain geography and the level of value addition.

Manufacturing Footprint Optimization:

Evaluate the cost-benefit tradeoffs of moving production to locations closer to key markets as a means of minimizing tariff exposure.

Sustainability improvements are often a byproduct of manufacturing footprint optimization.

Ensure that sustainability is one of the objectives modeled.

Export-Import Offsets:

Identify cases where exports can be used to offset import tariffs while maintaining balanced and strategic trade flows.

Antifragility:

Developing a highly adaptive supply chain – one that can move fast in response to disruptions, such as unexpected tariff increases. An antifragile supply chain improves supplier diversification, reduces capability redundancy, and can deploy advanced technologies quickly.

B) Optimizing Sourcing and Diversification

Being dependent on one country or one supplier greatly increases the risk to business due to tariffs. Diversification can be achieved in several ways:

Regional Sourcing:

Lessen the impact of tariffs by sourcing supplies from countries that have favorable trade pacts with the consuming countries.

Nearshoring and Onshoring:

Improve supply chain resilience and potentially avoid tariffs by moving production closer to home markets.

Optimize Supplier Mix:

Adopt a diverse mix of suppliers, irrespective of whether companies are nearshoring or offshoring, can help ensure that ESG goals are met.

Optimize Product – Production Type Mix:

Minimize the impact of tariffs by identifying opportunities for semi-finished goods import and final assembly versus importing finished goods. CKD (completely knocked down) kits for automotive is an example of countries performing final assembly to avoid tariffs.

C) Cost-to-Serve Models

Adopting the cost-to-serve model enables companies to adopt real-time measures to offset tariff effects. This will include:

Transport Node, Flow, and Mode Optimization:

Cost-to-serve models allow the consideration of different nodes of warehouses, cross-docks, and production facilities. Flows indicate the transportation of materials from one node to another using a transportation method such as air, rail, or truck. Tariffs will be an input factor to decide on the nodes, flow, and modes of the supply chain network.

Cost-Revenue Analysis:

Know how the tariff will impact the profitability of every product at various touchpoints in the supply chain.

Incremental Costing:

Understand how the imposition of the tariff impacts production and distribution costs and make decisions on cost absorption, offsetting, or passing on.

AI-Driven Insights:

Leverage AI and machine learning to get ongoing analyses of the tariff scenarios for next-best responses.

Companies can stay ahead of all the complexities of the global trade landscape and come out more robust by embracing scenario-based decision-making and building adaptive supply chains. Download the white paper, 6 Strategies for Building an Adaptive Supply Chain, to understand how institutionalized scenario-based decision-making helps you handle all types of disruptions with peace of mind.

Nari Viswanathan
Sr. Director, Product Segment Marketing, Coupa

Nari is currently Sr. Director of Product Segment Marketing at Coupa, where he brings products to markets in the areas of Direct Material Procurement and Supply Chain Design and Planning. Over the past 20 years, Nari has held VP and Director of Product Management, Research and Marketing roles at Aberdeen Group, River Logic, Steelwedge and E2open. He has significant experience building products from the ground up and managing the P&L for a product suite. He is a proven B2B marketer with expertise in content marketing, competitive intelligence, and positioning. He has published numerous thought leadership articles, whitepapers, blogs and delivered dozens of webinars during his career. Nari Viswanathan is a six times SDCExec Supply Chain Pro to Know award winner. Nari holds a master’s degree in Manufacturing Systems Engineering at the University of Wisconsin-Madison and a bachelor’s degree in Mechanical Engineering at the Indian Institute of Technology, Chennai.

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The Freight Forwarder Moat Is Getting Shallower

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The Freight Forwarder Moat Is Getting Shallower

Ocean freight forwarding is an $80+ billion market bogged down by the manual processes related to booking management, documentation services, and the coordination labor that holds it all together.

When working with a freight forwarder, you’re buying three things bundled together:

Carrier relationships — access to capacity, negotiated rates, allocation commitments.
Operational data — knowing which carrier fits a given lane, what documents a particular trade corridor requires, how to handle an exception when a booking gets rejected.
Coordination labor — the booking itself, the documents per container (industry estimates range from 9 to 18 depending on the corridor), the re-keying of data across disconnected systems, the email chains chasing confirmations and clearances.

Shippers have always paid for the bundle because you couldn’t get one piece without the others, but that’s changing.

Where the bundle comes apart

Travel agents used to bundle airline relationships, destination expertise, and the labor of putting trips together into a single fee. Aggregator platforms unbundled the pieces, and the booking layer went first because that’s where the volume was. Ocean freight forwarding is in the same position. More than digitizing booking, though, AI is automating it.

The bulk of the volume and labor cost for freight forwarders is tied up in rate comparisons across dozens of carriers, document preparation and routing by trade lane and commodity classification, booking execution against pre-negotiated contracts, and exception triage on rejected bookings.

But this is all high-volume, rule-governed, multi-system coordination where speed and consistency matter more than creativity. Exactly the type of work that AI agents are well-equipped to handle.

Platforms can now ingest a rate agreement, parse surcharges and FAK provisions into a digital rate profile, compare carriers on cost, transit time, and schedule reliability, and execute a booking based on pre-defined parameters, without a human in the loop.

Automating the entire order lifecycle

Every dollar of margin exposure in ocean freight traces back to a decision made without complete information. That means that every action must be rooted in live network data across shipment flows, carrier performance, and insight from inventory and order systems. A platform with that intelligence can automate and accelerate the full workflow from detecting a supply shortfall, selecting a carrier, booking the container, managing the documents, tracking the shipment, and handling exceptions.

A shipper stitching together a rate tool from one vendor, a booking portal from another, a document system from a third, and a visibility feed from a fourth gets digitization. They get a slightly faster version of the same manual process. The full picture still lives in a person’s head, and the handoffs between systems still require human coordination.

While freight forwarders and other intermediaries are also investing in AI, they’re primarily automating their own coordination labor before someone else absorbs it. But they can’t replicate the data advantage of a platform that sits across the entire supply chain.

A forwarder automating its booking desk draws on its own transaction history. A point solution built specifically for ocean booking draws on booking data. A platform processing millions of supply chain events daily across orders, inventory, carrier performance, and live shipment status, has a different signal base entirely. Carrier selection informed by real-time schedule reliability, live network disruption, and your actual inventory positions is structurally more accurate than carrier selection informed by historical rate tables.

The shrinking intermediary layer

The moats around freight forwarders’ profit margins are eroding, and the lines between legacy endpoint solutions are blurring. High-complexity corridors and specialized commodities still need human expertise, but the bread-and-butter containerized freight that makes up the bulk of forwarder revenue is the volume where automated workflows shine.

Meanwhile, software providers will have a hard time selling dashboards and chatbots to specific teams compared to AI-native platforms offering a single operating system across all supply chain operations, and serving downstream stakeholders.

The question for forwarders is how long they can keep patching automation onto a fragmented architecture with a booking tool here, a document system there, people bridging the handoffs in between. And how much revenue sits in structured, repeatable work that a connected platform absorbs?

For shippers, the choice is whether to invest in a platform that automates the order-to-delivery and exception lifecycle, or keep paying others to hold the pieces together. The second option is a decision to fund the intermediary layer sitting between them and their own data.

The post The Freight Forwarder Moat Is Getting Shallower appeared first on Logistics Viewpoints.

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Supply Chain and Logistics News Week of May 7th 2026

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Supply Chain And Logistics News Week Of May 7th 2026

The logistics and supply chain landscape is undergoing a fundamental transformation as industries move from rigid, low-cost models toward strategies defined by agility and resilience. This week’s roundup explores how major players are navigating this shift, from Amazon’s bold move to offer its massive infrastructure as a standalone service to Ford’s strategic manufacturing reset in the EV sector. We also dive into the critical human element in modern cost engineering, the logistical reimagining of energy corridors due to geopolitical risks, and the new AI-driven tools closing the gap between inventory detection and real-time execution. Together, these developments highlight a common theme: the pursuit of flexibility and data-driven intelligence in an increasingly unpredictable global market.

Top Supply Chain Stories from this Week:

Modern Cost Engineering Evolution: Rewiring the Human Element for Supply Chain Resilience

In the latest shift for cost engineering, the focus is moving beyond purely digital tools to address the critical human element required for true supply chain resilience. As industrial organizations transition from traditional backward-looking estimates to modern “should-cost” methods powered by AI and digital twins, the real challenge lies in workforce transformation. Success in this new landscape requires a significant cultural shift, moving away from isolated departmental silos toward cross-functional collaboration. By reskilling traditional estimators to act as strategic consultants—capable of interpreting material science and operational constraints—companies can evolve from simple price negotiation to collaborative manufacturing improvements that ensure mutual profitability and long-term stability.

Hormuz Risk Is Redrawing the Supply Chain Geography of Energy

Geopolitical instability in the Strait of Hormuz is forcing a fundamental shift in energy logistics, moving the industry away from lowest-cost network design toward a risk-adjusted model. With the waterway handling roughly 20% of the world’s oil and liquefied natural gas, repeated disruptions have transformed infrastructure like pipelines, storage terminals, and deep-water ports outside the Persian Gulf into high-value strategic assets. Nations and corporations are no longer viewing these as simple logistics nodes, but as essential escape routes that provide the optionality and recovery time needed to withstand chokepoint failures. This selective redesign of the global energy map signals a new era where geography and physical redundancy are the primary drivers of supply chain resilience.

Ford’s Manufacturing Reset Shows How Automakers Are Rebuilding the EV Supply Chain

Ford’s manufacturing pivot represents a fundamental shift from aggressive electric vehicle expansion toward capital discipline and supply chain flexibility. By taking a $19.5 billion write-down and restructuring battery joint ventures, the company is moving away from rigid, single-purpose production lines in favor of multi-energy platforms that can adapt to fluctuating demand for hybrids and EVs. A key component of this reset is the repurposing of battery manufacturing assets in Kentucky and Michigan for stationary energy storage and data center support. This strategy transforms these facilities into flexible energy infrastructure rather than just automotive supply nodes. Ultimately, Ford is signaling that the next phase of the market will be defined by the ability to manage uncertainty through cross-functional asset utilization and a focus on manufacturing-driven affordability.

How FourKites Connects Stockout Detection to Freight Execution in Minutes

FourKites has launched a unified solution that bridges the gap between stockout detection and freight execution, reducing resolution time from hours to less than five minutes. By integrating its Inventory Twin and Booking Connect AI, the platform eliminates the traditional “manual scavenger hunt” where planners had to jump between ERPs and carrier portals to resolve inventory gaps. The system uses decision intelligence to identify stockout risks up to six weeks in advance and provides ranked recommendations for corrective transfers based on cost, speed, and carrier performance. This closed-loop workflow allows planners to execute optimized shipping options with a single click, addressing the massive financial impact of inventory distortion and reducing the need for expensive, unplanned expedited shipping.

Amazon Launches “Supply Chain Services” Leveraging its Global Logistics Network

Amazon has officially launched Amazon Supply Chain Services (ASCS), a move that decouples its massive logistics infrastructure from its retail marketplace to serve as a standalone utility for all businesses. Similar to the trajectory of Amazon Web Services (AWS), the platform opens up Amazon’s multimodal freight, automated warehousing, and last-mile parcel delivery networks to companies regardless of whether they sell on Amazon. Major early adopters like Procter & Gamble, 3M, and Lands’ End are already leveraging the service to move everything from raw materials to finished products. By consolidating fragmented logistics contracts into a single automated interface, Amazon aims to use its scale—currently moving 13 billion items annually—to provide businesses with end-to-end visibility and 96.4% on-time delivery rates, signaling a significant new challenge to traditional 3PLs and carriers like FedEx and UPS.

Song of the week:

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How FourKites Connects Stockout Detection to Freight Execution in Minutes

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How Fourkites Connects Stockout Detection To Freight Execution In Minutes

FourKites is bridging the gap between identifying a problem and solving it. With the integration of Inventory Twin and Booking Connect AI. Traditionally, supply chain planners have been stuck in a manual scavenger hunt whenever a stockout alert surfaced, jumping between ERPs to find surplus stock and carrier portals to secure freight. This fragmented process typically took hours, often forcing companies to rely on expensive, last-minute expedited shipping or facing steep On-Time In-Full (OTIF) penalties to avoid customer dissatisfaction. By unifying these disparate data streams, the new solution allows teams to detect risks two to six weeks in advance and execute corrective transfers from a single, seamless workflow.

The impact on operational efficiency is significant, reducing the resolution time from detection to execution from several hours to less than five minutes. Instead of just receiving a warning, planners are presented with recommendations powered by Decision Intelligence that include the fastest, cheapest, and most optimal shipping options based on real-time carrier performance data. This closed-loop system directly addresses the 1.73 trillion dollar global issue of inventory distortion and aims to eliminate the 15-25 hours planners previously spent on manual coordination.

By keeping a human in the loop to select the best recommendation with a single click, FourKites ensures that exceptions are resolved without ever leaving the platform. This integration helps protect freight budgets, where unplanned expedited shipping often consumes up to 48% of total spend. This launch represents a shift from reactive firefighting to proactive execution, allowing teams to move away from costly safety stock and focus on high-value responsibilities. Supply chain planner responsibilities are changing with the continued developments of AI and the de-siloing of disparate systems.

FourKites is a supply chain technology provider that operates a global real-time visibility network tracking over 3.2 million shipments daily across 200 countries and territories. By integrating data from 1.1 million carriers across all modes (road, rail, ocean, and air), the platform uses AI-powered “digital workers” to automate exception resolution and provide predictive insights. More than 1,600 global brands, including leaders in the CPG and Food & Beverage sectors, trust FourKites to transform their logistics from reactive tracking into proactive, intelligent orchestration.

Read the full ARC brief breaking down the new FourKites solution here: https://www.fourkites.com/research/arc-advisory-stockout-detection-freight-execution/

The post How FourKites Connects Stockout Detection to Freight Execution in Minutes appeared first on Logistics Viewpoints.

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