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What Tech Carriers, Forwarders, and Shippers Think Will Shape 2026 Freight Procurement

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What Tech Carriers, Forwarders, and Shippers Think Will Shape 2026 Freight Procurement

October 29, 2025

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The recent FreighTech 2025 conference once again brought together a mix of carriers, forwarders, BCOs, academics, and tech providers to hear the latest and share insights around, logistics technology and how it can benefit the freight industry.

Key Tech Trends for Global Freight in 2026

From AI to ocean freight innovation and tendering strategies for 2026, here are some of the key takeaways from this year’s event.

AI is already having an impact, especially in data processing and customer support, with expectations to manage 20% of human tasks within five years – though most organizations aren’t fully AI-ready yet.

Data quality challenges and few standards remain an obstacle for tech implementation, including for AI projects.

Ocean freight digitalization is progressing, with improved carrier APIs expected to trigger a digital transformation similar to what’s occurred in air cargo.

Strategic approaches to tendering are maturing, as technology tools for pricing visibility and rate discovery are helping companies move away from underutilized contracts on low-volume lanes toward a more balanced contract/spot strategy – as MIT research presented at the conference recommends.

Index-linked freight contracts are gaining traction as these flexible agreements are proving beneficial for all parties,often offering better costs, revenue, and reliability than traditional fixed contracts.

AI for Global Freight: Potential, Reality and Best Practices

Key Takeaways:

AI is already being used aggressively, mostly with data processing, automation and front-line customer support.

It’s still just getting started; leaders have high expectations to handle more tasks in coming years with human roles mostly evolving, rather than being eliminated, as a result.

Many are convinced that AI will have a net negative impact on sector employment.

Leaders don’t feel completely ready yet

AI was, as expected, a hot topic this year and top of mind for most in attendance. But discussion focussed on separating current practical AI applications for logistics from the hype, setting realistic horizons, and sharing lessons learned to date.

An audience poll showed expectations that within the next few years AI will handle a meaningful share of current logistics tasks currently done by humans – over half of leaders believe that at least 20% of current roles could be handled by AI in the next five years.

But there was also consensus that, along with some admitted reduction in headcount, human roles will evolve along with AI advances. Logistics professionals will leverage AI to enable teams to do more, and add more value for customers in new ways – just as many logistics tech introductions to date have enhanced instead of eliminated human roles.

Freight is complicated, however, and speakers agreed that AI can’t do it all, and not right away. At the same time, AI is already being applied in multiple ways across the freight landscape, especially for mundane and repetitive tasks. Some examples include using AI to:

Detect data anomalies or process unstructured data

Create content

Enable automation flow between systems

Power agents (and even voicebots) that handle routine customer inquiries or internal processes.

They still aren’t ready though.

That being said, only about a third in attendance consider their organizations AI-ready.

As such, best practices for AI investment, development, and introductions for logistics from those already at the forefront focussed on the following main recommendations:

Problem Mapping: Identify high-impact, high-frequency problems where AI is already likely to add value

Start Small: Begin with clear use cases and expand based on success

Focus: Build AI capabilities in areas where your company has deep domain expertise, and buy solutions for everything else

Experiment and share: Make AI tools available to teams for experimentation and facilitate knowledge sharing.

Data Quality – the Persistent Roadblock

Key Takeaways:

Lack of standards and inconsistent data remains a frustrating roadblock, including for AI

Focus on data that does work; scale from there

But even alongside the excitement surrounding AI, there was a familiar refrain that poor data quality – often from data received from partners in the supply chain, and attributable to the ongoing lack of freight data standards – continues to frustrate some logistics tech aspirations, including AI projects.

“Discovering something you can’t do right now is also important, and opens new opportunities to do that thing, and maybe more, in the future. In this case it showed the value of investing in quality data.” – Robert Khachatryan, CEO FreightRight

Robert Khachatryan of FreightRight shared a case study of the forwarder’s attempt to build an AI-driven predictive pricing system pilot with data scientists from USC. But the project had to be scrapped when they realized that much of their necessary historical freight rate data – where the inputs are complex and varied – was not clean enough to enable AI to succeed in the task.

The lesson learned was that investing in data quality now will enable successful tech, including AI, in the future.

“On the carrier side, we’ve established a shared understanding of what information we can easily exchange right now, and so we focus on that available data for digital solutions, to improve our efficiency and the customer experience.” – Helge Neumann-Lezius, Head of FCL, Hellmann

Helge Neumann-Lezius from Hellmann offered Hellman’s similar pragmatic approach to tech investment and roll outs: focus on building around the quality data you have now, while taking steps to improve data quality in other areas.

Ocean Innovation: Nearing a Digital Tipping Point

Key Takeaways:

Ocean liners are beginning to improve access to APIs

This will likely help fuel the same surge in connectivity that airline APIs have offered.

An example of this strategy is Hellman’s focus on more real-time data exchange with ocean carriers, leveraging improved API connections with carriers to enable real-time rate and tracking data.

So while ocean freight’s digital adoption has lagged air cargo’s – where API-enabled dynamic rates, market intelligence, and eBookings, including through third party platforms, are becoming more and more prevalent – several speakers suggested that ocean is approaching its tipping point.

The logistics supply chain is often only as digitalized as its least digital partner, so as ocean carrier connectivity improves the near term is likely to see a surge in digital ocean freight, including real-time rates, online bookings and TMS integrations.

Tendering in 2026: Finding the Right Balance

Key Takeaways:

Long term contracts are assumed to be the default solution for tendering but can be unreliable or underutilized

Spot freight – used strategically – can reduce costs and save time

Index-linked contracts and even hedging are gathering momentum after many years of discussion.

Looking ahead to 2026, several discussions on ocean freight tendering for the coming year revealed interesting recommendations for striking a contract vs. spot balance, explored the growing prevalence of index-linked contracts, and shared how tech is playing a larger role here as well.

Dr. Angi Acocella of MIT’s Center for Transportation and Logistics shared her recent research showing that shippers in both FTL and ocean rely on long term contracts for the big majority of their volumes, using spot to manage uncertainty – mostly for unexpected volumes, one-off shipments or lanes, or when contracted carriers are unavailable.

But the research also showed an 80/20 split: 80% of shipper volumes go on 20% of the contracted lanes, leaving many contracts for lower-volume lanes underutilized. Unused contracts not only cost shippers in the form of wasted time and resources on negotiations, but also often entail higher rates for shipments moved on these lanes – often at levels above spot costs for those shipments – and slightly higher contract rates on high volume lanes as well.

As such, she recommends examining lane volumes, contract rates and spot usage and costs from the previous year. Shippers are advised to focus contracts on the higher volume lanes, and rely more on spot for the long tail.

Research also shows the growing place for index-linked contracts in freight, and evidence that index-linked contracts benefit both carriers and shippers in the form of lower costs, increased revenue and better volume reliability than non-linked contracts or the spot market.

Multiple speakers noted the importance of trust for index-linked pilots – trust between the partners, in the rate data selected as the basis, and in the contract mechanism. As these grow, index-linked contract adoption is expected to grow as well.

Finally, speakers touched on the increased importance of technology to procurement. Tools that improve pricing/volume visibility, rate discovery, and the speed and efficiency of communication between carriers/LSPs/shippers already contribute to the ability to make better and strategic tendering decisions. Tech-enabled improvements in these areas are helping shippers and LSPs make the procurement process – for both tenders and spot shipments – less costly, faster, more efficient, and more reliable.
If you enjoyed this, you may also enjoy our recent virtual summit, which included discussions of digital freight transformation, spot/tender balances, and more. See it here.

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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Supply Chain KPIs Are No Longer Keeping Up with the Job

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Supply chain leaders are being asked to deliver far more than cost savings. They are expected to improve resilience, accelerate decisions, manage supplier risk, strengthen continuity, and support broader business strategy. Yet in many organizations, the performance metrics used to evaluate supply chain teams still reflect an older operating model built primarily around savings and transactional efficiency.

That gap matters. If the work has expanded but the scorecard has not, teams may be incentivized to optimize for short-term cost reductions while underweighting resilience, responsiveness, and risk readiness. Supplier diversification, recovery planning, sourcing cycle time, decision latency, and exposure visibility are increasingly central to supply chain performance, but they are not always captured in traditional KPI frameworks.

The Institute for Supply Management recently published a useful article on this issue, arguing that supply chain value now needs to be measured across a broader set of dimensions, including resilience, speed, risk reduction, and organizational readiness. The piece makes the case that savings remain important, but they are no longer sufficient as the primary indicator of supply chain contribution.

For supply chain executives, the larger takeaway is clear: measurement systems need to catch up with the strategic role supply chain now plays. Organizations that modernize their KPI frameworks will be better positioned to demonstrate value not only through cost control, but through continuity, agility, and better enterprise decision-making.

Read the full article from the Institute for Supply Management here: Supply Chain work has evolved faster than the KPI’s used to measure it.

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Why Regulated Supply Chains Are Prioritizing Traceability Over Pure Efficiency

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For decades, supply chain strategy was dominated by efficiency. Companies reduced inventory, consolidated suppliers, optimized transportation networks, minimized operational slack, and extended global sourcing structures in pursuit of lower costs and better asset utilization.

Those priorities still matter. But in regulated industries, they are no longer enough.

Healthcare, pharmaceuticals, aerospace, food, and medical-device supply chains now operate under a broader definition of performance. Product accountability, traceability, compliance continuity, and operational control are becoming as important as traditional efficiency metrics. In these sectors, the supply chain is not simply a cost structure. It is part of the organization’s control system.

That is why traceability is moving from an administrative requirement to a strategic operating capability. It allows companies to understand where materials originated, how products moved, which lots were affected, where inventory was distributed, and which customers or facilities received product. In stable conditions, that information may appear routine. Under disruption, it becomes essential.

Efficiency Alone Can Create Fragility

Highly optimized supply chains can perform very well when conditions are stable. The problem emerges when something goes wrong.

A supplier issue, quality deviation, transportation disruption, documentation failure, or traceability gap can quickly create consequences that extend far beyond delayed delivery. In regulated environments, these failures may trigger investigations, product holds, recalls, compliance exposure, customer disruption, and reputational damage.

That changes the operating calculus. A supply chain optimized purely for cost may not provide enough visibility or control when conditions deteriorate. The result is a shift toward a more balanced view of operational performance.

The objective is no longer simply maximum efficiency. It is controlled resilience.

Traceability Is More Than Compliance

Traceability is often treated narrowly as a compliance requirement. Its strategic value is broader.

Strong traceability improves root-cause analysis. It strengthens recall precision. It supports supplier accountability. It reduces ambiguity during disruptions. It helps organizations isolate operational risk more quickly and respond with greater confidence.

In practice, traceability becomes part of the enterprise’s ability to operate under uncertainty. A supply chain that clearly understands its dependencies can respond more intelligently than one relying on fragmented records, manual investigation, and disconnected documentation.

This is especially important in industries where the cost of ambiguity is high. In food, a traceability gap can widen the scope of a recall. In pharmaceuticals, incomplete lot visibility can delay containment. In aerospace or medical devices, documentation failures can affect audit readiness, quality assurance, and customer trust.

The strategic point is straightforward: traceability is not just about knowing what happened. It is about being able to act when it matters.

Complexity Is Raising the Bar

Several forces are increasing traceability requirements across regulated industries. Global sourcing networks are longer and more complex. Product portfolios are becoming more specialized. Regulatory scrutiny continues to increase. ESG expectations are adding new accountability pressures. Serialization, product authentication, and chain-of-custody requirements are expanding.

At the same time, supply chains are becoming more digital. Sensor data, IoT monitoring, electronic batch records, serialization systems, digital quality environments, supplier platforms, and logistics visibility tools now generate far more operational information than before.

The challenge is no longer simply collecting data. The challenge is coordinating and interpreting it across the enterprise.

That requires stronger data governance, better integration, and more contextual intelligence. Traceability systems create limited value if the data remains trapped in separate systems or disconnected from operational decision-making.

Traceability Depends on Coordination

A quality alert matters only if the organization can quickly identify affected inventory. A supplier issue matters only if downstream dependencies are visible. A transportation disruption matters only if customer, inventory, and compliance implications can be understood quickly.

This is where the broader shift toward continuous intelligence becomes important. As discussed in The Next Supply Chain Operating Model Will Be Built Around Continuous Intelligence, supply chains increasingly require systems capable of sensing, interpreting, and coordinating operational response continuously.

Traceability becomes significantly more valuable when it supports faster and more coordinated decisions. It is not enough to document product movement after the fact. Companies need traceability data to inform decisions in near real time.

This also explains why graph-oriented architectures and contextual AI systems are attracting attention. Regulated supply chain risk rarely exists in isolation. It moves through relationships among suppliers, products, lots, facilities, customers, logistics flows, and regulatory obligations.

Understanding those relationships operationally is becoming increasingly important.

The Efficiency Tradeoff Is Becoming More Nuanced

Prioritizing traceability does not mean abandoning efficiency. It means recognizing that efficiency must be balanced against resilience, accountability, and operational control.

The most efficient network on paper may not be the most resilient network under stress. A lower-cost supplier strategy may create greater exposure if visibility is weak. A highly optimized transportation network may become vulnerable if traceability and exception response are insufficient.

This does not eliminate the importance of lean operations. It changes the definition of operational maturity.

The organizations that perform best increasingly understand where visibility, traceability, and control create disproportionate strategic value. They are not simply asking how to reduce cost. They are asking where lack of control could create unacceptable operational, regulatory, or reputational exposure.

The Strategic Implication

Regulated supply chains are moving toward a broader definition of operational excellence.

Cost and efficiency still matter. But so do traceability, governed response, compliance continuity, visibility, accountability, and operational resilience.

The organizations that lead over the next decade may not simply be those with the lowest cost structures. They may be the ones capable of maintaining control, preserving trust, and coordinating response effectively under increasingly complex operating conditions.

In regulated industries, traceability is no longer merely administrative infrastructure. It is becoming part of the competitive operating model itself.

The post Why Regulated Supply Chains Are Prioritizing Traceability Over Pure Efficiency appeared first on Logistics Viewpoints.

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Medtronic: Strengthening Regulated Medical Device Supply Chains

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Medical device supply chains operate under a different standard than many commercial supply chains.

Efficiency still matters. So do inventory discipline, transportation performance, and cost control. But regulated healthcare environments must also preserve traceability, quality assurance, compliance continuity, documentation integrity, product accountability, and controlled response processes.

That changes the operating model.

Medtronic offers a useful example. As one of the world’s largest medical technology companies, it operates across a complex global network of manufacturing sites, suppliers, logistics providers, hospitals, clinicians, distributors, regulators, and field-service organizations.

The objective is not simply to move products efficiently. It is to maintain product availability, quality, traceability, and regulatory compliance at the same time.

Regulation Changes the Supply Chain Equation

In many industries, supply chain performance is measured primarily through cost, service, and working-capital efficiency.

In regulated healthcare, the equation is broader. A shipment delay matters, but so does a documentation error, labeling issue, quality deviation, traceability gap, supplier compliance problem, or uncontrolled product movement.

The consequences can extend well beyond logistics disruption. They may affect regulatory exposure, product release, recall management, or clinical continuity.

That changes how resilience is defined. In regulated supply chains, resilience is not simply the ability to move inventory around disruption. It is the ability to preserve continuity while maintaining quality, traceability, and compliance discipline throughout the process.

That is a more demanding operating requirement.

Visibility Must Extend Beyond Transportation

For medical device companies, visibility cannot stop at shipment tracking.

The enterprise also needs visibility into supplier quality, serialized inventory, manufacturing conditions, product genealogy, service inventory, documentation status, field inventory positioning, and regulatory workflows.

The supply chain is not merely transporting products. It is managing accountable product movement across a controlled operating environment.

This is why regulated industries are investing more heavily in integrated visibility and traceability systems. Companies need to know not only where products are, but whether they remain compliant, whether documentation is complete, whether quality conditions have been maintained, and whether downstream commitments remain protected.

That requires tighter coordination across supply chain, quality, manufacturing, logistics, and regulatory functions.

Exception Management Becomes More Sensitive

Exceptions carry greater operational consequence in regulated healthcare environments.

A delayed shipment may affect hospital inventory. A supplier issue may trigger quality review. A labeling problem may delay product release. A traceability gap may complicate recall management.

The organization therefore needs more than awareness. It needs governed response.

This connects directly to the broader rise of autonomous exception management in logistics operations. In regulated supply chains, earlier detection is valuable not only because it accelerates response, but because it gives the enterprise more time to coordinate a compliant response before risk escalates.

AI-assisted systems may help prioritize exceptions, assemble context, identify affected inventory, and route decisions more efficiently. But the operating environment still requires governance, escalation controls, auditability, and human oversight.

This is not uncontrolled automation. It is governed operational intelligence.

Coordination Across the Enterprise

Medical device supply chains are deeply interconnected.

Supply chain teams must coordinate continuously with manufacturing, procurement, quality, regulatory, logistics, commercial teams, field-service operations, and healthcare providers. A disruption in one part of the network can quickly propagate into others.

That is why fragmented systems create particular risk in regulated industries. Disconnected operational environments do not merely reduce efficiency. They can increase operational and compliance exposure at the same time.

For medical device companies, enterprise coordination is not a process improvement exercise. It is part of the control system that protects product integrity, customer commitments, and regulatory standing.

The Broader Lesson

Medtronic’s operating environment reflects a broader shift across regulated industries.

The future supply chain is not simply leaner or faster. It must also be more traceable, more coordinated, more governed, more resilient, and more transparent.

That requires stronger integration between supply chain execution, quality management, regulatory processes, and enterprise intelligence systems.

In regulated healthcare, the supply chain is becoming part of the trust architecture surrounding the product itself. Over the next decade, that may become one of the most important strategic operating requirements in the industry.

The post Medtronic: Strengthening Regulated Medical Device Supply Chains appeared first on Logistics Viewpoints.

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