The COVID-19 pandemic has had some far-reaching impacts on the U.S. supply chains for meat and poultry through the first half of 2020. In addition to short-term shutdowns of processing plants due to high coronavirus infection rates in the workforce, there has also been a shift in consumption away from restaurants and other out-of-home dining to in-home meal preparation through consumer retail channels.
Supply-side hot spots
According to historic data on supply and demand from IHS Markit’s Transearch database of freight traffic activity, counties that had high levels of COVID-19 infection in the local workforce through June process just under 50% of the nation’s supply of protein products. These products include fresh and frozen meat and poultry as well as meat and poultry products. Nearly 15 million tons, or 17% of the truck shipments of these food items, originate in a county where there has been at least one processing plant closure due to the pandemic. Over 25 million tons, or 30% of the trucked volume of these protein products, originate in a county that reported significant levels of COVID infections amongst workers in processing plants. Each of the top 30 meat-producing states have reported plant closures, and these disruptions have flowed through the supply chain into more than 30 consuming states. Significantly, as of the end of June, some of the key southern and western producing states were reporting record overall levels of infection.
It is, however, important to note that there does not seem to be any single comprehensive and detailed tabulation of the workforce virus infection rates and plant closings. Instead we used a wide variety of publicly available resources and published media reports to develop the information used in this analysis. While the federal government and some state agencies maintain some level of pertinent information, the available data lacks sufficient detail and coverage to support a highly detailed analysis. The extent of the disruptions may be higher than this analysis shows, due to the limitations of the available source data and continued new reports of disruptions that are still appearing frequently.
In the first half of the year, at least 240 meatpacking plants, including poultry, had temporary closures, with some facilities shut down more than once. Reports showed more than 25,000 workers who had tested positive, with around 100 deaths. These statistics indicate that the industry represented the third largest “organizational cluster” of infection, exceeded only by correctional facilities and nursing homes. The first reports of problems emerged in March, and the rate accelerated significantly in April and May. As the rate of meat processing plant disruption has abated, however, other types of food processing and farming locations have reported increasing levels of infection and closure, though not yet to the extent seen in this industry.
Production disruptions
There was significant variation by state on the potential impact from plant closings or production slowdowns caused by high worker infection rates. The greatest potential impact was in North Carolina, which produces 6 million tons of annual protein. Nearly 90% of the production in the state originated in counties with high worker infection rates. In Kansas, with just under 3 million tons of trucked shipments, almost 75% of that volume was potentially impacted. Other states where over half of the production was generated in counties with potential interruptions were Texas (over 6 million tons), Nebraska (over 4 million tons), and Minnesota (3.5 million tons).
States with significant production that have much lower levels of possible disruption were Virginia (over 2 million annual truck tons) and Alabama (over 3 million tons). Each of these states had just over 25% of their volume potentially affected. In Iowa (over 7 million tons) and Georgia (over 4 million tons), a little over one-third of the production was generated in impacted counties.
The cited tonnage figures are annual truck shipment volumes of fresh and frozen meat and poultry as well as meat and poultry products. The potential disruption was estimated based on plant closing and high infection rates in the producing counties and is only an indicator of where 2020 production may be impacted, not an estimation of the actual impact levels. This information only addresses shipment volumes and is not a commentary in any way about the potential effects of consumption of these products.
Demand disruptions
The IHS Markit Transearch data tracks annual shipment levels from producing counties to consuming counties. With this market-to-market flow perspective, the impact of production disruption is linked and traceable to the consuming markets. For the protein products under consideration in this analysis, a variety of consumption channels were included. The consuming markets represented the aggregate volume of meat and poultry as well as meat and poultry products that were shipped into consumer channels such as wholesalers, supermarkets, and other retailers. That volume also included industrial consumption by meat processing facilities that produce processed meat products such as sausages, hot dogs, and luncheon meats.
The major consuming states subject to the highest impacts of disruption were North Carolina, Illinois, and Kansas. In North Carolina, 85% of the 4 million annual inbound tons of truck shipments originated in affected counties. Illinois had 80% of the over 3 million inbound tons shipped by truck from disrupted origin counties, and Kansas showed 75% of the 2 million tons delivered from affected production points. Nebraska received over 3 million tons by truck annually, with 70% coming from affected markets. The analysis of the top consuming markets appears in Figure 1.
[Figure 1] Consuming states with highest potential impact Enlarge this image
As the COVID-19 pandemic continues to spread, particularly in some states with significant levels of meatpacking and processing facilities, forecasting the 2020 annual production volumes is extremely challenging. While the individual facility closings are typically of short duration to allow for thorough cleaning, the implementation of enhanced-safety worker protection measures also effects plant productivity levels and ultimately output volumes shipped. The already identifiable impacts of this disruption are spot shortages of certain meat products in some market areas and higher consumer prices.
There have also been changes in distribution patterns. Some major food service providers that previously supplied only institutional and restaurant markets are offering direct-to-consumer sales. For producers, however, the shift from commercial and institutional supply channels to retail and direct-to-consumer remains challenging, as there are different packaging and labeling requirements for each of these consuming sectors. There were also reports of trucks arriving for pickups or deliveries at processing plants, only to learn that the facility was closed.
Frequent communications between carriers and shippers/receivers is even more critical than normal. As the pandemic continues to spread in some market areas, maintaining frequent communications will continue to be crucial, as some shutdowns have and may well continue to occur on short notice.
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."