IHS Global Insight Inc. is a leading consulting company providing comprehensive economic information and forecasts on countries, regions, and industries with particular expertise in global trade and transportation. IHS Global Insight serves more than 3,800 clients in industry, finance, and government through offices in 13 countries covering North and South America, Europe, Africa, the Middle East, and Asia.
If Marco Polo were alive today, he almost certainly would be taking advantage of a new rail freight service that is now running between China and Europe. In 2008, the German rail operator Deutsche Bahn AG launched an experimental service between China and Germany by way of Russia. The International Union of Railways (UIC) and rail infrastructure providers in Finland and Sweden have since started promoting this "Northern East-West Freight Corridor" for intermodal container service from the Far East to Scandinavia. Figure 1 shows this route.
The greatest potential advantage of the new rail service is that it promises transit times of just two weeks for containers moving from the Far East to Europe. That's a dramatic time savings compared to the six weeks it normally takes by sea. Conceivably, this rail service could also offer benefits for those beyond the confines of Europe, as some of the containers could ultimately be transferred onto ships moving across the Atlantic Ocean. That opens the possibility for importers along the eastern coast of North America to enjoy significant time savings compared to all-water service from Asia.
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[Figure 1] New rail corridor links China and Northern EuropeEnlarge this image
Although the new rail service appears to be an attractive alternative, operators will have to overcome a number of challenges before it can become reliable enough to attract steady shipment volumes. For one thing, any rail equipment used will have to navigate tracks with different gauges as it rolls across two continents. Railroads in Western Europe and China both use a standard gauge system, but trains run on wider-gauge track in Russia, Finland, and Kazakhstan. Although passenger and some freight trains in Europe are equipped with changeable gauges so they can cross different-gauge tracks, the heavier weight of freight cars makes this approach impractical on the China-to-Europe route. Furthermore, the reluctance of Russia's railroads to accept other carriers' freight cars means that intermodal containers must be transferred twice along the route to Sweden and Norway.
Varying track gauges aren't the only impediment confronting this rail service; there is also the issue of delays in border clearance. For security reasons, Russia insists on having the right to inspect all containers that pass through the country, even sealed, in-transit shipments. Cargo inspections by Russian officials undoubtedly will lengthen transit times and add to costs. And it is not cheap to run the train as it stands now; the operators already bear the considerable expense of employing their own guards to protect the cargo from theft during the journey.
Shippers that decide to use the new intercontinental route may have to put up with irregular service frequency for some time to come. That's because the trains often do not depart until the operator has assembled enough freight to justify the cost of the trip. This could spark a vicious cycle that will be difficult to break. Unless departure frequencies are at least weekly, the benefits of a 14day service diminish severely, and shippers will be unwilling to sign on. But without a sufficient customer base, there is unlikely to be enough volume to assure regular service.
There's another reason why it may be difficult to fill this intermodal pipeline with any regularity. Transportation services that attempt to fill a market gap between price and speed are not always successful (remember "fast ships"?). The operators run the risk that a service that is cheaper than air freight but more expensive than an all-water route will not find a regular market and will only be regarded as a supplementary service. If that happens to the Northern East-West Freight Corridor, then its promoters will have a tough time making this service profitable.
Although the train operators clearly have some challenges and roadblocks to overcome right now, their idea could pay off handsomely in the future. The key will be China's pattern of export growth. Until now, most of that country's export industries have been situated along the Pacific Coast, near major seaports like Hong Kong and Shanghai. The dramatic growth of the eastern cities and the lack of economic opportunities in other parts of the country have led the Chinese government to encourage growth further inland through its "Go West" development program. With that in mind, IHS Global Insight predicts that the greatest growth in China's export industries over the next decade will occur in the inland province of Sichuan (Szechwan). Figure 2 shows predicted export growth through 2018.
Why does this matter? A rail service from China's interior to Europe offers an attractive option for inland manufacturers, especially since strategically located railways on the borders with Mongolia and Kazakhstan have spare capacity. As the center of Chinese industry shifts from the coast and moves into the country's interior, a rail corridor that runs to northern Europe could eventually become a viable choice for moving Chinese goods to Western markets.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."