The good news: the right contract language can shift or share tariff exposure before it becomes a dispute.

What You Need in Every Contract

Price escalation clauses automatically adjust pricing when tariff thresholds are breached, removing the need for costly renegotiations mid-term.

Tariff pass-through provisions define exactly which party absorbs duty increases — and by how much — so there are no surprises.

Force majeure and indemnity protections cover sudden regulatory shifts and allocate liability clearly when tariff actions are outside either party’s control.

Negotiate Smarter, Not Harder

Framing tariff risk as a shared problem — rather than a cost to win or lose — makes agreement faster and preserves supplier relationships. Use scenario modelling to make the risk tangible, and build in formal review periods tied to tariff triggers rather than waiting for a dispute.

The Bottom Line

Tariff uncertainty is the new normal. Procurement and contract teams that build escalation mechanisms, pass-through terms, and clear indemnities into their agreements will stop absorbing margin hits — and start winning deals with confidence.

What Is Driving Change
Rising consumer expectations, stricter regulatory requirements and the increasing complexity of global supply chains are all accelerating innovation in cold chain logistics. Businesses need smarter, faster and more sustainable solutions to stay competitive.

Key Trends Reshaping Cold Chain Logistics

• IoT and Real-Time Monitoring — Connected sensors and smart tracking devices provide continuous visibility into temperature, humidity and location data — reducing spoilage, ensuring compliance and enabling faster responses to disruptions
• Sustainable and Eco-Friendly Packaging — Businesses are replacing traditional insulation materials with biodegradable and reusable cold chain packaging solutions — reducing environmental impact without compromising product integrity
• Automation and Robotics — Automated cold storage facilities and robotic picking systems are improving speed and accuracy while reducing human exposure to extreme temperature environments
• AI-Powered Demand Forecasting — Predictive analytics tools are helping logistics teams anticipate demand fluctuations and optimise inventory levels — reducing waste and improving delivery reliability
• Blockchain for Traceability — Distributed ledger technology is improving end-to-end supply chain transparency — particularly critical in pharma and food sectors where product authenticity and safety are non-negotiable

The Bottom Line
Businesses that invest in these cold chain innovations today are building supply chains that are more resilient, more compliant and more cost-efficient — giving them a measurable competitive advantage in markets where product integrity is everything.

The program will consist of a high-visibility dashboard that links ocean carriers, trucking companies, and railroads as well as retailers, including Walmart, to key hubs like the Port of Los Angeles, the release said.

According to Transportation Secretary Sean Duffy, fewer delays mean lower costs throughout the supply chain, and that this initiative is designed to avoid roadblocks, move freight more quickly, and provide goods at a lower price for the American people.

The American Supply Chain Sovereignty Initiative is modeled after the Freight Logistics Optimization Works program of the department, which was launched in 2022. That data-sharing platform was initially created to facilitate shipment movement after extended Covid-19-related restrictions.

The FLOW platform captures several types of data, and in 2024, the DOT began publishing data on inland freight hubs, such as rail terminal and warehouse end destinations, so as to help shippers with capacity planning and prevent delays in the supply chain. Other published data comprise purchase data as well as cargo movements from specific ports of origin.

As of April 2026, FLOW had 86 members, which included CMA CGM, PetSmart, and The Home Depot as well as GE Appliances.

The new project also builds on the National Freight Strategic Plan that was revised in 2026, according to the press release. The plan, launched in 2020, is meant to steer national policy and investment on supply chains. Duffy is now working to have the legislation needed for the American Supply Chain Sovereignty Initiative included in the 2026 National Defense Authorization Act.

The release confirmed that the Congress is providing the department the framework as well as adaptability to securely simplify national logistics by providing the U.S. Department of Transportation the ability to build role-based access to certain data points.

What Is Driving the Shift
Traditional warehouses relied heavily on manual processes and reactive decision-making. Today, technologies like autonomous mobile robots (AMRs), advanced analytics platforms and IoT-connected systems are enabling warehouses to operate with a level of speed, precision and scalability that was previously impossible.

Key Technologies Transforming Warehouse Efficiency

• Autonomous Mobile Robots (AMRs) — Handling repetitive picking, packing and transport tasks with greater speed and fewer errors than manual operations
• Artificial Intelligence — Enabling predictive demand forecasting, inventory optimisation and real-time route planning across warehouse floors
• IoT Connectivity — Providing continuous, real-time visibility into equipment performance, inventory location and environmental conditions
• Advanced Analytics — Converting vast operational datasets into actionable insights that improve planning, reduce waste and lower costs

The Human Factor Remains Critical
Technology alone does not build a smarter supply chain. Warehouse managers, supervisors, data analysts, planners and maintenance teams play an essential role in optimising automated systems, interpreting operational data and making the strategic decisions that keep the entire operation running effectively.

The Bottom Line
Organisations that combine cutting-edge warehouse technology with a skilled and adaptable workforce are building supply chains that are not just efficient — they are resilient, agile and scalable for whatever comes next.

What It Means
Digital warehousing integrates Warehouse Management Systems (WMS), artificial intelligence, robotics, IoT sensors and predictive analytics into a single connected operation — replacing static processes with dynamic, data-driven ones.

Key Transformations Happening Now

• AI and Automation — Automated guided vehicles, computer vision and AI-powered demand forecasting are reducing errors, cutting costs and increasing throughput significantly
• Real-Time Visibility — IoT sensors and RFID tracking provide instant, accurate data on every product across the warehouse at any moment — improving fulfilment accuracy and reducing stock discrepancies
• Predictive Analytics — Businesses are moving from reactive to proactive supply chain management — forecasting inventory requirements and identifying equipment failures before they cause disruption
• Competitive Advantage — The gap between digitally transformed warehouses and traditional ones is widening fast — with leaders reporting faster order fulfilment, lower costs and stronger supply chain resilience

The Bottom Line
According to McKinsey, companies that fully digitise their supply chain operations can boost annual earnings growth by 3.2% and revenue growth by 2.3%. Businesses that invest in digital warehousing today are building the operational resilience and competitive advantage that will define market leadership in the years ahead.

As supply chains grow in complexity and disruption speeds up, organizations require systems that can react as quickly as circumstances shift. Infios AI enables this with the combination of enterprise knowledge, data in real-time, and intelligent automation so as to turn routine operational signals into coordinated action to sense and act as well as decide in an instant.

According to Richard Stewart, EVP, Product and Industry Strategy at Infios, “With Infios AI, we are embedding intelligence directly into execution workflows, so when conditions change, operations can analyze, recommend, and, increasingly, take action in real time. This is how we help organizations move from reacting to problems to continuously optimizing execution.”

Purpose-built AI use cases bring immediate value

Infios is rolling out a targeted set enhanced AI functionality in warehouse management offering that alleviate the manual coordination as well as operational friction of day-to-day warehouse work, allowing teams to work faster and more reliably:

Intelligent Fault Resolution

Infios AI makes use of live WMS data in order to help warehouse operators quickly detect and fix issues like stalled orders or lost inventory. This provides users with root-cause insight and suggested steps so as to keep warehouse operations running smoothly, decreasing manual intervention and speeding up resolution within current workflows.

• Freeing up experienced staff to perform value-added work
• Saves time spent on investigating errors
• Removes manual, multi-step troubleshooting
• Increases order efficiency and accuracy of inventory

AI Driven Knowledge Assistant

Infios AI integrates product and process knowledge right into the chat interface, so operators can get immediate responses in natural language instead of waiting for supervisor support. It combines product documentation and company-specific operating processes to produce targeted, actionable responses for all operators.

• Reduces manual document research
• Consistent implementation and conformity to operating policies
• Speeds up onboarding and training

Warehouse Associate Development

Infios AI evaluates labor performance data and provides real-time, tailored coaching guidance. It identifies root causes and suggests actionable improvements so supervisors can offer timely feedback without having to do manual research.

• Minimizes manager preparation time
• Offers individualized coaching for every associate
• Consistent guidance enhances workforce productivity

The next generation of warehouse operations is being developed

These innovations bring the vision of Infios of intelligent supply chain execution into the warehouse, changing operations from manual and reactive processes to systems that analyze, recommend, and increasingly take action.

Infios embeds AI directly into the daily workflows so warehouse leaders can transition from data collection, problem investigation, and routine manual intervention to proactive choice-making and effective operations that accelerate productivity at scale. These innovations are a subsequent step in ensuring execution without interruption, pushing real-time, coordinated decision-making more deeply into everyday operations.

It is worth noting that PepsiCo has partnered with Gatik since 2022 and now runs a fleet of 41 autonomous trucks throughout Texas, Arizona as well as Arkansas, confirmed Gatik to Supply Chain Dive in an email.

As per PepsiCo in an email, autonomous trucking, especially on short and repeatable routes, has the ability to help them drive more reliable operations and minimise variability, thereby enabling them to provide a more consistent service experience.

PepsiCo said the deployment of Gatik autonomous trucks happens to be a part of a conscious push to modernize how its products move through its transportation network.

The deal of PepsiCo with Gatik is focused on boosting capacity where it is needed, which will include high-demand regional networks which are indeed hard to staff and essential for keeping shelves full for consumers, the release said.

Gatik said that it is a nuanced, meticulously orchestrated procedure to integrate driverless trucks into a supply chain as intricate as PepsiCo’s, as you can envision.

Gatik further added that safety is our North Star and that they have devoted the time to go through comprehensive safety evaluations and incorporate into supply chain of PepsiCo in a dependable and secure manner.

Interestingly, Gatik’s driverless trucks can very well operate on highways and surface streets when it comes to end-to-end deliveries. They also can alter routes when necessary for complicated regional logistics networks as well as reach numerous pickup and dropoff locations, said the release.The release says that this allows PepsiCo to adjust route plans to daily operational requirements, such as adding or eliminating stops, reacting to demand shifts, and adjusting to levels of activity throughout its distribution centers, said the release.

This adaptability allows PepsiCo to enhance on-time performance and at the same time add capacity without altering its current operations.

PepsiCo has been evaluating new fleet technologies to enhance its transport operations. The organization has also been electrifying its fleet, in addition to autonomous trucks. launch in 2027. PepsiCo has also partnered with shippers such as Ikea and

The company last year said its EV semitrucks will save $1 million in fuel.

Established by Brian Chee, Ventura County business magnate and also the sole proprietor of BJC Logistics, the organization due to its high-security supply chain network has carved out a distinctive position when it comes to commercial logistics, concentrating on the rigorous compliance with regulations and elevated confidentiality requirements of the U.S. Department of Defence – DoD.

Connecting Legacy Defence and New Technology

Apparently, the 2026 contracts place BJC Logistics between established defence primes as well as fast-moving technology startups. The company provides safe transportation for highly sensitive assets, including aerospace components, autonomous flight systems, and advanced AI computing hardware.

BJC Logistics has gone ahead and rebuilt its infrastructure around strict defence compliance standards with a dedication to innovation and the highest level of secure shipping. That focus has made the company an important link in the new Arsenal of Freedom, with supply chain systems designed for secrecy as well as accuracy.

Geographic and financial expansion

To accommodate this growth in defence-related operations, BJC Logistics has grown its presence well beyond its Ventura County base. The company is strategically located all over the globe and has developed a distribution system near key defence and aerospace facilities, thereby lowering delivery times.

The company is also considering a move into secure data infrastructure, reviewing possibilities in data centre logistics and in the analytics systems that enable compliant and end-to-end visibility into the supply chain.

That growth is paired with strong financial momentum. With a recent round of significant funding and the 2026 contract winnings, the private company has grown to roughly $600 million in yearly revenue, and its market value is now pegged at $320 million.

What Lies Ahead

Interestingly, BJC Logistics, which has grown rapidly and seen its valuation increase, plans to stay privately held for a while to come. Keeping it privately held means that it can remain fluid and non-traditional, which were the keys to its initial success, despite the pressures of public market quarterly demands.

As the defence sector increasingly depends on self-driving systems, AI integration, and safe global supply chains, BJC Logistics has become an incredibly valuable partner for future generations of American aerospace as well as defence.

In terms of rare earth production, China is not just the largest holder of rare earth reserves in the world but also the dominant production leader. In 2025, China produced round about 270,000 metric tonnes of rare earths, or 69.2% of the total production of 390,000 metric tonnes in the world. Meanwhile, China has about 90% of the world’s rare earth refining and processing capability. Its dual dominance when it comes to mining and smelting gives it a distinctive strategic deterrent power as far as US, Europe rare earths supply chain is concerned.

On the policy front, China continues to tighten export controls while staying ahead on the resource aspect. Apparently, China expanded its control list to include limitations on five rare earth elements, which were holmium, erbium, thulium, and europium as well as ytterbium, in October 2025. The U.S.-China trade ceasefire is set for termination in November 2026. If the truce is not prolonged, China’s list of controlled exports could grow to 12 items.

The Chasers – Disparity between Production Capacity and Reserves

It is well to be noted that Brazil has the second-largest reserves in the world, at 21 million metric tonnes, but produced roughly 2,000 metric tonnes in 2025 and has huge undeveloped resources. Change is on the way, as in April, USA Rare Earth announced the acquisition of Serra Verde of Brazil for $2.8 billion, which will give it the Pela Ema rare earth mine and sole off-take rights for 15 years. Once Phase 1 is fully operational in 2027, the project is projected to produce 6,400 metric tonnes of rare earth oxides annually.

Australia’s reserves are around 5.7 million metric tonnes, which is the USGS figure, but its production has already hit 29,000 metric tonnes, with more efficient conversion capacity compared to Brazil.

Lynas, the world’s biggest producer of rare earths outside of China, reported a 32% year-over-year increase in NdPr output in the third quarter of fiscal 2026 and in March achieved its first commercial production when it comes to samarium oxide. Australia is shoring up its strategic standing as a major rare earth supplier to Western partners, and its resources minister has declared that a strategic reserve policy will be pursued, which certainly includes price support modalities.

The U.S. has roughly 1.9 million metric tonnes in reserves, but it is the second-largest producer in the world, producing 51,000 metric tonnes in 2025, up 12% from the year before. MP Materials, the leading domestic player, said it produced an unprecedented 917 metric tonnes of NdPr in the Q1 of 2026, up 63% from a year earlier. The company has built a heavy rare earth separation plant and expects it to be operational and start producing dysprosium, terbium and other critical heavy rare earths by the middle of 2026. The Pentagon has also invested $400 million in MP, while USA Rare Earth got a letter of interest for $1.6 billion in monetary support from the Department of Commerce. But US rare earth imports soared 169% in 2025, and net import dependence increased to 67% from 53%, suggesting it will require time to develop a domestic supply chain from mine to magnet.

Russia, at 3.8 million metric tonnes of reserves; Vietnam, at 3.5 million metric tonnes; and Greenland, at 1.5 million metric tonnes, are also noteworthy. In 2026, Russia enacted a new law imposing stricter criteria for foreign investment into its rare earth sector as part of an effort to capitalise on its resources as geopolitical tools. At the same time, Vietnam amended its Geology and Mineral Law, significantly broadening state control over rare earths and prohibiting the export of raw rare earth ore. The Kvanefjeld project from Greenland has hit a snag due to disagreements over its uranium content, and the exploration licence renewal was denied in April 2026, putting a strategic project with more than 11 million metric tonnes of reserves on standby.

Structural Contradictions and Implications for Strategy

The world’s rare earth supply faces a dual imbalance. First, there is a gap between reserves and production – countries such as Brazil and Vietnam have huge resources but restricted capacity, while the US and Australia have much higher capacity utilisation rates. Second, there is an inconsistency between resources and processing capacity. Although the raw material sources are growing more diversified, rare earth refining and processing are still extremely concentrated in China. Europe depends on China for 98-99% of its rare earths, a structural dependence that is not likely to change significantly in the short term.

Interestingly, the geopolitical variables contribute to an already turbulent landscape. The US buying spree in Brazil, capacity growth by Lynas and MP, Russia closing off foreign access and the political impasse over the Greenland project are all pointing to one trend, and that’s rare earths are changing from a commodity into a critical negotiation chip in great power rivalry. China’s resource fund, full industrial chain and technological lead have created a castle that is tough to copy. But for the global supply chain, the transition from excessive concentration to mild diversification will be an unchanging strategic necessity in the decade to come.

Now supporting the company’s 4PL Managed Solutions customers, a new Lean AI Engineer operates in collaboration with the Lean AI Planner launched in 2025 so as to create one connected system that distinctively improves a supply chain as it operates.

Unlike supply chain evaluations, which typically take almost four weeks and look backward at what has happened rather than what should happen, this AI tech constantly assessing global supply chains can evaluate a whole supply chain in 25 to 30 minutes and find enhancements before performance is affected. The Lean AI Engineer provides the intel, and the Lean AI Planner manages shipments with a large number of interconnected AI agents and sends more data back to the Lean AI Engineer in order to engineer smarter refinements.

According to Jordan Kass, president of Managed Solutions, the breakthrough here is that it’s one closed-loop AI system. “It will run continuously, improve the operation it’s running, and heal itself when something breaks without an alert or a human noticing a problem first. The Lean AI Planner executes in real time while the Lean AI Engineer studies the results, identifies patterns, adapts logic, and influences future decisions. Just like we launched Managed Solutions to break down the barriers between TMS, 3PL, and 4PL services, this technology ends the need for separate supply chain intelligence and orchestration tools. It’s what businesses with complex logistics have wanted for decades.”

It is well to be noted that the technology is self-sufficiently managing 92% of 4PL shipments worldwide through trucking, ocean, air as well as rail, right from order creation via tendering, exceptions, routing, delivery, and carrier payment.

Kass adds that “this level of premium logistics service has traditionally depended on talented people to manage complexity, make smart decisions day to day, and intervene during disruption,” said Kass. “The problem was that talent didn’t scale. We’ve changed that by encoding expertise in the technology itself. Shippers will get infinite talent and expertise, consistently applied across every shipment, regardless of who’s available in what time zone or how much their shipping volume grows or spikes. Their team and our team can focus on strategic priorities and driving the best business results.”

Like all AI, the success depends on what data and context the system is given access to. C.H. Robinson’s AI includes a proprietary context layer, created by systematically taking institutional knowledge from workflows and the company’s veteran freight experts and then adding it to the model on a continuous basis through the efforts of 450 in-house software engineers along with data scientists.

Kass further says that “Our technology truly understands your supply chain from the inside out, because the AI leverages all the data on all the steps of your shipping end-to-end, not just the parts of your supply chain that disparate tools see. “It also has the benefit of being trained on the unique context we have from orchestrating your freight – the large and small details about your goods, your procedures, each pickup and delivery location, your carriers, your routing, and risk tolerance. That’s how the lean AI Engineer knows which improvements are right for you, instead of making generic or theoretical recommendations. If you’re an auto-parts maker shipping cross-border to a just-in-time assembly line five days a week, it won’t suggest how much you could save by shipping once a week.”

Apparently, the advanced AI by C.H. Robinson looks at more variables than human analysis or standard software analysis, and the suggestions are more practical and prioritized. A lean AI Engineer finds optimizations and hidden savings at launch. One early adopter found that converting from a mixed shipping routine to once a week would lower their loads by 17% throughout 20 locations for yearly savings of more than $1 million. Or they could consolidate their shipments to reduce their loads by 81% and save 40% by having one pickup take care of three different delivery locations.

Lean AI Engineer will be rolling out to more customers in the weeks to come and will start to evaluate a variety of other factors, like carrier performance. It will track carrier behavior in real time throughout lanes, methods of transport, and customers, spotting leading indicators of poor performance and suggesting corrective measures prior to service failures occurring.

Says Chief Strategy and Innovation Officer Arun Rajan, “Supply chains do not generally suffer from a lack of information. They suffer from the gap between knowing and doing. “Tech that sits above or outside of a supply chain can aggregate data, harmonize signals, and recommend. But it relies on someone else to execute on the signals and someone else to learn whether those actions worked. Our tech closes the gap, delivering 24/7 premium service with one unified system no one else can match.”