Things are looking up on the rails. After about a year of stability (that is, limited growth), carload volume began to move up in the second quarter of 2018. According to data from the Association of American Railroads (AAR), North American carloads (excluding intermodal) were up 2.2 percent in the first half of 2018, but this figure masks an acceleration. In the first quarter of 2018, carloads were up only 0.3 percent year over year, but in Q2, they rose a solid 4.2 percent. Volume increased sequentially from Q1 to Q2 by 5.4 percent. The gains were broad-based, with only three of the 20 commodity groups included in the AAR data showing year-over-year losses in Q2.
The timing of the surge tells us something about what is and isn't happening. First, what isn't: Most likely the improvement is not coming from highway freight converting to rail carload. Truck capacity began to tighten up in Q4 2017, as the federal mandate that most trucks must be equipped with an electronic logging device (ELD) approached, and then got extremely tight after the mandate took effect in December. This situation remained through the first quarter of this year and persists today. Yet the tightening truck capacity did not affect carload activity, which remained very quiet in the first quarter. These days, there is little freight that can easily move between truck and rail. Rather, each mode has developed its own distinct market, and structural barriers inhibit easy shifts between modes.
Article Figures
[Figure 1] Four-week avg. merchandise train speeds: Total networkEnlarge this image
It's more likely that the improved rail carload picture in the second quarter represents an acceleration in the industrial economy. Gross domestic product (GDP) growth in Q1 was only 2 percent, roughly in line with prior performance over the course of the recovery. But all indications are that growth has moved up in Q2, and accelerating rail carload activity is one of the strands of evidence.
This growth in carload volume has been impressive given the continued decline in the use of coal for power generation despite the Trump administration's efforts to the contrary. (Coal has historically been the "bread and butter" of rail traffic.) The economic power of low-priced natural gas is simply too strong for coal generation to overcome. Coal carload activity in the first half of 2018 was unchanged from the prior year, mainly as a result of stronger coal exports offsetting for the moment the decline in utility coal.
The competition over operating ratio
The railroads continue to compete with each other to achieve the lowest operating ratio (OR), which is defined as expenses divided by revenue. A key method for driving down cost (and therefore improving OR) has been to lengthen trains, thereby increasing the number of cars and amount of freight handled by one crew. A critical tool in this effort has been the use of distributed power, in which unmanned locomotives located within or at the rear of the train are controlled remotely by the crew at the front of the train. Dispersing the locomotives reduces the forces generated within the train and also speeds up brake application, enabling the safe operation of much longer trains of 12,000 feet or more.
Another major recent influence on operating ratios has been the application of the concept of "precision scheduled railroading" (PSR) as promoted by the late E. Hunter Harrison, who was in the midst of implementing this operating philosophy on the CSX system at the time of his death after earlier stints at Canadian National and Canadian Pacific. While the PSR transformation involves lengthening trains, it also entails a wholesale revision of railroad operating plans, with reductions in yards, assets, and workforce in order to wring the maximum amount of efficiency out of the railroad infrastructure.
Cost reduction is only half of the operating ratio equation, however. The other means of reducing the operating ratio is raising revenue. In the absence of volume growth, this has meant continuing to raise rates at a pace exceeding that of the industry's cost inflation, a trend that has been in place for many years.
This transformation of operating practices, is not, however, evolving in a completely smooth manner. Train service has suffered. Figure 1 represents the four-week moving average of the composite merchandise train speeds of all the Class I railroads (except Canadian Pacific) as drawn from the weekly EP-274 reports the railroads make to the U.S. Surface Transportation Board. Merchandise trains are the mixed freight trains that carry the broad span of commodities handled by the railroads. The category excludes the unit trains of coal, oil, or grain, which are tracked separately, and excludes intermodal trains as well.
While average train speeds are a highly imperfect means of measuring service quality, they are useful indicators when the numbers move dramatically. Such is the case right now. Average merchandise train speeds have deteriorated substantially thus far this year, standing most recently at just 19.6 miles per hour (mph), down more than 5 percent from the same time last year and 8.7 percent lower than the average performance of the past five years. Much of the deterioration occurred during the first quarter in the absence of traffic growth, so while more volume may be contributing to the problem now, it certainly isn't the sole reason for the decline.
Intermodal: opportunities and challenges
There is a sector where rail and truck compete fiercely for market share, and that's domestic intermodal. Intermodal consists of two distinct market segments, each roughly equal in size. The international segment involves the inland movement of ISO (or international) containers from overseas. This segment mainly responds to international trade trends and port routing decisions by ocean carriers and shippers. The domestic segment covers the movements of domestic containers and trailers, and it responds to the competitive posture of intermodal vs. truck. The aforementioned shortage of truck capacity has provided intermodal with a golden opportunity to take freight off the highway. Indeed, domestic intermodal is growing briskly, with volume up 8.6 percent year over year for the first two months of Q2 2018. But earlier during the shortage, growth was restrained by a shortage of domestic containers. Intermodal carriers are now working to right-size their fleets to meet the current demand.
Meanwhile, the old stalwart "trailer on flat car" (TOFC) is helping to fill the gap. Intermodal movements of trailers were up over 17 percent year to date through May and over 21 percent quarter to date. TOFC strength is coming from three sources:
1) Movement of smaller trailers (primarily 28-foot "pups") filled with e-commerce-related cargo by parcel and less-than-truckload (LTL) carriers,
2) "Safety valve" movements by shippers who can't find a domestic container, and
3) Trailer moves by over-the-road truckers who don't own domestic containers but are using intermodal to handle load volume for which they otherwise can't find enough drivers.
There are, however, sources of concern regarding the sector's ability to handle the demand. Intermodal trains have not been immune from the rail network's general slowdown. The delays have caused trains to bunch up, which greatly impedes terminal productivity and slows equipment velocity. Drayage, the short-haul highway movement of intermodal equipment, has also been a major disruptor. Long-haul drayage carriers are subject to the new electronic logging device (ELD) requirement if their hauls exceed 115 miles from the intermodal ramp, but short-haul carriers are not. This has caused many carriers to migrate towards shorter hauls. The result has been a shortage in "long-haul" dray capacity for moves of around 200 miles from the intermodal ramps, and rates have been skyrocketing.
While Q2 typically marks the seasonal peak for truckload carriers, intermodal traffic usually peaks closer to the holidays with October typically being the busiest month. In a normal year, October domestic intermodal volume is typically about 7 percent higher than in May. With the system already showing signs of strain, there is real concern over its ability to handle the increased volumes to come.
For the balance of 2018, carload growth will likely be determined by the path of the economy. Will the presumably strong performance of the second quarter endure? Or will increasing interest rates, federal deficits, and possible trade disruption prove to be a drag that brings growth back down to previous levels? Meanwhile, the railroads will find it difficult to recruit the manpower they need to meet increasing demand with unemployment at very low levels, so service recovery may prove difficult. Meanwhile, intermodal will have all it can handle through the balance of this year as tight truck capacity will lead to robust demand. Intermodal's growth will only be limited by its ability to accept it.
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.”
Freight transportation providers and maritime port operators are bracing for rough business impacts if the incoming Trump Administration follows through on its pledge to impose a 25% tariff on Mexico and Canada and an additional 10% tariff on China, analysts say.
Industry contacts say they fear that such heavy fees could prompt importers to “pull forward” a massive surge of goods before the new administration is seated on January 20, and then quickly cut back again once the hefty new fees are instituted, according to a report from TD Cowen.
As a measure of the potential economic impact of that uncertain scenario, transport company stocks were mostly trading down yesterday following Donald Trump’s social media post on Monday night announcing the proposed new policy, TD Cowen said in a note to investors.
But an alternative impact of the tariff jump could be that it doesn’t happen at all, but is merely a threat intended to force other nations to the table to strike new deals on trade, immigration, or drug smuggling. “Trump is perfectly comfortable being a policy paradox and pushing competing policies (and people); this ‘chaos premium’ only increases his leverage in negotiations,” the firm said.
However, if that truly is the new administration’s strategy, it could backfire by sparking a tit-for-tat trade war that includes retaliatory tariffs by other countries on U.S. exports, other analysts said. “The additional tariffs on China that the incoming US administration plans to impose will add to restrictions on China-made products, driving up their prices and fueling an already-under-way surge in efforts to beat the tariffs by importing products before the inauguration,” Andrei Quinn-Barabanov, Senior Director – Supplier Risk Management solutions at Moody’s, said in a statement. “The Mexico and Canada tariffs may be an invitation to negotiations with the U.S. on immigration and other issues. If implemented, they would also be challenging to maintain, because the two nations can threaten the U.S. with significant retaliation and because of a likely pressure from the American business community that would be greatly affected by the costs and supply chain obstacles resulting from the tariffs.”
New tariffs could also damage sensitive supply chains by triggering unintended consequences, according to a report by Matt Lekstutis, Director at Efficio, a global procurement and supply chain procurement consultancy. “While ultimate tariff policy will likely be implemented to achieve specific US re-industrialization and other political objectives, the responses of various nations, companies and trading partners is not easily predicted and companies that even have little or no exposure to Mexico, China or Canada could be impacted. New tariffs may disrupt supply chains dependent on just in time deliveries as they adjust to new trade flows. This could affect all industries dependent on distribution and logistics providers and result in supply shortages,” Lekstutis said.
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.