Consumer spending makes up nearly 70 percent of U.S.gross domestic product (GDP) and plays a major role in driving the American economy. Trends in consumer behavior therefore matter for most supply chain managers. So, how is the U.S. consumer sector doing?
For the last several years, consumer spending has been the engine that has kept the American economy growing. Between 2014 and 2017, annual growthin inflation-adjusted (real) consumer spending outpaced growth of broader gross domestic product by an average of more than seven-tenths of a percentage point. That dynamic has shifted in 2018, and over the first half of the year, it was real GDP that took the pole position. But this reversal didn't come from a marked slowdown on the consumers' part. After a surge in spending during the fourth quarter of last year, during which a very strong holiday season ushered in a 3.9-percent annualized rate of real consumer spending growth, consumers took a breather in the first quarter of this year, then sprang back into action with a 3.8-percent growth rate in the second.
Surveys of consumer opinion reveal exceptionally positive views on the economy. The Conference Board's Consumer Confidence Index jumped in September to its highest level since September2000, while the mid-October reading of the University of Michigan's measure of consumer sentiment also remained elevated. Measures of consumers' views on whether it is a good time to buy big-ticket items like cars and large appliances are also fairly high.
What is driving this optimism? A very strong jobs picture has also been a major factor. The labor market has been steadily improving during what is now the second-longest economic expansion in American history, and it is unusually "tight"—companies are reporting a high demand for workers, and it is easier to get a job right now than usual. The rate of headline unemployment—or the number of people who officially say they do not have a job and are looking for work—was 3.7 percent in September, the lowest level in the last 48 years. Additionally, the number of available job openings has been greater than the number of Americans looking for work since this March. (See Figure 1.)
This tightness in the job market is pulling workers who had previously been discouraged in their job searches off the sidelines. The U.S. Bureau of Labor Statistics' "U6" measure of unemployment, which includes discouraged workers and those who are part-time but would prefer to be full-time, was 7.5 percent in September, 0.1 point from the lowest since April 2001. And the proportion of "prime-aged" (25-54) workers who are participating in the labor force—either by working or by looking for work—has been on an upswing since late 2015.
When businesses can't get the workers they need, they often raise wages to make their available positions more attractive or to hold on to the talent they do have. This pressure is finally producing an uptick in aggregate wage growth. Average hourly earnings of all employees of private businesses grew 2.8 percent versus the year before in the third quarter, while the U.S. Employment Cost Index for wages and salaries in the second quarter was up 3.0 percent; these readings were both the fastest year-on-year growth rates since the Great Recession. On top of that, the Tax Cuts and Jobs Act of 2017 put some extra cash in workers' pockets as a result of lower tax withholdings. In short, real disposable income is on the rise. In addition, total household net worth has risen strongly in recent years, thanks to growing home and equity prices, and surged past its pre-recession peak in 2012. The result is that American consumers are feeling wealthier—a plus for consumer spending and retail sales.
We have also not yet seen the kind of risky spending behavior that marked the period leading up to the Great Recession. The ratio of household debt payments to disposable income in the US (the "financial obligations ratio") has only seen a gradual increase since 2014 and remains substantially beneath its pre-recession high. The same goes for the total amount of inflation-adjusted debt carried by the average household. Indeed, this adjusted debt total declined in the first half of 2018. And, as revealed by new data in July, Americans' rate of personal saving has been steady since 2013, holding at a level higher than it was for most of the period since the late 1990s. Consumers are putting more aside for a rainy day than previously thought.
Certainly, there are features of today's consumer economy that could foretell trouble ahead. One wildcard remains the Trump administration's still-escalating tariffs. In addition to disrupting supply chains, ramped-up tariffs on imported goods typically translate into higher prices, cutting into purchasing power. Such price spikes have already become evident for certain types of goods, including washing machines, which were targeted with tariffs in January. Another area of concern is outstanding student loan and auto loan debt, which in the second quarter was upmore than 75 percent since the end of the recession. Such rapid borrowing growth warrants caution.
However, all things considered, the U.S. consumer sector's many strengths are supportive of continued robust spending and lend it the resilience to weather shocks. In order to keep up with the consumer demand that IHS Markit anticipates, businesses will have to rebuild their inventory stocks in the coming quarters.
An inconsistent recovery
In aggregate, things are looking good for the American consumer. However, the gains from the recovery have been distributed unevenly with some sectors of the population recovering faster than others.
As recorded in the U.S. Census's "Income and Poverty in the United States" report, which was released this September, median real household income grew for the third straight year in 2017, ramping up 1.8 percent. But not everyone has enjoyed an equal share of these income gains. By 2013, only the top 5 percent of households had recovered the same level of average income they had enjoyed in 2008. By 2015, growth of average household income for the top 80 percent of households had risen past the zero mark, but those in the top 20 percent were still far ahead. Even in 2017, the bottom 20 percent of households were still slightly underwater compared to 2008. This imbalance between households at the upper end of the income distribution and households on the lower end worsened in 2016, when the top 5 percent of households saw the fastest relative growth among all the income cohorts. (See Figure 2.)
When looking at household net worth instead of income, the difference is even starker. Median real household net worth in 2016 was still more than 30 percent beneath its level in 2000, thanks to the fact that real estate assets and equities, whose price growth has far outpaced wage growth, tend to be held by wealthier households.
However, there are signs that the wealth is beginning to spread. In 2017, growth of the average income of households in the 20th to 40th percentile outpaced the highest earners. In addition, the usual weekly earnings of full-time and salary workers in the 10th percentile—those near the very bottom—grew faster than any of the cohorts above them in seven of the last eight quarters.
In sum, the evidence is clear that the recovery since the Great Recession has favored wealthier households—but this imbalance has shown signs of easing since 2017, likely thanks to the tight labor market. This broadening of the recovery has implications for the distribution of goods that are sold. Luxury retailers and discount stores have been doing well to date, but now businesses offering goods and services aimed at the middle class are likely to gain some more traction.
What's ahead?
Given the healthy positioning of U.S. consumers, the retail sales outlook for the holiday season is strong. Real consumer spending is currently on track to score a respectable 2.6 percent growth rate in 2018, according to IHS Markit's latest forecast. We forecast total retail sales and food services to grow 5.2 percent in 2018. Holiday retail sales1 grew 5.3 percent in 2017 over the year before, which was the best year since 2005; we currently forecast continued strength this year with 4.7-percent growth.
Not all categories of consumer spending will do equally well. Auto sales have been a driving force for consumer spending in recent years, powered by pent-up demand after the Great Recession. This dynamic has now mostly played itself out, freeing up dollars for consumers to spend on other goods and services, which will see a boost. The pace of auto sales over the next three months will be below the levels of a year earlier; we forecast retail sales at motor vehicle and parts dealers to fall at a 3.0-percent annualized rate in the fourth quarter, down from a 0.3-percent growth rate in the third. Tariffs also threaten to do damage to sales of automobiles and other durable goods in the medium term.
While solid consumer fundamentals are a tailwind for all retailers, those with a prominent online presence are on track to capture a larger share of consumer spending going forward, including during this holiday season. Nonstore retailers' sales were up 11.4 percent year-on-year in September and are expected to maintain comparable or higher rates for the next two years. The relentless growth of the e-commerce sales channel has given brick-and-mortar establishments serious headaches; retail store closings hit a record in 2017 and are on pace to surpass it again this year. E-commerce as a share of retail sales excluding gasoline, auto dealers, food and beverages, and food services reached an all-time high of 17.5 percent in the second quarter, and we expect this to surpass the 20 percent mark by mid-2020. After growth of 11.4 percent in 2017, we forecast online holiday sales to grow 12.0 percent this year.2
In sum, U.S. consumers are in a strong position, bolstered by a tight labor market, the benefits of which are gradually spreading across all income levels. This means that supply chain managers should expect to see robust purchasing activity going forward, which is forcing retailers to bolster their stocks of inventories—even as an increasing proportion of these inventories flow to nonstore merchants.
Notes:
1. IHS Markit defines holiday retail sales as not-seasonally-adjusted November plus December retail sales excluding autos, gas, and food services.
2. Online holiday sales are defined as not-seasonally adjusted November plus December electronic shopping and mail-order retail sales.
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."