Although winter weather and railcar shortages challenged North American railroads in 2013, they still earned record revenues and profits. This year's financial forecast is for more of the same.
Although North American rail carriers had to contend in 2013 with operating challenges that had a worse-than-normal negative impact on service levels, shippers have good reason to remain "bullish" on railroad transportation. In fact, it is a good time for them to reevaluate their transportation portfolios to optimize the use of rail, both carload and intermodal, and to take advantage of the inherent economic and environmental benefits of rail versus truck.
Despite challenges, record profits
The financial performance of the North American Class I rail operators remained strong in 2013. The industry continues to generate record revenues and operating profits, which increased by almost 5 percent (to US $83 billion total) and 10 percent (to over US $26 billion), respectively. The average operating ratio (operating expenses as a percentage of operating revenue—a common financial metric in transportation) for the Class I carriers in 2013 was an impressive 68 percent. In addition, the industry is expected to reinvest approximately US $14 billion—more than 18 percent of annual revenues—into equipment and infrastructure improvements and expansions in 2014.
Article Figures
[Figure 1] Originated carloads of crude oil on U.S. Class 1 railroadsEnlarge this image
The big story last year was the service disruptions caused by severe winter weather across the United States and Canada. While rail service in general was good, the heavy snowfalls and extreme cold of late 2013 and early 2014 created severe service issues for both carload and intermodal across the network. Major storms affected every railroad in some way, disrupting the transportation system and supply chains even in parts of the country usually not affected by winter weather.
Most operations are back to normal, although residual effects linger in spots along the system. Intermodal service was hard hit by the winter storms, and it is taking longer than conventional rail service to fully recover. In May, intermodal train speeds were still averaging about two miles per hour slower than they were last fall, adding five hours of travel time from Los Angeles to Chicago.
Another factor contributing to the diminished service performance in 2013 was the energy sector's continued shift from pipeline to rail for transporting crude oil. The resulting increase in rail traffic created bottlenecks in key lanes. The Association of American Railroads (AAR) estimates that last year the sector shipped more than 400,000 carloads of crude by rail—a huge jump compared to 9,500 carloads in 2008 (see Figure 1). This year, crude oil shipments are forecast to reach approximately 650,000 carloads. While this is significant, it still represents only about 11 percent of the total U.S. crude oil moved in 2013—pointing to the railroads' opportunities for new business and to their need to align capital expenditures with those opportunities.
This shift to moving crude by rail has added to the shortage of railcars, including both tank cars for hauling crude and hopper cars for hauling sand and cement used in hydraulic fracturing, or "fracking." Across the board, freight railcar orders in 2013 reached more than 65,500, up from just over 55,000 in 2012. As these orders have grown, backlogs and car lease rates have climbed, too. Railcar shortages will continue beyond 2014 but will eventually be resolved when railroads and car manufacturers align their fleets with the product mix, increase their production, and move needed railcars into the network.
Poised for even better performance
The railroad industry enters the second half of 2014 poised to achieve even greater financial performance and to deliver better service.
The break-even economics of rail versus truck will continue to shift in favor of shipping over steel wheels. Even though U.S. freight rail rates increased last year, rail remains a less expensive option than trucking and a much more environmentally sound shipping policy. In fact, when adjusted for inflation, rail rates (based on revenue per ton-mile) have dropped about 42 percent since 1981, according to the AAR's April 2014 report, "The Cost Effectiveness of America's Freight Railroads." Freight rail rates in the United States also remain the lowest in the world. In general, rates are forecast to rise slightly, but at a slower rate of increase than over the past decade.
Shippers continue to increase their reliance on intermodal. As intermodal attracts more volume, the railroads are putting even more capital into the intermodal network. They are strengthening the infrastructure with more and better gateways and intermodal yards, additional containers and chassis pools, and improved rail equipment. The fastest-growing intermodal lanes are those in the 500- to 750-mile range, suggesting that opportunities for truck-to-rail diversion will increase as more shippers recognize intermodal's favorable service and economics.
The rail industry will continue to reinvest in equipment and infrastructure, as well as in the implementation of Positive Train Control (PTC) technology, which is designed to automatically stop or slow a train to prevent accidents. The continued implementation of PTC should enable the industry to improve network flow and velocity while driving improved asset productivity. These improvements will have a positive impact on both service-level performance and rates.
The "rail renaissance" continues
Railroads will remain in the growth and investment phase of the ongoing "rail renaissance" for some time to come. Since 1980, railroads have gone through restructuring, regulatory, and merger-and-acquisition phases. Now they are focusing on investing, growing, and maintaining an exceptionally strong and efficient freight railroad network. And they are making the majority of this investment with their own money—only a small portion of it is coming from public sources—to improve service for shippers.
Furthermore, the economics of rail versus trucking continue to lean in rail's favor, making now the right time for shippers to revisit their overall transportation strategy and to reconsider the position rail holds in their modal transportation portfolios.
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."