Despite slowdown, L.A./Long Beach ports still reign
When the global economy improves, will congestion in the two San Pedro Bay ports return, or will shippers and carriers be wary of replicating the conditions that led to congestion in the early part of the decade?
With the global financial crisis pushing international trade to the lowest levels we've seen in a decade, the congestion that plagued the U.S. West Coast ports of Los Angeles (L.A.) and Long Beach in 2004 may seem like a distant memory. Each month in 2008, year-over-year import volumes were below those for the same periods in 2007, and import levels for 2009 are shaping up to be even lower. According to IHS Global Insight's Port Tracker report, there is no threat of congestion at either Los Angeles or Long Beach. In fact, the extremely weak traffic has eliminated any capacity pressures.
Still, it is worth asking the question: When the global economy improves, will congestion in the two San Pedro Bay ports return, or will shippers and carriers be wary of replicating the conditions that led to congestion in the early part of the decade? Are the ports of Los Angeles and Long Beach threatened now that shippers and carriers are under even more pressure to find cost savings, or is there something exceptional about those ports that can protect them from a loss of market share?
Article Figures
[Figure 1] Containerized imports by U.S. port and distance to ultimate destinationEnlarge this image
[Figure 2] Ultimate destination of containerized imports entering at Los Angeles/Long BeachEnlarge this image
Local demand attracts carriers
To answer these questions, it is instructive to look at the import patterns for the San Pedro Bay area before the slump took hold. In 2007, nearly 25 percent of the 54.5 million tons of containerized imports coming into Los Angeles and Long Beach remained within 100 miles of the port, according to IHS Global Insight's U.S. Inland Trade Monitor. That same year, fully one-third of the containerized cargo entering the United States through those ports never traveled more than 500 miles away.
As shown in Figure 1, no other U.S. West Coast port boasts such high freight demand in its immediate vicinity as does the L.A./Long Beach complex. Roughly one out of every five containers imported through West Coast ports is destined for this region, making it more economical for both shippers and carriers to serve Southern California markets through Los Angeles or Long Beach. Local demand in Southern California acts as an anchor, keeping the shipping lines locked into the two ports.
What about the two-thirds of the traffic passing through Los Angeles and Long Beach that ventures beyond 500 miles? This segment represents the "discretionary cargo"—shipments that may be diverted to other ports. Much of that traffic passes through the enormous distribution centers (DCs) in California's Inland Empire region in San Bernardino and Riverside counties. These facilities form a sort of feedback loop with the ports. The DCs were built in that region because so many imports flowed through Los Angeles and Long Beach; now shipping lines call on those ports because they are close to the retailers' giant distribution centers.
During the boom times of strong economic growth, the Inland Empire was close to reaching its distribution capacity. But according to the Los Angeles Times, industrial vacancy in that region doubled in the last year, from 6.2 percent in the fourth quarter of 2007 to 12.4 percent at the end of 2008. The potentially good news in those statistics: The decline in international trade has freed up commercial space for the distribution centers, leaving room for expansion when trade picks up again.
However, the increase in available commercial property has a negative side. Those facilities represent entities that are no longer operating in the region, and there is no guarantee that they will come back. Large retailers have developed multi-port strategies, and it's conceivable that the Inland Empire's mammoth distribution centers will become a thing of the past as shippers limit their dependence on certain ports.
Diversion scenarios
There are three possible diversion scenarios for the discretionary container imports into Los Angeles and Long Beach: diversion to other U.S. West Coast ports; diversion to ports in Canada and Mexico; and allwater diversion through the Panama or Suez canals.
All-water options have always been available, but they are price-sensitive and are only suitable for certain market segments. All-water is unlikely to pose a significant threat, as only a small percentage of imports that leave the San Pedro Bay for inland destinations are bound for the U.S. East and Gulf coasts. (See Figure 2.) The cargo best suited for the Panama Canal is already moving through there, and piracy concerns make the Suez an even less attractive option.
The pre-crash volumes at L.A./Long Beach were so high compared to the other U.S. West Coast container ports that none of those other harbors has the capacity individually to make a major dent in San Pedro Bay's market share. L.A./Long Beach may lose market share to its neighbors as a group, but these ports are relatively mature and no game-changing expansions are expected in the near term.
In Canada, the Port of Vancouver handles some imports that are destined for the United States. It is a fairly mature port, and few changes that would make it more attractive to importers and carriers are scheduled. Indeed, Vancouver is the same distance from Shanghai, China, as the ports of Seattle and Tacoma (in the state of Washington, USA), and thus does not offer significant time savings. An intriguing potential competitor is the Port of Prince Rupert near the British Columbia/Alaska border. It is roughly 1,000 miles closer to Shanghai than Los Angeles and Long Beach and offers single-carrier intermodal service to Chicago via the Canadian National Railway. Competitive rates and transit times to the U.S. Midwest could divert some of the 25 percent of L.A./Long Beach traffic that is bound for the U.S. East North Central region.
While the Port of Lázaro Cárdenas in Michoacán, Mexico, is eight days further away from China by sea than Prince Rupert, it has the advantage of being able to serve Mexico City and Mexico's populous Central Valley as well as Texas and Louisiana via the Kansas City Southern rail line. Another potential competitor in Mexico would be Punta Colonet, which is to be built roughly 150 miles south of San Diego. Financing for the port complex has fallen through, however, and development is on hold.
This analysis assumes that Asian trade with the United States will rebound to its peak levels. IHS Global Insight predicts that trade growth will gradually recover. We expect a steep decline in 2009 followed by an upswing in 2010. There should be noticeable growth in 2011 and then slower long-term growth rates from that point onward. We expect the San Pedro Bay area to recover its 2006 freight volumes around 2012. However, the market shares of Los Angeles and Long Beach will likely decline slightly, as importers will diversify their port choices and all-water service will gain a greater (but still limited) share.
Despite the current decline in freight volumes and the potential diversion of some cargoes to other ports, their natural advantages will ensure that Los Angeles and Long Beach remain the premier entry points to the United States for the foreseeable future.
Benefits for Amazon's customers--who include marketplace retailers and logistics services customers, as well as companies who use its Amazon Web Services (AWS) platform and the e-commerce shoppers who buy goods on the website--will include generative AI (Gen AI) solutions that offer real-world value, the company said.
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."