The nation’s trucking woes are as challenging as ever. As companies work tirelessly to ship critical goods, they’re wrestling to secure capacity, control costs, and get their products to their destination on time.
Since 2017, we’ve published the quarterly U.S. Bank Freight Payment Index, which is based on data from tens of thousands of paid truck freight invoice transactions between shippers and carriers. For context, in 2021 we processed more than $37 billion in shipper and carrier payments. The Index provides a window into changes in shipping cost and volume on a quarterly basis. Importantly, we break the data down by region, as each region has unique challenges. What follows are key points from our most recent Index and other sources along with ideas for enhanced support to help navigate the industry’s ongoing volatility.
Spending growth
One trend to watch is that the Index shows continued growth in spend by shippers. Spending on truck freight in Q2 increased 3.3% from Q1 2022 and was up 19.7% year-over-year. This increase is due not only to record diesel prices but also to a movement of shipments from the spot market back to the contract market.
Most of the transaction volume that we track is from the contract market, therefore the U.S. Bank indexes are more reflective of contract freight as opposed to the more expensive spot market. Our data indicates that even though contract carriers seemed to have held their prices relatively steady, there’s increased utilization of the contract market.
In the second half of 2020 and through most of 2021, shippers relied heavily on the spot market to manage capacity challenges stemming from driver and equipment shortages. The spot market also helped address the tremendous spike in household goods spending as consumers stayed home and stocked up.
But as spending on travel and services began to increase in 2022 and the economy contracted in Q1, trucking capacity opened up and the freight market shifted back to contract carriers. The slight decrease in demand was offset, however, by the dramatic rise in fuel prices, as well as some strength in manufacturing and housing in various parts of the country. These factors helped push the spend index higher in Q2, in spite of the modest slowdown in the economy during the quarter. From a volume standpoint, the U.S. Bank National Shipments Index increased 2.3% in Q2.
Regional trends and revelations
Interestingly, changes in shipment volumes varied by region. Shipment volumes decreased for two regions—the Southeast and West—in Q2, by 4.3% and 0.7% respectively. Contrast that with the volume gains in the Northeast (7.3%) and the Midwest (6.8%). Compared to the same quarter in 2021, the Southwest recorded a 2.8% volume gain—the fifth straight quarter with a year-over-year increase. (See Figure 1.)
Looking more closely at the Southeast’s considerable decline, this region’s shipments index contracted a little over 12% year-over-year—far outpacing the other five. Reasons leading to this drop could include softer housing starts (a big factor for this region) and slower retail sales in the region. Although tourism-related services may be strong in the Southeast, trucking to support these services generates less volume than the transportation of goods.
Alternatively, the Midwest demonstrated the power of strong manufacturing output, which fueled higher Q2 truck freight levels in this region. Even more pronounced, the Northeast region posted its largest quarterly gain in three years. Housing starts in the region were stronger than the others, and a higher factory output helped boost freight volumes to the nation’s highest level.
Driver and equipment shortages
As noted earlier, over the past two years, the spot market surged as shippers’ contract carriers couldn’t haul the added freight during the pandemic because of capacity and driver constraints. Now, contract freight is outperforming the spot market. However, driver and equipment shortages continue to cause problems.
According to American Trucking Associations (ATA), the driver shortage is at a historic high with no end in sight.1 Over the next decade, more than one million new drivers will be needed to replace those leaving the market and enable growth, the ATA reports.
A range of incentives are being offered to recruit new drivers and retain current ones. In fact, the ATA notes that average annual earnings have increased by five times the previous standard. But some drivers are choosing to work less. Others are reluctant to make trucking their career due to lifestyle challenges—including time away from home—and other barriers to entry, such as failed drug tests, driving record infractions, and criminal histories.
Adding to the turmoil, truck parts (for new and used trucks) are in very short supply due in part to pandemic-forced factory shutdowns and other supply chain issues, such as port congestion, the Ever Given Suez Canal blockage, and weather events. To compensate, fleets are being even more vigilant about maintenance schedules, recognizing that their equipment must do more than ever before, all while maintaining excellent safety standards.
Smart support for tough times
Diesel prices, labor costs and availability, equipment costs and availability, and economic uncertainty—these are tough times for the industry. Smart use of shipping data, analytics, and industry benchmarking, however, can help companies better navigate these volatile times. Insights regarding trends affecting the entire industry—particularly spending and volume levels—can be very useful for logistics planning.
Tools such as our Freight Payment Index can help shippers analyze current freight shipping data at both national and regional levels to make informed decisions based on factors most relevant to their organization. Robust analytics can help supply chain and logistics professionals gain a further edge over their competition by providing reporting and data analysis capabilities that dive deeper into causes and effects and model options to further improve their supply chains.
Finally, benchmarking can help companies analyze utilization and spend to see where they stand compared to their peers. This analysis further enables them to gauge their performance and determine opportunities to adjust and achieve improvements.
Nationwide capacity and supply data are very dynamic. But the more an organization can anticipate issues and discuss them with its stakeholders, the more it can maintain an effective, responsive supply chain—even in the most challenging times.
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."