Trucking and rail capacity and service shifted in 2019 compared with 2018. Instead of the high spot-market rates and capacity shortages that shippers faced during 2018, freight transportation markets mostly improved in 2019 with available supply overtaking weakening demand.
Trucking companies found themselves with excess capacity as the pace of shipping demand downshifted from 2018. As a result, shippers benefitted from lower trucking rates and adequate capacity. The pressures from limited truck driver availability, even with tight labor markets, were also less severe.
Article Figures
[Figure 1] Percent change in real U.S. business fixed investmentEnlarge this image
[Figure 2] Change in U.S. industrial production and real GDPEnlarge this image
Railroads, for their part, saw a shrinking in unit volumes for intermodal services year-over-year as well as for almost all carload commodity categories. While further adoption of Precision Scheduled Railroading operating practices—such as more precise train car supply management and as a result more consistent transit times—had some impact on volumes, the underlying cause of the freight sector weakness was a slowing freight economy in 2019.
While U.S. household consumption was relatively strong, it was offset by weaknesses in manufacturing, agriculture, and trade-related shipping. Will this situation reverse itself again in 2020, or can shippers expect a continuation of the favorable freight market conditions they saw in 2019? Economic conditions will determine the answer.
2020 outlook
IHS Markit is forecasting that a weak economy will make 2020 another challenging year for carriers. Despite very low unemployment and resilient consumer spending, business investment and industrial production will continue to slow, contributing to a further weakening of freight demand in 2020. IHS Markit expects U.S. real gross domestic product (GDP) to grow only by 2.1%, which is 0.2% slower than the estimated 2019 economic growth of 2.3%. In contrast, the tight freight market conditions in 2018 happened while the economy was growing closer to its potential at 2.9%.
This outlook doesn't bode well for strengthening underlying freight demand, and it doesn't offer much hope to carriers looking for a year-over-year reversal for their markets. For supply chain managers, the macroeconomic forecast outlook implies restrained transportation cost increases, limited sales volume growth to manage, and continued tight labor markets.
We expect mostly downside risks to these baseline forecasts, meaning that growth could be lower as a result of an adverse shock. Factors that could potentially impact growth negatively include policy mistakes and/or drops in business and consumer confidence.
Business investment decreases
There is even more to the story that supports our baseline forecasts. In 2019 the pace of business fixed investment grew only by 2.2%, a drop of two-thirds from 2018's strong 6.4% rate of increase. IHS Markit forecasts business fixed investment growth to slow further to a rate of 1.7% in 2020.
The data on specific categories of business investment reveals more about the weakness in 2019 freight demand. (See Figure 1.) The pace of business investment in structures fell into negative territory in 2019, while investment in equipment slowed to nearly flat levels. Investments in intellectual property, which often enhances productivity, slowed the least in 2019. As indicators of freight demand, however, it is the structures and equipment investment categories that matter the most.
The IHS Markit forecasts for 2020 business investment don't offer much hope for carriers. We expect that we are near the bottom of this cycle for equipment and structures investment growth and do not anticipate seeing a recovery until 2021. The relative resilience in intellectual-product investments will help sustain aggregate business investment growth for 2020, however, this category of investment boosts freight demand the least.
Slow growth for manufacturing
The growing weakness in the manufacturing sector in 2019 is observed in the industrial production data, which shows that manufacturing has been hit harder than overall industry output. (See Figure 2.)
During 2018 the strength in U.S. industrial production contributed to strong freight demand. In 2019 this trend has strongly reversed with the consequences for carriers being the difficulty in finding shipments to haul. IHS Markit's forecast for 2020 is for industrial production to begin to recover, averaging a slow, but positive, 0.3% growth for the year. Manufacturing sector production will start to grow slightly faster than overall industrial production. Yet it will be well below the pace reached during 2018.
Freight market implications
With economic growth weakening, will carriers regain their pricing power through disciplined deployment of capacity in 2020? IHS Markit forecasts further slowing in heavy-vehicle sales in 2020, which indicates trucking companies are no longer expecting business growth to support capacity expansions like they made in response to the 2018 levels of demand.
To be sure, truck equipment replacement cycles will continue as an element in annual sales, and low interest rates will continue to make financing costs attractive to financially strong carriers. Yet truck manufacturers are trimming their sales expectations, which is consistent with the manufacturing weakness seen in other sectors as well. Meanwhile railroads are expected to continue to reduce staffing and locomotive power in 2020 in response to the 2019 declines in traffic and the further adoption of Precision Scheduled Railroading practices.
However, despite carriers scaling back capacity (and additional motor carrier bankruptcies), IHS Markit does not expect shippers will face a return to 2018 rate levels. The discipline of carriers in deploying capacity will mostly serve to limit further rate reductions and not create new freight transportation service availability problems for supply chain managers in 2020.
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.
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."
A growing number of organizations are identifying ways to use GenAI to streamline their operations and accelerate innovation, using that new automation and efficiency to cut costs, carry out tasks faster and more accurately, and foster the creation of new products and services for additional revenue streams. That was the conclusion from ISG’s “2024 ISG Provider Lens global Generative AI Services” report.
The most rapid development of enterprise GenAI projects today is happening on text-based applications, primarily due to relatively simple interfaces, rapid ROI, and broad usefulness. Companies have been especially aggressive in implementing chatbots powered by large language models (LLMs), which can provide personalized assistance, customer support, and automated communication on a massive scale, ISG said.
However, most organizations have yet to tap GenAI’s potential for applications based on images, audio, video and data, the report says. Multimodal GenAI is still evolving toward mainstream adoption, but use cases are rapidly emerging, and with ongoing advances in neural networks and deep learning, they are expected to become highly integrated and sophisticated soon.
Future GenAI projects will also be more customized, as the sector sees a major shift from fine-tuning of LLMs to smaller models that serve specific industries, such as healthcare, finance, and manufacturing, ISG says. Enterprises and service providers increasingly recognize that customized, domain-specific AI models offer significant advantages in terms of cost, scalability, and performance. Customized GenAI can also deliver on demands like the need for privacy and security, specialization of tasks, and integration of AI into existing operations.