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Escape the chaos of calls, faxes, and endless emails. Step into a connected world where suppliers, shippers, customs, ports, and more unite on a single platform for seamless, contextual collaboration




Demand the driver as carriers prepare for Q4 capacity management
European container demand could weaken in the fourth quarter, as a significant share of this year's peak season cargo appears to have been brought forward. According to Italian container logistics provider Sogese's August Europe Container Market Update, demand rather than vessel capacity will be the key variable for the remainder of 2026, with carriers continuing to manage supply carefully, despite fleet growth. "Peak season used to test how much capacity a business could secure. Today it tests how consistently it can execute. The companies that perform best this year will not necessarily move more containers. They will make fewer planning revisions, position inventory earlier, and sustain operational discipline for longer," said Andrea Monti, CEO and MD, Sogese. The warning comes as global schedule reliability deteriorates. Recent Sea-Intelligence data showed reliability falling to 62.6% in June from 64.5% in May, with vessels arriving an average 5.3 days behind schedule. Maersk was the most reliable of the top 13 carriers, at 77.1%, followed by Hapag-Lloyd at 75.6%, and MSC at 72.1%., Meanwhile, freight rates have begun to soften, according to Drewry's World Container Index. The WCI reached $4,639 per 40ft on 9 July before falling 3%, to $4,255 by 30 July. Sogese says the simultaneous decline in rates and schedule reliability suggests demand is retreating faster than carriers are reducing capacity. The company estimated that close to 20% of nominal global fleet capacity is effectively unavailable, with Cape of Good Hope diversions alone absorbing about 2.5m teu and adding one to two weeks to transit times. Sogese also pointed to evidence of earlier-than-usual peak demand, with Rotterdam's deepsea container volumes rising 5.2% in the first half, including an 8% increase in imports from Asia, while overall container throughput remained broadly flat. Sogese's base case is for demand normalisation in Q4, with inventories rebalancing, freight rates correcting further, and effective capacity increasing. Carriers are expected to manage the adjustment through blanked sailings and network changes rather than a sharp correction. "The real question is not whether disruption continues. It is how the market behaves once this peak unwinds. "Carrier discipline and inventory levels will decide whether today's balance holds or a new phase of volatility begins, and businesses that plan for both outcomes will be better placed than those betting on a single scenario," said Mr Monti.
Source: theloadstar.com
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AI has reached forwarders' P&L - now the arguments begin
AI appears poised to transform freight forwarding. And the industry's biggest players are finally starting to put numbers on it. Kuehne+Nagel told investors at its Q2 earnings call that AI initiatives were expected to deliver savings of up to Sfr150m ($184m) in 2027, while improving productivity by around 5%. It is not alone. CH Robinson also told investors AI was already translating into financial performance, claiming productivity improvements of more than 60% since the end of2022 had helped drive a 20% increase in adjusted operating income in the second quarter. For an industry that has spent the past two years experimenting with new technologies, it is a clear sign that AI has moved beyond pilot projects, and onto the P&L. But while there is growing agreement that AI will reshape freight forwarding, there is little consensus on what that will ultimately look like. The debate has intensified following Gartner's prediction that, by 2030, 60% of supply chain management software will incorporate agentic AI, with enterprises increasingly deploying clusters of specialist AI agents that work together to complete complex tasks. But, of course, not everyone agrees. FreightSuite says the industry's fascination with multiple specialist agents risks solving the wrong problem. "We're able to do a lot more with agents that are operating inside the TMS than... daisy-chaining a lot of agents outside of the TMS together," co-founder Sam Moore told The Loadstar. "The internal agents have all of the context to the TMS... external ones can't actually get the quantum of data they need to achieve the levels of automation people are setting out to get." Rather than building thousands of specialist AI workers, FreightSuite argues that the future lies with a handful of far more capable "super agents", each able to understand an entire shipment, access every piece of operational data, and reason across multiple workflows. "We see super agents being where the industry is going to go," said co-founder William Jacobs. "Our more controversial part of that is the thousands of small agents versus... a handful of larger agents." Mr Jacobs argued that dividing intelligence across numerous specialist agents inevitably fragmented decision-making. "These larger super agents... can have holistic reasoning," he said. "Whereas if you're bolting lots of agents onto fragmented data... that orchestration layer just becomes a patch on top, rather than actually solving the problem." The company believes context is the defining advantage. "AI is no different. It needs as much context as it can have to be able to make the right decision," Mr Jacobs said. Not everyone shares that vision. Former Magaya executive Kristjan Lillemets believes the industry should move in almost the opposite direction, telling The Loadstar: "I'm currently in the clusters of specialist AI agents camp, mainly due to trust. "Building harnesses around many agents, each with a smaller set of responsibilities, allows more control and evaluations around which agent produced a faulty result. This will allow for faster troubleshooting, human intervention and fixing compared to a 'super agent', which might appear too much of a black box. "For AI to succeed in vertical industries with deep operator expertise, trust is the key issue. The more transparent the system, the easier it is to trust it." Mr Lillemets says the real challenge is not the sophistication of AI models but the quality of logistics data. "The models are probably smart enough already for what we need," he said. "Data is the biggest limitation." Robert Petti, founder of Prompt Global, believes the entire debate risks missing the point. "I believe focusing on multi-agent versus super-agent architecture is the wrong approach," he said. "The real question is about capabilities, not structure. "If a single agent can handle everything effectively, that is a positive outcome. The primary goal is that the agent enhances the user's or company's performance and improves the customer experience." Instead, he argues that clean, structured data, governance and business context will prove far more important than the underlying AI architecture. Project44 chief executive Jett McCandless also cautions against organisations accumulating ever more standalone AI tools. "If I was advising [a freight forwarder], I'd say 'don't buy another point agent'," he told The Loadstar. Instead, he argues AI should combine APIs, specialist agents, and a central AI "brain" operating across a unified logistics data graph. Despite their differing technical philosophies, there is one point of agreement. None believes the future lies in AI chatbots that simply answer questions or draft emails. Instead, they expect AI to execute operational work - processing bookings, handling documentation, responding to customers, and managing exceptions - while humans increasingly focus on commercial relationships and genuinely complex problems. FreightSuite says it has already demonstrated what that future could look like, recently completing an end-to-end shipment that was more than 90% agentic, with human involvement largely limited to customs compliance. Whether the industry ultimately converges around specialist agents, super agents, or hybrid architectures remains an open question. What is less disputed is that, as CH Robinson's strategy demonstrates, AI is no longer an experiment - it is a competitive advantage measured in margins, not promise.
Source: theloadstar.com
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'Data center conundrum': what if the financing boom outruns physical reality?
Would you believe it: the regulator has confirmed that post-crisis investor protections never applied to a fast-growing securitization market financing the biggest driver of air cargo growth. Just as moratoriums multiply and 50-plus projects are canceled. The Securities and Exchange Commission (SEC) has confirmed that a set of post-2008 financial crisis safeguards do not apply to data center securitizations, a clarification that will make it cheaper and faster for operators to raise debt against their facilities - and which ...
Source: theloadstar.com
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