Three years after the official end of the Great Recession in June 2009, U.S. companies are still proceeding with caution. The economy's comparatively anemic growth has made them wary of ramping up production or making significant investments, and they're keeping inventory levels lean.
Sales up, but for how long?
This caution remains even though sales in several categories are up (see Figure 1). Retail sales (adjusted for inflation) have surpassed their pre-recession peak, and wholesalers are within striking range of surpassing their own pre-recession mark. Furthermore, while manufacturing sales are still 13 percent below their pre-recession peak, they are well above the low point seen in 2009.
Article Figures
[Figure 1] U.S. sales adjusted for inflation (billions of 2005 chained dollars)Enlarge this image
[Figure 3] U.S. inventory adjusted for inflation (billions of 2005 chained dollars)Enlarge this image
Companies are uncertain about how strong sales growth will continue to be. The manufacturing recovery has been assisted by relatively strong exports to emerging market economies—namely Brazil, India, and China—and a weak dollar. But recent banking and economic problems in the so-called "Club Med" countries (Greece, Italy, Portugal, and Spain) and their wider implications for the euro zone have temporarily strengthened the U.S. dollar. Additionally, in recent months there has been a noticeable slowdown in the economies of China, India, and Brazil (although growth there is still considered very robust by European and North American standards). Both of these developments could slow the growth in U.S. exports.
On the retail side, meanwhile, several indicators point to considerable weakness over the longer term. For one thing, consumers are not spending like they used to, so many chain stores are fighting for market share via price discounting. For another, consumers are spending at the current levels not because they are earning more money but because they are saving less and are using that money for necessities—a classic indicator of weak sales growth. In addition, online retailers are starting to make a dent in the bricks-and-mortar business model. In the first quarter of 2012, seasonally adjusted e-commerce retail sales as a percentage of total retail trade in the United States hit a new high of 4.9 percent. IHS Global Insight projects U.S. e-commerce retail sales will increase by about 17 percent during 2012 to reach around $230 billion for the year.
Overall consumer demand is unlikely to improve in the short term. Many U.S. households are in a fragile state. Poverty rates and income inequality are up while median household income adjusted for inflation is down. Part of the reason for this is that recent job gains have not been sufficient to substantially reduce the unemployment rate. In essence, the economy is caught in a paradox: Companies won't hire more employees until they are confident that there will be sustained growth in consumer demand, yet demand won't pick up until consumers are confident that job prospects are improving and wages are growing.
It's no surprise, then, that consumers' mood—as measured by both the Conference Board's Consumer Confidence Index and the Thomson Reuters/University of Michigan consumer sentiment index—hasn't improved much even though the recession ended three years ago. Likewise, the National Federation of Independent Business' Index of Small Business Optimism is also at a depressed level.
The upshot of all this is that companies are hanging onto the cash they have on hand. Corporate cash holdings are approximately 11.5 percent of U.S. gross domestic product (GDP), or $1.7 trillion. This is partly because there is significant uncertainty on the geopolitical, financial, and economic fronts. For that reason, many large corporations are maintaining a wait-and-see approach when it comes to meaningful investments in plants or factory lines.
The news is not all negative, however. One bright spot in recent quarters has been light vehicle sales, due to the release of pent-up demand and the easing of the auto supply chain disruptions caused by the March 2011 earthquake in Japan. During the Great Recession, many U.S. consumers held onto their cars longer, causing demand to build up. Accordingly, IHS Global Insight projects that light vehicle sales will grow steadily to reach just under 16 million units by the end of 2014, about the same as on the eve of the recession.
Impact on inventories
Companies are keeping inventories lean in this current economic environment because they do not want to be left with unsold goods, which would force them to discount even further. The inventory-to-sales ratio for wholesalers has been flat, declining for retailers, and growing for manufacturers (see Figure 2).
The retail inventory-to-sales ratio in particular has been plummeting in recent years because of a combination of increasing consumer imports from China, weak consumer demand, technological advancements, and e-commerce retail sales. Additionally, retailers do not want to hold excessive inventories during a period of uncertainty, so they have been keeping inventories ultra-thin. We expect the retail inventory-to-sales ratio to continue to remain depressed.
Nevertheless, retail inventories overall are expected to continue to trend upward, although growth will look very sluggish if one removes auto dealerships from the picture (see Figure 3). We do not expect retail inventories to surpass their pre-recession peak before 2015.
Manufacturing inventory levels have bounced back as manufacturers recovered in the last half of 2011 from the supply chain disruptions caused by the Japanese earthquake. Wholesale inventories benefit from manufacturing and retail inventories, and therefore have just surpassed their pre-recession peak. However, they should grow at a slower pace in 2012, mirroring conditions in retail and manufacturing. Expectations for manufacturing inventories, meanwhile, are stronger than for wholesalers; however, the recent global slowdown has introduced serious risks to the overall outlook.
In this current economic environment, supply chain managers must be able to respond in a timely manner to sudden shifts in sales. Keeping lean inventories assists on the downside risks, however a surge in demand or supply chain disruptions will create substantial shortages and bottlenecks. In these circumstances a little extra inventory would be beneficial.
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."