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“Flesh and Breath” – The Appeal of Delegating to AI and its Limits

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“flesh And Breath” – The Appeal Of Delegating To Ai And Its Limits

At the airport for an early flight, returning home after a speaking engagement, I was having a moment, feeling “tweepy” (my new word for tiredness that makes me weepy) as I stood in line to order breakfast. The trip had been a busy several days on top of a difficult year. The woman taking my order looked directly at me, smiled, and wished me a nice day. Her words were not remarkable but delivered with such utter sincerity, with light in her eyes, that they touched me just enough to lift my spirits. After eating I returned to the counter to thank her for making a difference. This may seem like an insignificant moment, but most of life is a series of small moments punctuated by a few big ones, some stupendous, others shattering. In a year heavy with crushing moments I’ve gained appreciation for the gifts of kindness, and this small exchange shone a light for me on why they matter, what I want to delegate to AI, and what remains uniquely human.

In my last commentary I argued that AI lacks what I call the 3C’s: context, collaboration and conscience. The challenges I’ve faced in the last year have reinforced the importance of two additional fundamentally human capabilities AI lacks: connection and compassion. As appetite for AI continues to grow at an astonishing pace, navigating the boundaries of what to delegate to AI and what to preserve for humans is essential.

The Appeal of Delegating to AI

AI is a tool designed by humans to do things it can do better or we cannot or do not want to do. Automation powered by AI takes over tedious grunt work involved in areas like supply chain procurement, with chatbots negotiating routine contracts with suppliers, saving money and freeing up time for professionals to handle more complex deals.

AI thrives on large volumes of data, so it can scale far beyond our cognitive capacity to crunch through reams of information quickly and synthesize the results. Googling now often places a generative AI result at the top of the page, a single answer from searching and summarizing the most relevant information. It can find and learn from patterns in big data sets to make predictions, such as when a machine is likely to fail in a factory, which external signals will most impact a demand forecast, or what actual lead times for parts will be.

AI has potential to reduce bias, since people can make inconsistent and subjective decisions based on personal opinions, so there is promise for its application in areas like hiring, lending, and medical diagnosis. But these same areas of AI promise also show risk. Since bias is primarily a problem of the underlying data reflecting existing human bias, efforts must be made to leverage AI’s strengths and mitigate its pitfalls. AI fairness is thorny, but I am hopeful that combining human and AI strengths for some of these decisions can make them more consistent and objective.

In addition to these applications of AI’s strengths, it doesn’t get tired (or weepy), irritable, bored or overwhelmed. On a different trip during another tweepy moment, exacerbated by a cascading series of flight cancellations and reroutings preventing me from getting home that night, I had to make a decision between a variety of unattractive flight and hotel options. I would have loved to simply delegate to AI finding me a room and getting me home.

The appeal of delegating to AI is borne out by data. The US National Bureau of Economic Research reported last month that Generative AI is already on track to outpace the speed of adoption of the internet and PCs. ARK Investment Management found that every four months the cost of operating AI models drops by half, beating the famous Moore’s Law on chip costs by a factor of 4-6 times. New research by Morgan Stanley finds that 50% of AI projects are delivering and 40% exceeding expected ROI. In short, delegating to AI is moving fast and making an impact.

Never Delegate Understanding – the Limits of AI

Charles and Ray Eames designed some of the most iconic furniture of the 20th century through a deep study of an object’s purpose, a process that led to their famous adage, “Never delegate understanding.” Their philosophy was grounded in foregoing assumptions about how things worked in favor of learning for themselves. We delegate understanding when we expect tools and technology to solve all our problems and surrender our own expertise. As researchers have found, we still don’t fully understand the boundaries of AI’s capabilities, a phenomenon they call the jagged technological frontier. Their experiments showed how blind trust in AI’s results was a delegation of understanding that actually led to a 19% dip in performance.

The problem is that as dazzling as generative AI can be, it doesn’t “understand,” it is a probabalistic sentence completion machine. It responds to queries based on AI models, not comprehension. Language has structure and rules, but human emotion is far less predictable. AI techniques like sentiment analysis can identify the emotions in language to provide insights for certain purposes like customer service or targeted marketing, but these methods don’t achieve true emotional intelligence, they only barely scratch the realm of human feelings, which defy rationality.

The Importance of “Flesh and Breath”

My father spent the last year and a half of his life in a skilled nursing facility, and while visiting him I was saddened to observe so many elder adults languishing alone, because research is clear that we are wired for connection. This exposure piqued my interest in so-called social or care robots that can mimic pet therapy, visit residents, facilitate social interactions, offer tailored suggestions for healthy behaviors like exercise, and more. While I in no way see these devices as substitutes for humans, I’m open to anything that might plug the dike of what former US Surgeon General has called “an epidemic of loneliness.”

And yet I understand the response of a friend who spent many years working with the elderly – she is adamant that stemming loneliness requires “flesh and breath,” not electronic devices. Her reaction points to the limits of AI – given enough data, it can analyze facial expressions and voices to detect emotions and even respond, but it doesn’t understand, because it doesn’t feel. And the ability to feel, in spite of the inevitable heartache, is what fuels connection and compassion.

The Power of Compassion and Connection

My circumstances over the last year forced me to discuss very personal details with strangers as well as colleagues. The kindness I’ve received in response has been astounding. People I hardly knew checked in to ask how I was doing. A colleague on maternity leave sent regular doses of baby photos. One man I know professionally but have never even met in person offered to host me at his house in New Hampshire so I could hike, knowing it is both a hobby and solace. My compassion cup has been overflowing.

When I opened to the door to my own experience, people walked in to share their own stories of heartbreaking challenges, some past, some present. I heard tales of fire, death of a parent, loss of work, sexual assault, mental illness, addiction, degenerative disease. People shared understanding of my pain and a common message that I will make it, no matter how hard it may seem now. They didn’t delegate understanding but created it by listening, greeting me with compassion, and walking alongside me in sharing their own stories, creating connection we can’t delegate to AI.

Call centers are heavily studied in part because of the abundance of data, and one area of research is how to improve customer service through analyzing emotions callers express in order to offer employees guidance in responding more effectively. I’m all for anything that can make these calls better, but the reason my small moment in the airport warmed my heart is because this woman’s customer service was exemplary, not based on a script but borne of authenticity and compassion, brimming over and creating connection. AI is impressive in its abilities to help manage crew schedules, design optimal flight paths, detect plane safety issues, predict parts needed for maintenance and reduce emissions from fuel, but in my tweepy airport moment I was grateful for compassion and connection delivered via flesh and breath.

A significant challenge with AI today is hyperinflated expectations that bring the risk of another AI winter – a phenomenon that has beset the field before, when disappointments in progress chill both interest and funding.

Polly Mitchell-Guthrie

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Typhoon disruptions driving congestion and putting pressure on rates – September 25, 2026 Update

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Weekly highlights

Ocean rates – Freightos Baltic Index

Asia-US West Coast prices (FBX01 Weekly) increased 2%.

Asia-US East Coast prices (FBX03 Weekly) increased 2%.

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

Asia-Mediterranean prices (FBX13 Weekly) decreased 4%.

Air rates – Freightos Air Index

China – N. America weekly prices decreased 7%.

China – N. Europe weekly prices increased 1%.

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

Analysis

The increasingly cold war in the Strait of Hormuz – including reported progress in an Iran-Oman authority-sharing agreement – heated up a little recently. Alongside more Iranian strikes on vessels and US claims of demining progress, the US hit Iranian rocket launchers possibly dedicated to deploying more mines and Iran responded by targeting US sites in Jordan.

Transpacific ocean rates ticked up by 2% last week to new peak season highs for both coasts as volume strength has stretched on through August despite the early start to peak season demand back in late May.

Prices passed the $7,600/FEU mark for the West Coast and climbed to about $9,800/FEU to the East Coast. Carriers are increasing capacity slightly for September in anticipation of still-elevated volumes – with more rate increases, especially for the East Coast, possible to start the month – up until October’s Golden Week, with blanked sailings set for the holiday period. Though there is no clear explanation for the surprisingly resilient demand, the absence of tariff hikes in late July and an increase in data center hardware volumes may both be contributing. Tariff refunds that are enabling some retailers to reduce prices may also be spurring some retailers to increase inventories.

Coming Panama Canal, low water restrictions have some carriers planning surcharges for transiting containers in September, which could add pressure on some East Coast rates soon.

Another likely contributor to elevated transpacific container rates is the unrelenting congestion in major Far East hubs from the succession of typhoons that have hit the region since mid-July. The latest, Typhoon Saudel, closed ports including Shanghai and Ningbo for several days last week, disrupted operations as far north as Busan and could stay strong enough to impact Shenzhen later this week.

The series of storms has prevented impacted ports from completely clearing backlogs before new shutdowns, with as many as ninety ships waiting more than a week for a slot in Shanghai, and carriers skipping calls at backed up ports leading to increased transhipment volumes at other ports in the region.

Far East congestion – as well as N. Europe hub backlogs, partly due to low, but improving, water levels in the Rhine – is also a factor to current Asia – Europe rate levels. Prices have cooled on easing demand since mid-July but capacity constraints may be helping rates remain above pre-peak levels. Asia – N. Europe prices have fallen more than $1,000/FEU since their July peak, but at $4,600/FEU are up about 70% compared to before the early start of peak season in mid-May. Rates at $4,800/FEU to the Mediterranean are down more than $2,000/FEU but are still 40% higher than three months ago.

Transatlantic rates climbed $400/FEU in the last two weeks to $2,600/FEU as carriers reduce capacity on the lane. Several carriers are planning additional, significant price increases for September, though some observers are skeptical that these rate hikes will stick.

In air cargo, the Freightos Air Index global benchmark eased 10% last week, but remains more than 20% higher than a year ago due to elevated fuel costs and some lingering capacity constraints. Far East – US rates eased 7% to about $6.00/kg and prices to Europe ticked up 1% to $4.60/kg last week, though both lanes are trending up so far this week, possibly due, once again, to typhoon-driven disruptions.

Freightos Terminal: Real-time pricing dashboards to benchmark rates and track market trends.

Procure: Streamlined procurement and cost savings with digital rate management and automated workflows.

Rate, Book, & Manage: Real-time rate comparison, instant booking, and easy tracking at every shipment stage.

The post Typhoon disruptions driving congestion and putting pressure on rates – September 25, 2026 Update appeared first on Freightos.

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What Is a WMS in 2026? The Warehouse Management System Is Becoming Something More

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What Is a WMS in 2026? The Warehouse Management System Is Becoming Something More is ultimately a question about category boundaries. In 2026, warehouse management systems still has a recognizable core, but the value increasingly comes from what happens around that core: how operating state is shared, how decisions are coordinated, and how quickly the system can respond when conditions change. Buyers therefore need a definition based on the work the platform is accountable for, not on the longest possible feature list.

The core job has not disappeared

At the center, the category remains the operational system that manages inventory location, warehouse work, task priorities, replenishment, picking, packing, staging, and shipping inside the distribution operation. Core execution discipline matters because advanced analytics or AI cannot compensate for weak transaction integrity, incomplete master data, or unreliable operating state. A modern platform has to do the foundational work consistently before its higher-order intelligence becomes valuable.

That foundation now spans inventory control, receiving and putaway, replenishment, wave and waveless work release, picking and packing, labor coordination, shipping, yard and dock interfaces, analytics, and increasingly automation orchestration and AI-assisted decision support. The breadth matters, but breadth alone is not the differentiator. Two products can check many of the same boxes and behave very differently under real operating pressure.

The category boundary is expanding

The market is being pulled outward by labor scarcity, tighter customer cutoffs, omnichannel fulfillment, higher SKU complexity, automation investment, faster order cycles, and the need to coordinate people and machines in real time. As a result, platforms are being asked to operate on shorter planning cycles, exchange more events with adjacent systems, and support decisions that used to be handled through email, spreadsheets, meetings, or manual follow-up.

The architectural context is increasingly ERP and OMS upstream; WMS at the inventory-and-work core; WES/WCS, robotics, conveyors, sortation, labor systems, YMS, parcel, and TMS around the execution edge. That makes interoperability part of functional performance. A capability that cannot receive the required state, make a timely decision, or push a usable action into the execution environment is less valuable than its demo may suggest.

What still defines the boundary

A WMS should remain accountable for warehouse inventory and work state even as orchestration, automation control, and decision support extend beyond the traditional application boundary

A useful category definition should therefore separate adjacent capabilities from genuine responsibility. The question is not whether the platform can display or discuss warehouse management systems; it is whether it can reliably perform the work, govern the decisions, and sustain the operating state that the category requires.

The 2026 buyer test

Buyers should evaluate operational fit, configurability without excessive customization, automation integration, real-time work orchestration, data and API architecture, scalability, implementation model, upgradeability, and measurable warehouse outcomes. The practical proof should come from operating scenarios such as a late inbound trailer, a constrained dock, a wave that threatens a carrier cutoff, an automation cell that goes down, or an urgent order that must be reprioritized without destabilizing the rest of the facility. Those scenarios force providers to show how the product behaves when plans change, data are incomplete, objectives conflict, or the preferred option disappears.

That is what makes the 2026 market different. The category is no longer defined only by what the software records. It is increasingly defined by how effectively it helps the operation decide and act.

A broader WMS category needs stronger boundary discipline

As WMS expands into orchestration, automation, labor, analytics, and AI-assisted work, buyers should be more—not less—precise about accountability. Inventory state, work state, task release, exception handling, and shipping execution still need an authoritative operating core. Adjacent tools may contribute specialized intelligence or equipment control, but the architecture should make clear which system owns the state that downstream decisions depend on.

This matters during implementation as much as selection. A platform can look broad in a demonstration yet create fragile operations if inventory, work priorities, automation signals, and carrier cutoffs are reconciled through custom logic outside the product. Buyers should ask where state lives, how quickly it changes, which interfaces are standard, and how the design behaves during upgrades, automation outages, or sudden reprioritization.

Related Logistics Viewpoints research

2026 Warehouse Management Systems Market Map
The New Architecture of Logistics
Systems Engineering in Logistics
The Digital Backbone of the Warehouse: Trends Shaping the 2026 WMS Market

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The 2026 Market Map is designed to help organizations understand the structure of the WMS market, evaluate provider differences, and identify the capabilities most relevant to their operating environment.

For end users and buyers

If your organization is evaluating WMS platforms or preparing a shortlist, I would be glad to provide the Market Map brochure and discuss the evaluation questions and provider differences most relevant to your requirements.

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Providers may request the brochure, discuss the research framework, or contact me to confirm how their capabilities are represented in the market assessment.

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The post What Is a WMS in 2026? The Warehouse Management System Is Becoming Something More appeared first on Logistics Viewpoints.

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This Week in Logistics: Freight Tightens, AI Moves into Execution, and Networks Get More Strategic

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This Week in Logistics: Freight Tightens, AI Moves into Execution, and Networks Get More Strategic

The logistics news this week was broader than any single technology trend. Artificial intelligence continued moving deeper into transportation, warehousing, and physical execution, while freight markets showed signs of tightening, geopolitical disruption pushed fuel and shipping costs higher, major logistics providers repositioned their networks, and transportation technology attracted new investment.

Taken together, the week’s developments point toward a logistics environment in which operational execution is becoming more technologically sophisticated just as the external operating environment becomes more difficult. That combination matters because better technology is arriving at precisely the moment logistics organizations have more variables to manage.

Freight Markets Are Finally Beginning to Tighten

After a prolonged freight recession, the U.S. trucking environment appears to be changing. Recent reporting points to strengthening truckload economics as transportation capacity tightens and demand improves in selected sectors. Spot freight rates have reportedly risen materially, while contract pricing has also begun moving upward, with data-center construction and manufacturing activity contributing to freight demand, particularly in areas such as flatbed transportation. (marketwatch.com)

The change does not mean every carrier or every freight market has suddenly entered a boom, but it does suggest that the balance between shippers and carriers is becoming less one-sided than it has been during much of the post-pandemic freight downturn. For logistics executives, this is the point in the cycle when transportation strategy becomes important again.

Shippers that became accustomed to abundant capacity and aggressive carrier pricing should be careful about assuming those conditions will continue indefinitely. Routing guides, contractual relationships, carrier mix, fuel exposure, and network flexibility deserve renewed attention because freight markets eventually rebalance.

Fuel and Geopolitics Are Becoming Logistics Variables Again

The change in transportation economics is being amplified by energy markets. Oil prices moved higher this week as the U.S.-Iran conflict again raised concerns about Middle Eastern supply and shipping through the Strait of Hormuz. Vessel traffic through the strait has fallen sharply, while disruptions to refining capacity in the Middle East and Russia have put additional pressure on diesel markets. (reuters.com)

The logistics implications extend well beyond the price displayed at a truck stop. Higher diesel costs flow through truckload transportation, parcel, rail, ocean shipping, and ultimately shipper fuel-surcharge programs. Reuters reported that transportation companies have increased fuel surcharges as the conflict pushed energy costs upward, rekindling the perennial debate over how closely carrier surcharge formulas actually track underlying fuel costs. (reuters.com)

The global diesel trade itself is also being reshaped. Asian refiners significantly increased diesel shipments to Africa during August as Middle Eastern supplies declined, while Turkey sharply increased imports from the United States and India after Russian supply disruptions. (reuters.com)

These are energy stories, but they are also logistics stories because fuel availability, refinery geography, shipping-route security, freight rates, and transportation costs remain deeply interconnected.

UPS Is Repositioning Around Integrated Logistics

One of the most strategically interesting developments of the week came from UPS. The company announced a new operating structure intended to make better use of its worldwide transportation and logistics network while continuing its shift away from being defined primarily as a domestic small-package carrier.

UPS is standardizing more operations globally and putting greater emphasis on integrated logistics, international operations, healthcare logistics, industrial and automotive markets, and higher-value customers. The restructuring follows a substantial reduction in lower-margin Amazon package volume and the closure of a significant number of domestic sorting facilities. (freightwaves.com)

The strategic direction deserves attention because parcel networks are extraordinarily difficult and expensive assets to build. The challenge for companies such as UPS is increasingly to use those assets across a wider collection of logistics services rather than compete primarily on moving another residential package. The distinction between parcel carrier, freight provider, healthcare logistics provider, international transportation company, and integrated logistics provider continues to blur.

That is another example of a larger trend across logistics: traditional category boundaries are weakening.

Transportation Software Keeps Consolidating

The transportation-management market produced another notable transaction. Descartes Systems Group acquired Tai Software for approximately $100 million, adding a freight-broker-focused TMS platform to the company’s broader logistics technology portfolio. Tai supports truckload, less-than-truckload, drayage, cross-border freight, quoting, carrier sourcing, execution, invoicing, and customer workflows. (descartes.com)

The transaction is interesting for more than its size. Freight brokerage remains an information-intensive business in which relatively small improvements in automation can materially affect operating leverage. Traditional brokerage requires people to perform large numbers of repetitive activities, including quoting freight, identifying carriers, communicating with drivers, updating customers, tracking shipments, investigating exceptions, invoicing transactions, and reconciling documentation.

AI and workflow automation increasingly allow transportation platforms to absorb more of that administrative work. That makes TMS platforms more strategically valuable because they are evolving from systems that record transportation activity into systems that increasingly orchestrate it.

A related signal came from the investment community. Mubadala Capital acquired a majority position in Arrive Logistics, with Arrive planning additional investment in its technology and AI-enabled transportation platform. (wsj.com) Capital is still interested in logistics, but increasingly the attraction lies where technology can improve the economics of logistics execution.

Amazon Pushes Automation Toward the Delivery Station

Warehouse and last-mile automation also continued moving forward. Amazon’s reported Project Tetromino targets one of the harder parts of the company’s logistics network to automate: the delivery station. These facilities sit between fulfillment operations and the final delivery route, where packages must be received, sorted, sequenced, staged, and ultimately loaded into delivery vehicles.

Amazon is reportedly investigating greater use of robotics, automated storage, AI, and package-sequencing technologies to automate more of that work. Internal projections cited in reporting suggest the approach could significantly improve productivity at future delivery stations. (businessinsider.com)

This is strategically important because the next generation of logistics automation is moving away from isolated automated tasks. The first wave of warehouse robotics focused heavily on moving inventory or assisting workers. The emerging wave is increasingly about orchestration: how inventory, robots, software, labor, conveyors, transportation schedules, and customer commitments operate as one coordinated system.

That question applies equally to fulfillment centers, distribution centers, sortation hubs, and delivery stations.

AI Is Moving from Advice Toward Execution

This week’s technology stories reinforce a trend that Logistics Viewpoints has been following closely: AI is moving from answering logistics questions toward performing logistics work. That does not mean autonomous transportation and warehouse systems are about to operate without human supervision. It means the software layer is beginning to assume responsibility for increasingly bounded operational activities.

Transportation applications can already automate portions of load creation, carrier sourcing, documentation, exception management, and customer communication. Warehouse systems are increasingly optimizing tasks, inventory placement, robotic fleets, labor allocation, and workflow priorities, while supply chain copilots are beginning to evolve toward agentic systems that can interact with enterprise applications rather than simply summarize their contents.

The critical question therefore shifts from whether AI can provide a useful recommendation to which operational actions AI should be permitted to perform, under what constraints, and with what level of human oversight. That distinction will become increasingly important as logistics AI moves closer to execution.

Freight Security Is Becoming Harder to Ignore

Not every important logistics technology problem involves automation. Cargo theft remains a growing operational concern, with reported U.S. cargo theft increasing 5% sequentially during the second quarter, according to data cited by FreightWaves. California and Texas remain major hotspots, electronics are among the most frequently targeted commodities, and warehouses, truck stops, and rail facilities continue to attract criminal activity. (freightwaves.com)

The problem has become increasingly sophisticated. Recent incidents involving fraudulent pickups illustrate how thieves can exploit the digital and administrative layers of freight transportation rather than physically hijacking a truck. In one widely reported California case, thieves allegedly used fraudulent trucking information and documents to obtain approximately $70,000 of beverage cargo from a distribution facility. (theguardian.com)

That should concern shippers because transportation networks increasingly depend on electronic identity, digital documentation, brokers, subcontractors, and rapid tendering. The same connectivity that makes freight networks more efficient can create new vulnerabilities, which means carrier identity verification, pickup authentication, cybersecurity, and transaction validation are becoming part of mainstream logistics risk management.

Rail Consolidation Remains a Major Strategic Question

The proposed Union Pacific-Norfolk Southern combination also continues moving through the regulatory process. The Surface Transportation Board has established a procedural schedule and resumed its review of the proposed transaction, while the railroads and opponents continue debating the merits of the combination. The STB has explicitly noted that moving the process forward does not constitute approval of the merger. (stb.gov)

For shippers, the importance goes well beyond the two companies. A transcontinental rail combination would potentially reshape competitive dynamics across U.S. freight transportation and could eventually influence intermodal service, network design, pricing, terminal investment, and relationships between railroads and motor carriers.

This is likely to remain one of the most consequential structural transportation stories to watch.

The Bigger Picture

What makes this week’s news interesting is that several different logistics cycles are converging. Freight markets appear to be tightening while fuel prices and geopolitical risk are again affecting transportation economics. Major providers such as UPS are reconsidering how their physical networks should compete, transportation technology continues consolidating, and private capital is backing logistics companies that can use AI and automation to improve productivity.

At the same time, Amazon is pushing robotics deeper toward last-mile execution, cargo thieves are exploiting increasingly digital freight networks, and regulators are evaluating transportation combinations that could reshape the structure of U.S. freight networks for decades. These developments reflect an increasingly complicated environment in which logistics organizations must simultaneously manage physical assets, technology platforms, network economics, security, and external risk.

The competitive advantage is therefore unlikely to come simply from having more automation, more software, or more transportation capacity. It will come from coordinating those assets better by connecting transportation, warehousing, labor, inventory, automation, data, and decision-making into an operating architecture capable of adjusting as conditions change.

That is where logistics appears to be heading. The future of logistics will not simply be more automated; it will be more adaptive.

The post This Week in Logistics: Freight Tightens, AI Moves into Execution, and Networks Get More Strategic appeared first on Logistics Viewpoints.

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