It is clear that the spread of COVID-19 and the global measures to combat it will be the defining story of 2020. In addition to its terrible health and human toll, the virus has caused widespread disruption to global supply chains, paralyzed industries such as travel and live entertainment, and plunged the global economy into a sudden recession. It has even reached into our homes, changing the way we work, learn, socialize, and shop.
Yet the evolution of the pandemic looks radically different than it would have even one or two decades ago. While the interconnected nature of global trade has helped to slash the proportion of the world population living in extreme poverty by nearly two-thirds in the last 20 years, it also allowed the virus to spread faster than it would have in a less connected time. Meanwhile, readily available internet access has made it far easier to adapt our lives and livelihoods to the realities of stay-at-home orders than it would have been before internet was seen as a household staple.
Retail apocalypse redux
As of April 20, 2020, more than 315 million Americans were under some form of stay-at-home order or advisory. Amid widespread closures of storefronts for “nonessential” goods and services, U.S. retail sales in April tumbled a record 16.4% on top of an 8.3% decline in March, according to the U.S. Census Bureau. The effects of the business closures and social distancing related to COVID‑19 were clearly visible in the details, which were sobering—but not surprising. Most categories of sales plunged at unprecedented rates. Sales at clothing and accessories stores essentially stopped short, falling 89% relative to April a year before. Sales at electronics and appliance stores were down 65% versus last year, furniture and home furnishings sellers saw sales plunge 67%, and restaurants and bars did 49% less business than in April 2019. Even sales at “essential” health and personal care stores were down 10%. Modest positive offsets at food and beverage stores, which gained 12% relative to a year ago, paled in comparison to these calamitous declines.
Between the mandated closures of storefronts and consumers’ new social-distancing habits—which are likely to continue for a while longer—brick-and-mortar retailers have been particularly vulnerable to the crisis. Surveys show that consumer behavior may change for an extended period. According to an April 10 report by the polling firm Morning Consult, 20% of consumers say that it will be more than six months before they feel comfortable going out to eat, and 24% say it will be more than six months before they feel comfortable going to a shopping mall. Another poll, The Capgemini Research Institute’s Consumer Behavior Survey, found that 39% of global consumers expect a high level of interaction with physical stores in the next six to nine months—a decrease of 20 percentage points from 59% before COVID-19.
Even after initial stay-at-home orders lift, there may be localized flare-ups in the next year during which additional two- or three-week mandated social distancing periods might become necessary. The psychological scars from COVID-19 could suppress some types of consumer spending for years to come if the “fear factor” is not controlled by the development of a vaccine or other medical treatments. In IHS Markit’s May baseline forecast, we expect retail sales to decline 13.2% over the course of 2020 (fourth quarter over fourth quarter), much more than consumer spending as a whole (which is forecast to decline 8.0%).
Joining the e-commerce party
Even though they can’t go out, today’s consumers are going online. In April, retail sales at nonstore (mostly online) retailers jumped 8.4%, even as total retail spending fell. Sales via this channel were up 22% over the last 12 months. The Capgemini survey found that 37% of respondents reported having high levels of interaction with online channels since COVID-19, a 7 percentage-point increase.
The trend of retail sales shifting online from brick-and-mortar establishments is hardly new. E-commerce retail sales were already growing at a breakneck 16.7% pace in the fourth quarter of 2019 relative to a year earlier. (See Figure 1.) It is true that around the end of 2019 the monthly pattern of sales at electronic shopping and mail-order stores gave the impression that e-commerce had briefly plateaued after a gangbuster summer. However, the pattern of a strong middle of the year for online sales followed by a slower-growing autumn is more reflective of a shift in sales earlier into the year due to influences like Amazon’s Prime Day in July.
In some ways, retail is late to the e-commerce party. As we previously described in the **italics{CSCMP’s Supply Chain Quarterly} Q2/2018 issue, business-to-business (B2B) e-commerce has historically accounted for the vast majority of total e-commerce sales. Due to the use of electronic data interchange (EDI) networks in the 1970s and 1980s, the B2B world had a considerable head start in terms of e-commerce infrastructure. Originally used in the transportation and shipping industries, EDI saw greater adoption by other industries in the mid-1970s thanks to the implementation of industry standards and the publication of the file transfer protocol (FTP) in 1973, which allowed file transfers between internet sites. By 1991, the year the federal government opened up the internet for commercial use, nearly 12,000 companies were using EDI. In 2003, approximately 21.0% of manufacturing sales and 14.6% of wholesale sales in the United States—the vast majority of which constitute B2B trade—were conducted via e-commerce. By 2017, the last year for which these sector-level figures are available, they had risen to a 67% share for manufacturing sales and 32% for wholesale—versus only 9% for retail trade. (See Figure 2.)
The crisis, however, is giving retailers no choice but to catch up. Many consumers who might have been late (or never) adopters are being forced online for the first time, and some of the shift in consumer shopping habits is bound to stick as new online shoppers come to appreciate its convenience. It is not just the demand side that will shift; the distribution of retail businesses will also increasingly favor those more geared toward online sales. When the dust settles on the COVID-19 pandemic, there may be fewer retailers left standing overall. Although many traditionally physical retailers have done a good job marrying their online and brick-and-mortar operations, some are already considering declaring bankruptcy because they will be unable to survive an extended period of closure. A robust web presence is one recourse for retailers, and COVID-19 is giving an advantage to businesses with a strong online operation.
In short, we expect the pandemic to accelerate trends toward online retail shopping that were already in place. To adapt to the extraordinary realities of the pandemic, more retailers are experimenting with novel business models, such as buy online for in-store or curbside pickup. Stores, including grocery, might change their physical footprint to have less consumer-facing space and more of a warehouse-like layout, where workers or machines can quickly build virtual shopping carts for delivery.
As of the fourth quarter of 2019, e-commerce retail sales represented 20.7% of total retail sales excluding food, gas, and autos. IHS Markit is forecasting that share to jump to 23.1% in the second quarter, up 1.2 percentage points over the previous quarter, which would be the largest such increase on record. By mid-2021, we expect one quarter of retail sales excluding food, gas, and autos to be conducted online. The accelerated transition of retail trade to the online channel (Figure 3) won’t be the most earth-shaking change to come out of the COVID-19 era—but it will certainly hit close to home.
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."