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Uncertainty surges again as SCOTUS decides and Trump responds – February 24, 2026 Update

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Uncertainty surges again as SCOTUS decides and Trump responds – February 24, 2026 Update

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Published: February 24, 2026

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Weekly highlights

Ocean rates – Freightos Baltic Index

Asia-US West Coast prices (FBX01 Weekly) decreased 3%.

Asia-US East Coast prices (FBX03 Weekly) decreased 1%.

Asia-N. Europe prices (FBX11 Weekly) decreased 1%.

Asia-Mediterranean prices(FBX13 Weekly) increased 2%.

Air rates – Freightos Air Index

China – N. America weekly prices decreased 15%.

China – N. Europe weekly prices decreased 9%.

N. Europe – N. America weekly prices stayed level.

Analysis

The much-anticipated US Supreme Court decision arrived on Friday, striking down the Trump administration’s use of the International Emergency Economic Powers Act to enact tariffs. The president relied on IEEPA for most of last year’s tariffs, including all the country-specific tariffs and the fentanyl-related duties imposed on China, Mexico and Canada.

The move triggered a rapid response from the White House, making good on promises to reinstate IEEPA tariffs by other means in the event of a loss. Trump signed an executive order later that day introducing a 10% global tariff based on Section 122 of the Trade Act of 1974, reframing the duty as addressing a balance of payments problem. The president said on social media that he will raise the tariff to 15%, and the administration is reportedly working on an amended order, but the law went into effect Tuesday at 10%, and is valid until late July.

The ruling keeps de minimis suspended, and leaves Section 232 sectoral tariffs, and Section 301 tariffs on specific trading partners – used in 2018 for duties specific to China – intact too, but along with the long list of previous exemptions to the IEEPA tariffs. The president and other officials stated this week that they will use other means – like 232 and 301 – to restore tariffs before Section 122 expires, though these channels typically take months as they require federal agency investigations before the president can introduce duties.

The White House already has several Section 232 probes underway and is now reportedly considering opening more. And in addition to reviewing China’s compliance to the terms of its deal with the US during Trump’s first administration, it may also have opened additional China-focused 301 investigations.

The US based the many trade agreements it negotiated in the past year largely on IEEPA tariffs, raising questions as to the deals’ validity and how various trade partners will react. The administration says the US intends to honor these agreements and Trump has threatened counterparts who do otherwise. And while some countries have so far said they will stick to the deals, some high profile partners like the European Union see a 15% blanket duty as a breach of agreed tariff levels for some goods, and have paused steps to implement the agreement until they can receive clarity.

All-in-all the shift to a global 15% tariff mostly preserves the IEEPA trade barriers: Yale’s Budget Lab estimates the change reduces the overall effective US tariff rate by only two percentage points, with impacts varying by country – a five percentage point reduction for China and Vietnam, no change for the EU baseline, a five-point increase for the UK, and the most significant reduction for Brazil (down from 40%). Overall effective tariffs on China remain around 40% due to pre-existing Section 301 duties.

So while in terms of tariff levels not too much has changed for the near term – and as of now the US appears intent on restoring and maintaining tariffs after Section 122 expires too – the more significant implication may be geopolitical.

Trump relied on IEEPA during this administration because of its speed — it allowed him to credibly threaten immediate tariffs across a wide range of, often non-trade-related, issues, including the recent Greenland drama. With that leverage gone, though we’re still likely to see Trump threaten tariffs that could ultimately materialize, the pace of US trade policy changes, and the frequency of disruptions Trump has caused for freight markets over the past year, could slow significantly.

For US shippers, the immediate question – in addition to the many questions around potential refunds – is whether or not these developments justify frontloading before the July deadline.

Where the 15% rate represents a meaningful reduction — like for Brazil — we may see a quick increase in volumes. And a five-percentage point reduction for tariffs on goods out of China and Vietnam may be enough to spur frontloading by some shippers, meaning we may see some signs of increased demand as soon as manufacturing restarts post-Lunar New Year in a week or so.

But, for many shippers, the relatively modest tariff reduction for most countries including China and Vietnam may not be enough to trigger a significant pull forward. And with the White House under cost of living political pressure; facing some open Republican opposition to tariffs; and considering expanding its list of tariff exceptions – some importers may suspect that Trump will hesitate to extend tariffs at the end of July as midterm elections loom. These factors could also keep many importers from frontloading in hopes that the tariff landscape shifts in their favor.

So, we’ll probably see somewhat stronger US import volumes in the coming months, and possibly an earlier start to peak season, than we otherwise would have, but we may not see the levels of frontloading that tariff threats spurred last year.

As container rates won’t reflect any, or even a surge of, potential frontloading until after the LNY period, transpacific rates – along with Asia – Europe prices for the same reason – were about stable last week and down from their pre-LNY highs. As rates are likely to rebound on the typical post-LNY backlog bump for all these lanes, it may initially not be possible to attribute rate increases solely to trade war developments.

Carriers have prevented rates from sliding too far over the past weeks by increasing blanked sailings on these lanes, though they will restore capacity if demand materializes post the holiday. With the current demand lull, the stop and start weather disruptions in N. Europe and the resulting congestion has not pushed rates up. This week’s major blizzard in the northeastern US also shut ports, roads and airports temporarily, but may likewise not be felt in rate levels despite likely delays and congestion.

In other ocean news, some ZIM vessels in Israel are facing port labor disruptions from union workers opposed to the planned sale to Hapag-Lloyd. And Maersk and MSC have officially taken over operations at the Panama Canal ports previously run by HK Hutchinson, despite Hutchinson’s opposition.

Finally, for air cargo, the tariff turmoil could, like for ocean freight, be reflected in some increase in US bound volumes in the coming months. But with de minimis still suspended, we’re unlikely to see a big or sudden volume surge for air cargo either. As ex-Asia freight is in its LNY lull, China – US rates dipped by 15% and prices to Europe eased almost 10% last week.

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Judah Levine

Head of Research, Freightos Group

Judah is an experienced market research manager, using data-driven analytics to deliver market-based insights. Judah produces the Freightos Group’s FBX Weekly Freight Update and other research on what’s happening in the industry from shipper behaviors to the latest in logistics technology and digitization.

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The post Uncertainty surges again as SCOTUS decides and Trump responds – February 24, 2026 Update appeared first on Freightos.

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The Systems-Engineered Logistics Operation: From Transformation Projects to Continuous Design

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For years, logistics transformation has been organized as a succession of projects. Implement the platform. Build the control tower. Automate the facility. Add the AI layer. The problem is that logistics no longer changes on a project cadence.

That environment is disappearing. The future logistics will need to be designed continuously. The Autonomous Logistics Network is one expression of this end state, but reaching it requires continuous design rather than a one-time transformation project.

Stop Thinking in Technology Stacks

Modern logistics networks are becoming integrated combinations of physical assets, software, data, optimization, AI, robotics, people, partners, and automated decisions. Calling this a technology stack understates what is happening.

It is an operating system. The important design questions are no longer confined to which applications a company owns. Leaders have to consider how decisions flow, how data maintain continuity across systems, how automation interacts with people, how models are governed, how exceptions escalate, and how the organization behaves when components fail.

That is systems engineering territory. The companies that manage this architecture deliberately will have an advantage over those that continue adding capabilities one project at a time.

Intelligence Is Moving to the Point of Action

Logistics technology is moving from systems of record toward systems of decision. Traditional applications captured transactions and supported workflows. Analytical systems added prediction and optimization. The emerging layer increasingly combines real-time signals, AI, optimization, agents, and execution connectivity.

The result is intelligence closer to the point of action. A shipment delay can be identified, its impact evaluated, alternatives generated, and a response executed with limited human intervention. Transportation systems can continuously re-evaluate routes, capacity, and exceptions instead of waiting for manual replanning. Warehouse and yard systems can adjust priorities as conditions change.

This will make logistics faster. It will also make architecture and governance more consequential.

When software only reported information, a bad output could be ignored. When software acts, the operating envelope matters.

Human Work Moves Up the Decision Stack

More automation does not eliminate the human role. It changes it.

People will spend less time collecting information, reconciling spreadsheets, monitoring routine transactions, and making repetitive bounded decisions. They will spend more time dealing with novel exceptions, cross-functional tradeoffs, strategic choices, carrier and customer relationships, system design, and governance.

That is a better use of human capability. It is also a harder job.

The future planner, transportation manager, warehouse leader, or logistics executive will need to understand not only operations but the automated systems influencing operations. They will need to know when to trust a recommendation, when to challenge it, and how a decision in one part of the system affects another. Logistics expertise will become more architectural.

Continuous Design Requires Continuous Validation

If the system changes continuously, validation must become continuous as well.

AI models drift. Business priorities change. automation rules evolve. New interfaces are added. Local process changes accumulate. External conditions move.

The organization cannot wait for the next transformation program to determine whether the operating system still meets its requirements. Performance, model behavior, exception patterns, overrides, decision latency, data quality, and failure modes will need ongoing monitoring.

This creates a closed lifecycle: design, deploy, observe, validate, improve, and redesign. Transformation becomes less of an event and more of a management discipline.

Resilience Becomes an Architectural Property

The future of resilience is also likely to move beyond static buffers. Inventory and redundancy will remain important, but digital systems will make logistics more capable of sensing, simulating, and responding dynamically.

A disruption can trigger scenario analysis. A digital twin can estimate consequences. Optimization can evaluate alternatives. AI can interpret unstructured signals. Automated decision systems can act inside approved boundaries.

This does not eliminate the need for physical resilience. It allows physical resilience and decision resilience to work together.

The strongest logistics networks will not simply carry more protection. They will understand their dependencies and reconfigure faster when conditions change.

Architecture Becomes a Competitive Capability

For years, companies differentiated logistics through network scale, facility and transportation assets, carrier leverage, operational excellence, service design, and technology investment. Architecture is becoming another source of advantage.

Two companies may use similar software and still achieve very different results because one has better process integration, clearer decision rights, stronger data, more effective automation boundaries, better failure recovery, and tighter governance. The advantage does not come from owning the component. It comes from how the components have been engineered to work together.

Logistics Management Becomes Systems Management

That may be the larger lesson of this series. Logistics networks are already systems of systems. The technology is making them more connected, more autonomous, and more adaptive. That complexity cannot be managed indefinitely through functional optimization and periodic implementation projects.

The discipline has to evolve.

Define requirements before selecting solutions. Design the operating model. Architect processes, data, and decisions together. Engineer technology into the system rather than around it. Validate the outcome. Govern change. Design for failure. Improve continuously.

The competitive advantage will not come from owning the same AI, automation, TMS, WMS, visibility, and execution technologies everybody else can buy. It will come from how coherently those components have been engineered to work together. The future of logistics management is not simply more digital, more autonomous, or more intelligent. It is more engineered.

Related Logistics Viewpoints research

Systems Engineering in Logistics
The New Architecture of Logistics
2026 Supply Chain Decision Intelligence Market Map
Digital Transformation in Logistics
Previous in this series: Design for Failure: Resilience, Risk, and Failure Modes

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If your organization is evaluating a logistics transformation, technology strategy, automation program, or operating-model redesign, I would be glad to provide the complete client edition and discuss how the framework applies to your priorities, constraints, and operating environment.

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Walmart and Symbotic: When Warehouse Automation Becomes a Network Strategy

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Warehouse automation has traditionally been discussed one facility at a time. A retailer installs an automated storage system, deploys mobile robots, adds robotic picking, or upgrades sortation. The business case is then measured against improvements within that particular building. Walmart and Symbotic are beginning to challenge that way of thinking.

On October 29, Walmart and Symbotic announced an expanded commercial agreement that will bring additional automation capabilities to 25 U.S. regional distribution centers. The agreement includes an initial commitment of approximately $6 billion, covering work over several years and multiple locations. Walmart says the initiative is intended to support upstream e-commerce inventory management, increase storage capacity, and improve the movement of products through its supply chain. Those numbers make the announcement noteworthy. But the more interesting story is what the scale of the commitment says about the next phase of warehouse automation.

From an Automation Project to an Operating Model

For years, warehouse automation investments were frequently justified around specific bottlenecks: reduced picker travel, increase storage density, improve sortation throughput, or offset labor requirements. Those are still important objectives. But Walmart is evaluating automation against something larger: the performance of an interconnected distribution network supporting stores, pickup and home delivery.

Rob Montgomery, executive vice president for Walmart U.S. Supply Chain Operations, tied the expanded agreement to improving service, growing capacity, simplifying work for associates and lowering costs. The company also expects the expansion to support broader assortment, greater speed and more reliable replenishment. That distinction matters.

Warehouse automation increasingly needs to be evaluated not simply by asking, “How much faster can this facility pick?” but by asking, “What does this investment change across the supply chain?” Does additional storage capacity improve inventory positioning? Does automation enable later ordering cutoffs? Can replenishment become more predictable? Can the same technology architecture be repeated across multiple facilities without redesigning the operation every time? Those questions take warehouse automation discussions much closer to business strategy.

Scale Is Becoming Part of the Business Case

The Walmart-Symbotic relationship is particularly interesting because this is not a new pilot. Reuters reported that Symbotic has been helping automate Walmart’s supply chain since 2017, while the latest agreement extends automation to another 25 regional distribution centers. There is another layer to the expansion as well. Supply Chain Dive reported that Walmart committed an additional $125 million toward research and development of racking technology and related picking, process-flow and inventory-management capabilities. That is important because it suggests the competitive discussion is moving beyond individual pieces of robotic hardware. Warehouse automation is increasingly about how storage, picking, inventory, material movement and software operate together.

Symbotic’s current portfolio illustrates that evolution. The company says its integrated offering includes BreakPack for each-picking and SymMicro for e-commerce micro-fulfillment, supported by proprietary software that uses AI to orchestrate product movement. The question for warehouse operators, therefore, becomes less about which robot performs an individual task and more about how multiple automation layers combine into a repeatable operating system.

Walmart Is Not the Only Signal

Developments elsewhere reinforce the same trend. Amazon reported in 2026 that it has deployed more than one million robots across its operations network. Its systems now span inventory handling, mobile robotics, robotic arms and packaging automation. The company also says its Sequoia system can identify and store inventory up to 75 percent faster at fulfillment centers.

Meanwhile, DHL Supply Chain and Locus Robotics reached another useful measure of scale in 2026: one billion warehouse picks using Locus AMRs. Locus says thousands of its robots now operate across more than 40 DHL-managed sites worldwide. These examples are different applications with different economics. That is precisely the point. The warehouse automation market is moving beyond the question of whether robotics can work. Leading operators are increasingly confronting the harder questions of where automation should be deployed, how quickly it can scale, how well it integrates with existing operations, and whether benefits survive replication across a network.

The Metrics That Matter After Go-Live

The risk in covering a $6 billion automation agreement is treating announced spending as though it were demonstrated return. It is not. The more valuable story will develop as the systems go live. The measures worth watching include throughput, storage utilization, replenishment performance, labor productivity, system availability, fulfillment speed, implementation cost and the ability to maintain performance during demand peaks. That distinction should matter to technology buyers. A compelling demonstration can show what automation can do. A network-scale deployment begins to show whether the technology can generate similar value repeatedly under different facility and operating conditions. For Walmart, that makes the 25 distribution centers as important as the $6 billion headline.

Takeaway

The next chapter of warehouse automation will not be defined simply by more robots. It will be defined by whether operators can turn automation into a repeatable, measurable and scalable operating capability.

Walmart’s expanded relationship with Symbotic provides an unusually large test of that idea. The announced objectives are ambitious: more capacity, faster product movement, better replenishment, broader assortment, simpler work and lower costs. Now comes the more important part: measuring what changes when those systems are operating across the network. For other warehouse operators considering automation, that may ultimately be the most useful lesson from Walmart. Do not evaluate the robot alone. Evaluate what the automation changes in the economics and performance of the supply chain around it.

The post Walmart and Symbotic: When Warehouse Automation Becomes a Network Strategy appeared first on Logistics Viewpoints.

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Walmart and Symbotic: When Warehouse Automation Becomes a Network Strategy

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Walmart And Symbotic: When Warehouse Automation Becomes A Network Strategy

Warehouse automation has traditionally been discussed one facility at a time. A retailer installs an automated storage system, deploys mobile robots, adds robotic picking, or upgrades sortation. The business case is then measured against improvements within that particular building. Walmart and Symbotic are beginning to challenge that way of thinking.

On October 29, Walmart and Symbotic announced an expanded commercial agreement that will bring additional automation capabilities to 25 U.S. regional distribution centers. The agreement includes an initial commitment of approximately $6 billion, covering work over several years and multiple locations. Walmart says the initiative is intended to support upstream e-commerce inventory management, increase storage capacity, and improve the movement of products through its supply chain. Those numbers make the announcement noteworthy. But the more interesting story is what the scale of the commitment says about the next phase of warehouse automation.

From an Automation Project to an Operating Model

For years, warehouse automation investments were frequently justified around specific bottlenecks: reduced picker travel, increase storage density, improve sortation throughput, or offset labor requirements. Those are still important objectives. But Walmart is evaluating automation against something larger: the performance of an interconnected distribution network supporting stores, pickup and home delivery.

Rob Montgomery, executive vice president for Walmart U.S. Supply Chain Operations, tied the expanded agreement to improving service, growing capacity, simplifying work for associates and lowering costs. The company also expects the expansion to support broader assortment, greater speed and more reliable replenishment. That distinction matters.

Warehouse automation increasingly needs to be evaluated not simply by asking, “How much faster can this facility pick?” but by asking, “What does this investment change across the supply chain?” Does additional storage capacity improve inventory positioning? Does automation enable later ordering cutoffs? Can replenishment become more predictable? Can the same technology architecture be repeated across multiple facilities without redesigning the operation every time? Those questions take warehouse automation discussions much closer to business strategy.

Scale Is Becoming Part of the Business Case

The Walmart-Symbotic relationship is particularly interesting because this is not a new pilot. Reuters reported that Symbotic has been helping automate Walmart’s supply chain since 2017, while the latest agreement extends automation to another 25 regional distribution centers. There is another layer to the expansion as well. Supply Chain Dive reported that Walmart committed an additional $125 million toward research and development of racking technology and related picking, process-flow and inventory-management capabilities. That is important because it suggests the competitive discussion is moving beyond individual pieces of robotic hardware. Warehouse automation is increasingly about how storage, picking, inventory, material movement and software operate together.

Symbotic’s current portfolio illustrates that evolution. The company says its integrated offering includes BreakPack for each-picking and SymMicro for e-commerce micro-fulfillment, supported by proprietary software that uses AI to orchestrate product movement. The question for warehouse operators, therefore, becomes less about which robot performs an individual task and more about how multiple automation layers combine into a repeatable operating system.

Walmart Is Not the Only Signal

Developments elsewhere reinforce the same trend. Amazon reported in 2026 that it has deployed more than one million robots across its operations network. Its systems now span inventory handling, mobile robotics, robotic arms and packaging automation. The company also says its Sequoia system can identify and store inventory up to 75 percent faster at fulfillment centers.

Meanwhile, DHL Supply Chain and Locus Robotics reached another useful measure of scale in 2026: one billion warehouse picks using Locus AMRs. Locus says thousands of its robots now operate across more than 40 DHL-managed sites worldwide. These examples are different applications with different economics. That is precisely the point. The warehouse automation market is moving beyond the question of whether robotics can work. Leading operators are increasingly confronting the harder questions of where automation should be deployed, how quickly it can scale, how well it integrates with existing operations, and whether benefits survive replication across a network.

The Metrics That Matter After Go-Live

The risk in covering a $6 billion automation agreement is treating announced spending as though it were demonstrated return. It is not. The more valuable story will develop as the systems go live. The measures worth watching include throughput, storage utilization, replenishment performance, labor productivity, system availability, fulfillment speed, implementation cost and the ability to maintain performance during demand peaks. That distinction should matter to technology buyers. A compelling demonstration can show what automation can do. A network-scale deployment begins to show whether the technology can generate similar value repeatedly under different facility and operating conditions. For Walmart, that makes the 25 distribution centers as important as the $6 billion headline.

Takeaway

The next chapter of warehouse automation will not be defined simply by more robots. It will be defined by whether operators can turn automation into a repeatable, measurable and scalable operating capability.

Walmart’s expanded relationship with Symbotic provides an unusually large test of that idea. The announced objectives are ambitious: more capacity, faster product movement, better replenishment, broader assortment, simpler work and lower costs. Now comes the more important part: measuring what changes when those systems are operating across the network. For other warehouse operators considering automation, that may ultimately be the most useful lesson from Walmart. Do not evaluate the robot alone. Evaluate what the automation changes in the economics and performance of the supply chain around it.

The post Walmart and Symbotic: When Warehouse Automation Becomes a Network Strategy appeared first on Logistics Viewpoints.

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