Top 10 Supply Chain Threats: David Shillingford of Everstream Analytics on supply and component shortages
It’s the rare industry that hasn’t been touched by supply and component shortages these past six months. Everything from semiconductors to paper to can bodies has been in tight supply. Here’s how companies are responding.
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Transcript
About this week's guest
David Shillingford is the chief strategy officer at Everstream Analytics, a supply chain risk analytics company. He specializes in data mining and analytics, business intelligence, risk management, corporate development, crime analytics and loss prevention, and predictive modeling. He is also the founder of Pegasus Bridge, which helps businesses learn lessons from the military.
David Maloney, Editorial Director, CSCMP's Supply Chain Quarterly00:02
The Covid-19 pandemic showed us just how vulnerable supply chains are. Today we face many threats: shipping delays; a lack of workers; failing infrastructure; transportation rates that are out of control; cybersecurity threats; and of course, a worldwide pandemic that is still very much with us. But with each of these threats come opportunities.
Welcome to this limited podcast series from CSCMP's Supply Chain Quarterly, the Top 10 Supply Chain Threats.
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Today, we focus on supply and component shortages. Here is your moderator for this segment, Supply Chain Quarterly's executive editor, Susan Lacefield.
Susan Lacefield, Executive Editor, Supply Chain Quarterly01:13
Hello, and thank you for joining us to the latest episode of 10 threats to supply chains. Today we are speaking on the subject of supply and components shortages, which we are seeing in everything from semiconductors to paper to youth-soccer shin guards. And today we are speaking with David Shillingford, who is the chief strategy officer at Everstream Analytics. David, do you want to explain briefly for our listeners who are not familiar with Everstream what you guys do?
David Shillingford, Chief Strategy Officer, Everstream Analytics 01:43
Sure, yeah, happy to. Great to be here. Everstream Analytics helps companies get visibility to risk across their end-to-end supply chain so that they can plan and execute ahead of and around risk.
Susan Lacefield, Executive Editor, Supply Chain Quarterly01:58
One of the big risks we are seeing right now are supply shortages. What are some of the biggest supply and component shortages that are out there right now or looming on the horizon that our listeners need to be aware of?
David Shillingford, Chief Strategy Officer, Everstream Analytics 02:09
Well, it's, I mean, it's across the board, because a lot of the shortages relate to raw materials and inputs higher up in people's supply chains, so that tends to have an impact on a much wider group of commodities and companies. Where we're seeing disruptions that are more at the component level—chips, semiconductor chips being the obvious example—that's having a bigger impact on downstream manufacturing and ultimately, availability for consumers. So, everything's impacted, but certainly anything with a chip in it at the moment is, is a big challenge.
Susan Lacefield, Executive Editor, Supply Chain Quarterly02:47
Great. So do all these supply shortages have the same root cause? Is it all connected to the pandemic, or are there other factors at here at play?
David Shillingford, Chief Strategy Officer, Everstream Analytics 02:58
So, they are all certainly connected to the pandemic, but there are also other factors at play in every case, and how the pandemic impacts a particular part of somebody's supply chain and what other factors are in play is going to vary a little bit from industry to industry and geography to geography.
Susan Lacefield, Executive Editor, Supply Chain Quarterly03:22
That makes a lot of sense. Are these supply chains shortages that we are seeing, is this a temporary phenomenon are we are in for the long haul here?
David Shillingford, Chief Strategy Officer, Everstream Analytics 03:32
Well, it's a bit of both. There are certainly some things that we see getting better in the near term, but there are other things—logistics capacity is a big debate at the moment as to how that imbalance between supply and demand is or isn't going to get better in the near term. And because of the number of different parts of the logistics supply chain that are impacted, that is likely to go on into 2022—potentially through 2022. Anything that is impacted by the pandemic is going to continue at least through 2022. It should, in most cases, get better, but the pandemic will certainly be still with us in certain respects. And even if the pandemic is well under control, it can take a fairly small outbreak, as we saw at the ports in China to have a very big impact on supply chains. A very, very small number of people were infected, [an] entire port is closed down, third largest in the world. That's a big supply chain disruption, and we'll continue seeing that.
Susan Lacefield, Executive Editor, Supply Chain Quarterly04:43
It was like the butterfly effect...
David Shillingford, Chief Strategy Officer, Everstream Analytics 04:44
Exactly.
Susan Lacefield, Executive Editor, Supply Chain Quarterly04:45
demonstrated live. What are some actions that companies can do? Is there any—do you just have to ride it out, or can you make changes to better handle it?
David Shillingford, Chief Strategy Officer, Everstream Analytics 04:56
I mean, there's certainly an element of riding it out, because there are some things that have happened and it's difficult to change. It takes time to change, things like building up chip manufacturing capacity—that takes time. But there are tons of things that companies can do, and most of them relate to understanding where they can take action. It's very important to work out where action can be taken and where action isn't going to have a big impact on the outcome, and that really has to start with data. And that really falls into two categories. One is data about your supply chain, or your extended supply chain: What is where? What is the situation? And the other side of it is looking at risk, and how risk is today and how risk is changing over time. And it's [in] bringing those two sets of data together that companies who've been doing that for years have clearly had a competitive advantage in the last 18 months. And almost all companies we speak to now are working out how can they do that? How can they get visibility to their end-to-end supply chain—specific assets within it, shipments moving through it—and what risks are there now, and in a week and in a month and in a year, or even five years? A lot of companies are now very concerned about the impact that the climate, and the changing climate is going to have on their supply chains, and it's certainly happening today, and is going to get worse over time.
Susan Lacefield, Executive Editor, Supply Chain Quarterly06:33
Right. And I think one of the things about climate and affecting supply is, it's shifting where these weather events are happening, so it can be you can get a weather event affecting your supply chain in a spot that you were not seeing it previously.
David Shillingford, Chief Strategy Officer, Everstream Analytics 06:47
Yeah, exactly. The volatility we're seeing around climate and, in turn, weather is creating challenges with those types of anomalies, and some of them are "we've never seen this here before." In other cases, we've seen it before, but it's just much more extreme, and there can be a tipping point with certain risks, where something that's bad is survivable or is something that gets over a certain point. And heat is a very good example, whether it's refrigerating a warehouse or a truck, or the safety of a workforce or water availability, if heat is getting, the planet is getting hotter and hotter, that's an existential threat for a lot of a lot of supply chains.
Susan Lacefield, Executive Editor, Supply Chain Quarterly07:36
Yes. Well, David, thank you for meeting with us today. This has been a great discussion, and I hope we meet with you again soon.
David Shillingford, Chief Strategy Officer, Everstream Analytics 07:43
Very good. Thank you very much, Susan. It's great.
David Maloney, Editorial Director, CSCMP's Supply Chain Quarterly07:46
Thank you for joining us for this podcast from CSCMP's Supply Chain Quarterly, the Top 10 Supply Chain Threats. We encourage you to subscribe wherever you get your podcasts.
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."