The recent Coronavirus outbreak has brought to the fore a systemic opportunity and challenge facing the pharmaceutical supply chain: the major role China has come to play in the industry both from the demand and supply sides. As companies respond to the crisis and attempt to move forward, they will need to take time to reconsider what this fact means for their supply chains and how they can improve their resiliency going forward.
Over the past several years, it has become clear that China is a strategic growth market for pharmaceutical companies. The increase in disposable income and improved access to health care in China presents tremendous opportunity for growth. The rapidly shifting age demographic in China is yet another factor. By 2050, 330 million Chinese will be over age 65. In comparison, the number of Chinese over the age of 65 as of 2019 was about 160 million. As a result, pharmaceutical companies are exporting quite a lot of specialty drugs and medical devices to China. A recent study of large pharma companies' earnings shows that the revenues in China grew by 29% as compared to a growth of 8.2% in the U.S. for a comparable period.
At the same time, China is also a major source of supply in the pharmaceutical supply chain. In recent years, China and India have emerged to be big players in the pharma space, especially in the over-the-counter and generic pharmaceutical segments. According to the U.S. Food and Drug Administration, 31% of all the U.S. registered drug chemical facilities are in India or China. Furthermore, just in the last year, China accounted for 95 percent of U.S. imports of ibuprofen, 91 percent of U.S. imports of hydrocortisone, 70 percent of U.S. imports of acetaminophen, 40 to 45 percent of U.S. imports of penicillin, and 40 percent of U.S. imports of heparin, according to Commerce Department data. In all, 80 percent of the U.S. supply of antibiotics are made in China. Even as India rises as an alternate source to China for generic and over-the-counter medications, facilities in the country still depend heavily on Chinese sources for active pharmaceutical ingredients (APIs) and key starting materials (KSMs). All in all, at this point, China has such a high degree of concentration of pharma sourcing, whether it is finished product, APIs, or KSMs, that the current outbreak puts it in the spotlight.
What's on the horizon
Given the above factors, let us examine the short-term impacts and implications of COVID-19 on the industry.
Drug shortages will not be immediate, but they could be significant. Several leading pharmaceutical companies have put out statements assuring their investors and the general public alike that they are well covered in terms of inventories and alternate sources of supply. However, given the industry's level of dependency on China, one has to be skeptical. The pharma industry as a whole does have a sufficient inventory buffer. In fact, the median inventory is about 180 days for the industry as a whole. However, drug manufacturing has long lead times, meaning the effects of the manufacturing shutdowns in China will take time to cycle through the supply chain. If the supply disruptions of APIs or finished products made in China prolong, the effects will be severe. Missed deliveries could be punitive for pharma companies due to penalties by purchasing entities. Additionally, it will be hard for the industry to respond in an agile manner. It is not easy to switch sources of supply in the pharmaceutical industry given its highly regulated nature and the rigorous compliance requirements set by the regulatory bodies. Furthermore, in comparison to other industries, such as fast-moving consumer goods, the pharma industry has only recently started focusing on supply chain management and is not as well equipped to respond to disruptions in supply.
The industry is continuing to see shortages of essential supplies. Demand for face masks (most of which are, coincidentally, sourced from China) and hand sanitizer has significantly increased during the pandemic, and companies have not been able to keep up. Individuals and governments alike are stocking up on these supplies, causing a significant spike in demand. The industry will also need to keep an eye on the logistics and distribution challenges related to fulfilling these demand spikes as transportation capacity has been taken away due to disruptions at the ports, crew quarantines, and labor shortages due to lockdowns. However, as the economies start to open up and lockdowns end, the situation will probably improve.
Supply chains need to plan now for how to support the launch of a vaccine. A few companies are already vigorously working towards developing a vaccine for COVID-19. However, launching a new product is not trivial. The sense of urgency in combating the virus will open doors for fast tracking regulatory approvals. However, to capitalize on the opportunity, the companies working on the treatment should consider the capacity needs and any tradeoffs they need to make in their overall portfolio offerings, as speed to market is critical for a successful launch.
How to respond
In light of the above, what are some actions that pharma executives should focus on? In the short term, the first step should be to quickly find answers to the following questions:
What part of my supply, and how much of it, is coming from China?
What finished products is this supply going into?
What alternate sources do I have to meet the demand?
Answering the above questions will help executives understand and quantify their company's risk exposure. To ensure continuity of supply, companies need to identify alternate sources and then select which suppliers to work with based on landed cost. They should also be aware, however, that as supplies start going on allocation, being the first mover to lock in on the allocation will significantly reduce risks. As pharmaceutical industry veteran Atul Tandon recommends, companies need to make sure that they are rigorous in ensuring that supplies are released per human health and business priority criteria. In exceptional situations, such as the current crisis, constant monitoring for excess consumption and diversions due to customer hoarding is key so you can take mitigating actions in a timely manner. One action, for example, is to compare current consumption with historical needs. Even after accounting for COVID-19 stockpiling, the consumption patterns from the past can help indicate where there is excess consumption. Diversion can be caused by players buying products to sell in secondary markets. Government crackdowns can help to an extent, and in exceptional situations, public-private enterprise can should collaborate with public entities to ensure better allocation of supply.
For most companies, answering the aforementioned questions is not a trivial matter. Given the complexity in the pharma industry, analytics are essential for organizations to assess risks. However, most companies' technological capabilities are anchored upon enterprise resource planning (ERP) and other planning systems that are simply not equipped to help enable resilient supply chains of the future. In the intermediate to longer term, companies will need to look to advanced algorithms powered by artificial intelligence to help them better design their supply chains in order to build resiliency and monitor for risks.
In addition, as mentioned before, source switching can be expensive in pharma, both in terms of cost and time. Companies should evaluate their supply networks for single points of failure and build redundancies into the system by identifying alternate sources. While building redundancies can come with increased costs, the downside of not having the protection when you need it can be very expensive. Designing resiliency into the supply chain should also incorporate placing inventory at the right nodes of the network. This does not mean increasing a company's working capital. It is about rightsizing the inventory in consideration of risk and resiliency.
The coronavirus impact on the pharma industry as a whole can be significant if the uncertainty persists. This is yet another reminder for the need to factor risk and resiliency into designing the supply networks.
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."