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A Volatile Year Ahead: Scenarios for Ocean Freight in 2025

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A Volatile Year Ahead: Scenarios for Ocean Freight in 2025

Judah Levine

December 17, 2024

Freightos was delighted to host its seventh annual FreighTech conference recently, bringing together leaders in What does 2025 hold in store for ocean freight? The answer to that question starts with a look back at the factors that impacted the market this year, combined with the underlying freight data from the past few years.

And depending on how those play out in 2025 we can sketch worst case and best case scenarios for the coming year, as well as what may be the most likely path the market takes in 2025.

You can check out our 2025 air cargo outlook here, or catch our recent 2025 Ocean and Air Outlook webinar here.

2024 – A(nother) volatile year for supply chains

The Red Sea crisis started at the end of 2023 and continued throughout 2024 impacting operations, freight rates and seasonal demand. Diversions around the Cape of Good Hope meant additional lead times of one to two weeks for Asia – Europe and Mediterranean shippers, and the capacity absorbed by longer journeys and additional vessels – as well as bouts of significant schedule disruptions and congestion at some Asian and European hubs – on these lanes pushed rates up across the container market.

Ex-Asia container rates tripled from December to January/February – up to nearly $5,000/FEU to the US West Coast and $5,500/FEU to Europe – as the start of the crisis coincided with the seasonal demand increase ahead of Lunar New Year. When demand eased in the spring these rates settled around $3,000/FEU, about double typical levels, as diversions continued to keep capacity constrained.

The Peak Season Impact

And with lead times likewise extended, peak season started and ended earlier than usual, pushing rates past the $8,000/FEU mark in July. For transpacific shippers, peak season was also pulled forward by shippers rushing to receive goods before an expected October ILA port worker strike, which ended after three days with both a new wage agreement and a January 15th deadline to resolve the role of port automation or face another strike.

National Retail Federation Q4 volume estimates in December were adjusted well above projections from two months prior as frontloading began ahead of the possibility of a new strike and tariff increases
Data source: National Retail Federation, Global Port Tracker

Tariff Expectations

The new strike deadline and a Trump victory in November meant stronger than expected Q4 US ocean imports – and container rates – as shippers once again frontloaded ahead of a possible strike and now also ahead of expected tariff increases during the second Trump Administration.

And for Asia – Europe shippers, rates started climbing again in November – much earlier than usual for pre-LNY demand – as importers must ensure they move all the inventory they need out of China before the holiday or risk a much longer than usual wait to receive goods after LNY due to continued Red Sea diversions.

The Bottom Line

All of these factors – Red Sea diversions, potential labor disruptions, and tariff threats – remain in play for 2025, with the potential for overcapacity in the market once Red Sea traffic resumes another wrinkle in the story.

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So what will 2025 look like? Three Potential Outcomes

Worst Case

Including: Continued Red Sea attacks, labor strikes, and increased tariffs.

If attacks on Red Sea traffic persist throughout the year, we should expect shippers – especially Asia – Europe – to continue to move freight earlier than usual impacting the timing of seasonal demand. And though lessons learned this year could mean lower levels of congestion and schedule disruptions, we should still expect freight rates to look very similar to those of 2024 as long as diversions continue.

For transpacific shippers, a prolonged East Coast and Gulf port labor strike in January would cause additional congestion and backlogs, and possibly diversions to the West Coast that would put additional pressure on freight rates from their already elevated starting point.

Transpacific ocean rates have been elevated throughout the year due to Red Sea diversions, but frontloading ahead of expected tariffs is already putting additional pressure on rates as 2025 approaches.

If President Trump persists in tariff threats, and if he follows through on his stated intentions – 60% tariffs on Chinese imports, a universal 10% – 20% on all imports and 25% on goods from Canada and Mexico – then freight rates will face additional pressure up until expectations change or tariffs go into effect.

Frontloading ahead of tariffs will mean higher ocean demand and rates ahead of the tariffs and lower volumes and rates afterwards. Typical seasonality could therefore be skewed as shippers make decisions based on when tariffs will go into effect and not on inventory needs around seasonal goods/spending patterns.

And a sharp increase in demand – if there proves to be only a small window before tariffs go into effect – could also lead to some congestion that would likewise put upward pressure on rates. Tariff increases could also mean some shift in container volumes away from China and toward alternatives like Vietnam and India.

Best Case

Variables: End to Red Sea crisis, labor strikes averted and tariffs emerge as primarily a negotiating tactic

If the ILA strike is averted or brief – which may be increasingly likely given President-elect Trump’s recent support for the union – transpacific and transatlantic shippers will avoid a potential source of significant disruption and possible rate spikes.

And if Trump’s tariff threats turn out to be more negotiating tools than policy early enough in the year, then the end to frontloading ahead of tariff hikes would restore typical seasonality to these markets, avoid additional container rate spikes, and provide a degree of certainty to the many trade lanes and businesses that would’ve been impacted by tariff changes.

Finally, an end to attacks in the Red Sea in 2025 would restore container traffic to this crucial lane. An adjustment period, possibly of several months, will follow and will include schedule disruptions, congestion and delays as services are reshuffled and reset. But afterwards, all the capacity that had been absorbed by the diversions will be released back into the market, restoring typical transit times and container flows, removing a key source of congestion and delays in 2024 and relieving pressure on freight rates.

An end to Red Sea diversions would certainly – after the adjustment period – let rates come down from the elevated levels seen in 2024, but the growing container fleet could also push the market into a state of significant over capacity. This may be considered a best case for some shippers in that this supply surge could lead to extremely low rates like those seen in late 2023 when prices dipped below $1k/FEU on some ex-Asia lanes.

Most likely: Somewhere in Between

Labor Strikes

Though of course not a certainty, incoming President Trump’s explicit support for the ILA, may make a strike – or at least a prolonged one – less likely than before this announcement. The USMX could of course resist, but after conceding in October to probably less government pressure than they could face in January, it may be more likely that the dispute will end before or soon after the 15th and probably more in the ILA’s favor.

Tariffs

Some US tariff increases will almost certainly go into effect at some point in 2025, though the process required for tariff changes will mean they likely won’t happen on January 20th but a month or two later at the earliest. They’ll probably also not take the exact form proposed by Trump until now as he’s already facing domestic and international opposition to these sweeping changes.

But assuming tariff increases will be announced with a runway of several months before they’re introduced – which was the case in 2018 (see our analysis of the impact of those tariff increases here and here) – we’ll likely see container demand skew to before their roll out with rates under more upward pressure in that period too.

Red Sea and capacity levels

In terms of the Red Sea, the Israel – Hamas war is the Houthi’s stated motivation for attacking passing vessels. And though some observers speculate that even once there is a Gaza ceasefire Houthi attacks could continue anyway, it is possible that diversions will end once the war ends. And developments in the region make an end to the war this year more likely than it was in 2024.

As noted above, restored Red Sea traffic will trigger a bumpy adjustment period, after which rates will decrease significantly from their elevated levels in 2024. And though significant overcapacity is possible, in a recent earnings call Maersk speculated that a sharp increase in vessel scrapping, offloading chartered vessels, slow steaming and effective use of blanked sailings will allow carriers to avoid a complete rate collapse even after the Red Sea crisis ends.

And despite the flurry of new vessel deliveries and fears of overcapacity, the orderbook continues to be strong, with a high level of new orders throughout this year, suggesting carriers are confident that the fleet can continue to grow without causing a rate collapse.

So rates will certainly normalize once Red Sea traffic resumes. If that coincides with a drop in demand because tariffs led to a significant pull forward earlier in the year, then it will be even more challenging for carriers to avoid loss-making rate levels. Some increased competition as the new alliances are introduced early in the year could also put extra downward pressure on rates. But it will remain to be seen when the Red Sea will reopen, and what that will mean for capacity levels and rates as a result.

So, yet again, it seems the ocean container market must start the new year with high levels of uncertainty as to what the near future holds.

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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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Walmart AI Pricing Patents Signal Shift Toward Real-Time Retail Execution

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Walmart Ai Pricing Patents Signal Shift Toward Real Time Retail Execution

Walmart’s new patents and digital shelf rollout point to a more tightly integrated model linking demand forecasting, pricing, and store-level execution.

Walmart has secured two patents related to automated pricing and demand forecasting, drawing attention to how large retailers are evolving their pricing and execution capabilities.

One patent, System and Method for Dynamically Updating Prices on an E-Commerce Platform, covers a system that can dynamically update online prices based on changing market conditions. A second, Walmart Pricing and Demand Forecasting Patent Classification, relates to demand forecasting technology designed to estimate what customers will buy and recommend pricing accordingly. At the same time, Walmart is expanding digital shelf labels across its U.S. stores, replacing paper labels with centrally managed electronic displays.

Individually, none of these elements are new. Retailers have long used forecasting models, pricing tools, and store execution processes. What is notable is the combination.

Walmart now has three capabilities aligned:

Demand forecasting tied to predictive models

Price recommendation based on that demand

Store-level infrastructure capable of rapid execution

That combination reduces the operational friction historically associated with pricing in physical retail.

Pricing Moves Closer to Execution

Traditional store pricing changes required coordination across multiple steps: analysis, approval, printing, distribution, and manual shelf updates. That process introduced delay and inconsistency.

Digital shelf labels materially change that constraint. Prices can be updated centrally and executed across stores with significantly less manual intervention.

This does not change the underlying logic of pricing decisions. Retailers have always adjusted prices based on demand, competition, and margin targets. What changes is the speed and consistency of execution.

As a result, pricing moves closer to real-time operational control.

Implications for Supply Chain Operations

Pricing is not an isolated commercial function. It directly influences demand patterns, inventory flow, replenishment timing, and markdown activity.

When pricing becomes faster and more responsive, those linkages tighten.

Three implications are clear:

1. Increased Execution Speed
Retailers can align pricing decisions more quickly with current demand conditions, reducing lag between signal and action.

2. Stronger Dependence on Forecast Accuracy
When pricing recommendations are driven by predictive models, the quality of demand sensing becomes more consequential. Forecast errors can propagate more quickly into sales and inventory outcomes.

3. Closer Coupling of Merchandising and Supply Chain
Pricing decisions influence demand. Demand impacts inventory, replenishment, and store execution. Faster pricing cycles compress the distance between these functions.

Centralization and Control

Walmart has positioned its digital shelf label rollout as an efficiency and accuracy initiative. Centralized price management improves consistency between systems and store execution while reducing labor tied to manual updates.

That positioning aligns with the operational realities of large-scale retail. At Walmart’s footprint, even small improvements in execution efficiency translate into material cost and accuracy gains.

At the same time, the shift toward algorithm-supported pricing introduces standard enterprise control requirements. Organizations need clear governance around how pricing recommendations are generated, reviewed, and executed, particularly as systems become more automated.

A Broader Technology Pattern

Walmart’s patents are best understood as part of a broader shift in supply chain and retail technology.

AI and advanced analytics are moving closer to operational decision points. Forecasting models are no longer confined to planning environments; they are increasingly connected to systems that can act.

In this case, that connection spans:

Demand sensing

Price recommendation

Store-level execution

The result is a more tightly integrated operating model in which commercial decisions and supply chain execution are linked through software.

What This Signals

The significance of Walmart’s move is not tied to public debate over surge pricing scenarios. The underlying development is structural.

Retailers now have the ability to connect demand forecasting, pricing logic, and execution infrastructure into a faster decision loop.

For supply chain leaders, that represents a clear direction:

Execution is becoming more digital, more centralized, and more tightly coupled to predictive models.

The companies that benefit will be those that can align forecasting, pricing, and operational execution within a controlled, coordinated system.

The post Walmart AI Pricing Patents Signal Shift Toward Real-Time Retail Execution appeared first on Logistics Viewpoints.

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Supply Chain and Logistics News March 16th-19th 2026

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Supply Chain And Logistics News March 16th 19th 2026

This week’s installment of Supply Chain and Logistics news includes stories about record increases in oil prices, Rivian’s autonomous taxis, and much more. Firstly, the Trump administration has issued a 60-day waiver of the Jones Act, a century-old regulation that requires goods moved between US ports to be transported by US-built vessels, etc. Additionally, this week Uber & Rivian announced a partnership for Rivian to build 50,000 autonomous robotaxis by 2031 with over a billion dollars in investment from Uber. Schneider Electric and EcoVadis announced a partnership to target emissions in the health care sector. Lastly, DHL announces 10 warehousing sites to be used for data center manufacturing capacity, and Mind Robotics raises 100 million in series A funding.

Your Biggest Stories in Supply Chain and Logistics here:

Trump Administration Issues Pause on Century-old Maritime Law to Ease Oil Prices

The Trump administration has issued a 60-day waiver of the Jones Act. This century-old regulation typically requires goods moved between US ports to be carried on vessels that are US-built, US-owned, and US-crewed. However, with oil prices surging toward $100 a barrel due to escalating conflict in the Middle East, the suspension aims to ease logistics for vital commodities like oil, natural gas, and fertilizer. While the move is intended to lower costs at the pump and support farmers during the spring planting season, it has sparked a debate between those seeking immediate economic relief and domestic maritime unions concerned about the long-term impact on American shipping and labor.

Uber and Rivian Partner to Deploy up to 50,000 Fully Autonomous Robotaxis

Uber and Rivian have announced a massive strategic partnership that signals a major shift in the future of autonomous logistics and urban mobility. Under the terms of the deal, Uber is set to invest up to $1.25 billion in Rivian through 2031, a move specifically tied to the achievement of key autonomous performance milestones. The primary focus of this collaboration is the deployment of a specialized fleet of fully autonomous R2 robotaxis, with an initial order of 10,000 vehicles and an option to scale up to 50,000 units. From a supply chain perspective, this represents a significant commitment to vertical integration; Rivian is managing the end-to-end production of the vehicle, the compute stack, and the sensor suite, including its in-house RAP1 AI chips, while Uber provides the scaled platform for deployment. Commercial operations are slated to begin in San Francisco and Miami in 2028, eventually expanding to 25 cities globally by 2031.

Schneider Electric and EcoVadis Announce Partnership to Decarbonize Global Healthcare Supply Chains

Schneider Electric, a major player in the digital transformation of energy management and automation, and EcoVadis, a provider of business sustainability ratings, have announced a strategic partnership aimed at accelerating decarbonization within the healthcare industry. “Energize” is a collective initiative to engage pharmaceutical industry suppliers in climate action. The collaboration focuses on addressing Scope 3 emissions, those generated within a company’s value chain, which often represent the largest portion of a healthcare organization’s carbon footprint. By combining Schneider Electric’s expertise in energy procurement and sustainability consulting with EcoVadis’s supplier monitoring and rating platform, the partnership provides a structured pathway for pharmaceutical and medical device companies to transition their global suppliers toward renewable energy.

Mind Robotics, a Rivian spin-off, raises $500 million in Series A Funding

RJ Scaringe, CEO of Rivian, is positioning his new $2 billion spin-off, Mind Robotics, as a technological solution to the chronic shortage of manufacturing labor in the Western world. By developing a “foundation model” that acts as an industrial brain alongside specialized mechatronic bodies, the company aims to move beyond the rigid, fixed-motion plans of traditional robotics toward systems capable of human-like reasoning and adaptation. Scaringe emphasizes that while these machines must perform with human-level dexterity, they don’t necessarily need to be humanoid in form; instead, the focus is on creating a data-driven “flywheel” within Rivian’s own facilities to lower production costs and help domestic manufacturing remain globally competitive.

DHL Expands North American Logistics Infrastructure Amid Growing Global Demand for Data Center Logistics Services

DHL is significantly scaling its data center logistics (DCL) footprint in North America, announcing the addition of 10 dedicated sites totaling over seven million square feet of warehousing capacity. This expansion is a direct response to the explosive demand for AI-driven infrastructure and the specific needs of hyperscale and colocation data center operators. By offering specialized services like rack pre-configuration, white-glove handling of sensitive IT hardware, and warehouse-to-site transportation, DHL is positioning itself as an end-to-end partner in a sector where 85% of operators express a preference for a single logistics provider. This move not only addresses the logistical complexities of moving high-value components like GPUs and cooling systems across global borders but also underscores the critical role of integrated supply chains in maintaining the build speed of the digital backbone.

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How to Capitalize Quickly to Address Hyperconnected Industrial Demand

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How To Capitalize Quickly To Address Hyperconnected Industrial Demand

This first in a blog series offers a review of discussion that occurred during ARC Advisory Group’s 2026 Industry Leadership Forum. Specifically, it details a keynote conversation held with senior executives from Rolls-Royce, BTX Precision, and MxD.

The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production

Industrial leaders have been talking about tearing down workflow and data silos for decades. Yet here we are again. For most, the reality is that most operations and supply chains today typically don’t indicate much progress. A few leaders have figured out how to use digital tools to scale and build pathways forward, a whopping 12.9% according to our latest data (yes, that’s sarcasm). However, even as they struggle to coordinate, orchestrate, and innovate across their operations and enterprise, much less tightly collaborate outside their four walls. In a digital world, this continued capability gap, the inability to closely link market signals to responsive production and external supply chains, is very quickly becoming a liability.

Recently, at the 30th Annual ARC Industry Leadership Forum in Orlando, I had the privilege of leading a keynote discussion entitled The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production. As part of that, I moderated an excellent conversation that included Global Commodity Executive Greg Davidson of Rolls-Royce, CEO Berardino Baratta of MxD, and CRO Jamie Goettler of BTX Precision.

In this four-part series, we will explore that conversation fully, digging into how the “fabric of market demand” has fundamentally changed, and why structural modernization, both human and technological, is no longer just an option. It is an industrial imperative that will increasingly determine who wins in disrupted markets.

Why Legacy Workflow Will Actually Get Modernized

If we examine the present through the lens of the past, the fundamental laws of supply and demand haven’t really changed. What has changed is the hyperconnectivity of the world and our compressed time to both reward and volatility.

The hard truth is that legacy linear workflows simply do not work in hyperconnected, digitally-driven environments, which are non-linear by nature. As our industrial environments become more digital, they naturally open up countless new ways for how things can get done and how risk can enter the organization. As a result, disruption has shifted from a rare event to a fairly continuous and pervasive reality. In this new reality, responsiveness differentiates you from the competition, and lag time kills.

To survive and thrive in non-linear environments, tighter, integrated ecosystems are required, where silos are actively torn down or redesigned so that barriers to value can be continuously identified and quickly eliminated. At the core, this concept is unfolding around data access, contextualization, and sharing. It provides the urgency behind the need for building industrial data fabrics.

This rewiring certainly extends beyond operations and enterprise processes, enabling the entirety of the supply chain to be judged on its collective responsiveness to the market, all the way down to the individual company level. In this scenario, data can quickly point out laggards who limit value. As the orchestrators of these supply chains identify these limitations on value, they quickly break off and discard the connection and move on without these weak links.

Pillars of the New Fabric of Demand

To achieve necessary level of operational and supply chain responsiveness, the roles of every entity within an ecosystem must be rethought. In the subsequent three blogs of this series, we will take a deep dive into the three distinct pillars that make up this modern architecture, but I’ll begin by laying them out here:

The Market Signal is the catalyst of the entire ecosystem. It dictates the “what” and the “when,” defining what value, success and risk look like in real-time. In blog 2, I’ll explore how to move from reactive assumptions to proactively capturing the market signals that actually matter.
The Demand Architect is moving beyond traditional order-taking. The Demand Architect designs and orchestrates the ecosystem, aligning external partners as true extensions of the enterprise. In blog 3, I’ll discuss the structural agility required to lead this response, rather than just manage a process.
The Agile Partner is the engine of execution. The Agile Partner links supply chain dynamics directly to the shop floor, differentiating themselves through their responsiveness to the market signal. In the final blog in the series, I’ll tackle how data transparency and trust become technical requirements, not just buzzwords, without exposing mission-critical IP.

Building the Modern Industrial Enterprise

Legacy workflows cannot survive in a non-linear world. Industrial organizations must re-architect operations and ecosystems for real-time responsiveness and secure, transparent collaboration. To do so, they will need to:

Improve the measurement of responsiveness: Efficiency and margin-squeezing are important, but they aren’t game-changers. Your competitive edge now relies on how quickly you can adapt to market signals.
Embrace transparency over secrecy: Modern collaboration requires providing a contextualized “lens” into production status without compromising proprietary IP or cybersecurity. Industrial data fabrics are key.
As always, view technology as a tool, not an outcome: Industrial data fabrics are needed to break silos and AI to manage complexity and improve accuracy and speed of decisions. However, the age-old adage remains true. Just because you can apply AI to something doesn’t mean you should. It must be grounded in measurable Value on Investment (VOI), not just return.

The New Fabric of Demand Blog Series

This is the first in a series of four on The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production. Over the coming days, I’ll publish a perspective from each of the three pillars of the new fabric of demand:

Pillar 1: The Market Signal
Pillar 2: The Demand Architect
Pillar 3: The Agile Partner

By Mike Guilfoyle, Vice President.

For more than two decades, Michael has assisted organizations, including numerous Fortune 500 companies, in identifying and capitalizing on growth opportunities and market disruption presented by the effects of digital economies, energy transition, and industrial sustainability on the energy, manufacturing, and technology industries.

The post How to Capitalize Quickly to Address Hyperconnected Industrial Demand appeared first on Logistics Viewpoints.

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