Carriers are trying to prop up rates by reducing capacity, but they could counterbalance that by sharing the cost benefits of operating efficiencies with their customers.
The past year has brought a great deal of change to the ocean shipping industry. Realignment among carriers has transformed their economic underpinnings in ways that are still playing out and are not yet fully understood. Nevertheless, structural oversupply is still the dominant force affecting how the market for ocean carriage will shape up over the next few years.
Some carriers thought that a possible solution to structural oversupply was to create a step-change in operating costs by pooling resources. The motivation behind the "P3 Alliance" proposed by Maersk, MSC, and CMA CGM was to realize efficiencies by combining the assets of three of the largest container carriers into a single, optimized fleet deployment. The Chinese government's surprise ruling denying the formation of the alliance caught a lot of people by surprise—especially the three carriers, which had to that point been offering rate reductions to key customers based in part on those efficiencies.
Smaller carriers see this ruling as something of a victory. What is still unclear, though, is how committed the P3 carriers remain to driving value through scale. Aggressive growth through merger or acquisition could drive the economies the larger carriers initially sought through alliance and create competitive cost and service advantages.
This interesting set of developments is coming at a time of slow but steady growth in ocean freight volumes. For example, as shown in Figure 1, in April the Port of Los Angeles reported year-on-year increases in imports and exports of 11 percent and 8 percent, respectively, with overall year-to-date totals up 8 percent over the same period in 2013. While this is the first traffic increase seen at those ports in some time, these healthy volume increases need to be considered in the context of the oversupply that exists in the market.
Carriers still have orders with shipbuilders for larger-sized vessels, so more capacity is on the way. Meanwhile, they've had to become much cleverer about managing their current capacity. Using such practices as slow steaming and layups, ocean carriers have created capacity constraints on certain lanes. Additionally, the research firm Alphaliner reports that ocean carriers are continuing the record-level scrapping of smaller vessels seen in 2013. Even with these aggressive capacity-control levers in place, vessel space is still increasing at 8.4 percent, or slightly faster than current demand, according to Alphaliner's Cellular Fleet Forecast.
While demand certainly has not been growing at the same clip as capacity, volume growth and capacity management have allowed carriers to influence pricing to their advantage, even if only for short periods of time. The ebbs and flows of ocean freight rates have enabled a handful of carriers to scrape together meager profits, and the industry as a whole is financially well ahead of the darkest years of the recession.
Efficiencies could keep rates down
Rate volatility is having a negative impact on shippers and their ability to accurately forecast costs. While rates generally were down for most of 2013, spasms of variability continue to show up in spot pricing, even on relatively stable trade lanes. This has caused many shippers to consider their options when it comes to contracting with ocean carriers.
One such option for shippers is "index-based pricing," which has been around for many years but hasn't taken off in a big way. Index-based pricing locks in pricing at the beginning of a contract term and fluctuates according to the performance of a predetermined index at set intervals. One of the biggest obstacles to implementation is identifying a mutually agreeable baseline index. Carriers favor solutions from within the industry, such as Container Trade Statistics' World Liner Data Limited database.
But shippers would be wise to consider all options if this concept is attractive to them. Linking pricing to an index supplied by an industry with antitrust immunity might be cynically viewed as a conduit for reintroducing general rate increase (GRI) clauses to shippers' ocean contracts. (GRI clauses commonly are struck from large shippers' contracts, but many small and medium-size shippers have such clauses in their contracts.) Shippers should be wary of GRI clauses because they transfer risk from the carrier to the shipper, they remove an incentive for carriers to invest in increased efficiency, and they generally are based on pricing data provided by carriers or carrier organizations.
Taking the longer view, when supply and demand do eventually stabilize, container carriers will have more market power than ever. At the same time, they will be more efficient than ever, having been forced to run leaner and leaner throughout the recession and slow global recovery. The high-fixed-cost nature of the industry, along with the pursuit of contribution margin, will ensure that these efficiencies continue to develop and that the cost benefits are shared with shippers, even with a bit less competition in the marketplace.
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."