Just as every team fumbles the ball sometimes, every supply chain gets disrupted at one point or another. The trick is to be prepared beforehand so that you know how to respond. This preparation will not only help you get back up and running faster but may also lead to a competitive advantage.
Whether it is football, soccer, or hockey, successful teams know how to respond not only when the game is going well but also when play has been disrupted. No team knows where, when, or how a fumble, interception, or turnover will happen, but managing these disruptions must be part of its game plan.
Similarly, in the business world, we cannot fully predict when a disruption—such as a natural disaster, a labor strike, or a failed trade agreement—will occur, but we need to have an effective supply chain risk management plan for responding to it. Without a clear plan and strategy, these risks can overwhelm our operations.
[Figure 2] Elements of a supply chain risk management (SCRM) planEnlarge this image
Every team then—whether on the playing field or in the market place—should have considered possible disruptive scenarios and have practiced plays to respond to them. A hurricane, fire, labor strike, or failed trade agreement may be incredibly more disastrous than poor aim with a ball, but it is no less expected and should be prepared for.
When one team is not prepared for a disruption and the other team is, it increases the other team's competitive advantage. Those that have practiced plays at the ready are more likely to respond quickly to a disruption and come out ahead, whether that involves recovering the ball, regaining control of the puck, or getting operations back in order before losing any customers.
In fact, the best teams will use these plays not just as defensive maneuvers but as potentially offensive ones as well. They will look not just at how to recover from a disruption but how to best take advantage of it as well. In American football, this shows up as an interception returned for a touchdown. In hockey or soccer, it is a breakaway chance made possible by an intercepted pass. In the business world, it can come from winning new customers because you are the first company back up and ready to respond to their needs. In every game, the competition's mistakes present golden opportunities for offensive success.
In other words, supply chain risk management should involve preparing not just a defensive strategy for responding to unforeseen disasters but also an offensive strategy for how to capitalize when competitors fumble their response. A resilient supply chain will not only keep you running while the competition is down, it will also help you ramp up growth when the competition is weakest. To prepare for the fumble, supply chain managers will need to create an effective supply chain risk management plan that clearly lays out their overall strategy, spells out the response plans for different risks, and empowers people to respond effectively.
Manage risks, not threats
The trick to preparing for the fumble, however, is to focus on "risk management" and not get bogged down in "threat management." A supply chain threat is a specific disruption, such as Hurricane Alfonso, the tornado spotted the next county over, or an increase in the price of steel. There are an unlimited number of individual supply chain threats at any given time. If a supply chain risk manager tried to focus on threat management, he or she would end up facing a complex math problem with dozens (or hundreds) of variables. It would be like a coach trying to create a play to counter every single play the opponent can dream up.
A supply chain risk, in contrast, is the impact that the threat could have on the company's strategy, operations, physical infrastructure, and/or finances. For example, a risk is the destruction of a store, a reduction in the supply of a critical material, or a transaction failure, to name just a few. Unlike threats, risks are not specific, they are essentially categories of disruption impacts that can be prioritized and managed. By focusing on the impact of the threats, instead of the threats themselves, we change the math to a limited number of variables and can come up with plays to counter our opponents' ability to gain an advantage. These plays can fit in an operations playbook that our team can understand and employ.
This concept is illustrated by Figure 1. Here the blue parts of the circle show the unlimited number of threats that a supply chain can face. To create a targeted supply chain risk management plan, a company needs to focus on the limited number of risks (or threat impacts) shown around the outside of the circle.
Once they have identified what risks a threat poses, organizations can respond to the threat based on how it will impact their organization. This categorization methodology allows the company to target its efforts at the impact point and build mitigation strategies around the limited number of disruptions for that given impact point.
For example, a construction supplier in central Pennsylvania recognized that all its suppliers for one of its key materials, steel, were based overseas. Instead of worrying about every threat from foul weather to fuel prices to international politics, they focused on mitigating the operational risk of a lack of affordable steel. This enabled them to create multiple mitigation strategies, such as warming up additional suppliers and increasing buffer stock. The firm's supply chain risk management (SCRM) plan employed a clear strategy for supply chain resiliency with a process for categorizing, prioritizing, and mitigating risks, and empowering its people to respond effectively.
The three elements of SCRM
A mitigation plan that focuses on risks instead of threats requires consistency and vigilance. It needs to be rooted in a common view of the supply chain and a common approach to the identifying and responding to risks. It will also require the persistent monitoring of possible threats, effective execution of an appropriate response, and continual re-planning and review of thepossible responses.
To accomplish all this, an SCRM plan will address the following elements: strategy and architecture, execution approach, and training and development (see Figure 2). If a company wants to be able to use its SCRM program as a competitive weapon and gain market share, then it needs to make sure that this goal is infused into all three of these elements. Let's look at each element in turn.
Strategy and architecture: A firm's SCRM strategy should clearly document the purpose of its supply chain risk management efforts. Some companies' SCRM strategies will focus on defending market share, others will focus on expanding market share. Either way, the reason for the risk management efforts should be easy to understand and clearly communicated to all supply chain professionals in the organization.
The SCRM strategy must also define how the firm categorizes and prioritizes risk. To be effective, SCRM will need to prioritize the largest vulnerabilities across every link in the supply chain from raw material to warrantied returns. For a company that is offensively minded, that prioritization process may also consider what risks competitors may be overlooking that can then be seized upon to gain a competitive advantage. The strategy should also explain the tolerance the firm has for specific types of risk. For example, fast-growing firms typically have a higher tolerance for operational risk, while more established firms will have a lower tolerance for operational risk.
The architecture part of this element involves clearly defining the firm's supply chain (including processes, practices, stakeholders, and technology) and identifying which roles are responsible and accountable for which risks. It will also enable and incentivize those roles to effectively manage the risks.
Execution approach: There are many models that companies can use to guide their risk management response efforts. These may range from the ISO 31000 standard to a model developed internally for a specific firm. The important thing is to choose one that begins with risk analysis/prioritization, enables rapid response, and involves continual communication. Without any one of the parts of this trifecta, a risk response model will fail.
Typically, these models begin with a continuous risk analysis process. The process involves taking data from the field, the market, and anywhere else that is appropriate and looking for trends or forecasted events that could cause a fumble within the supply chain. As those risks are identified and mitigation strategies developed, the opportunity to use those disruptions to gain market share will present themselves. The key is planning not only for what is needed to maintain standard operations but also for what is needed to gain market share. Taking this extra step to gain market share requires knowing the competitive landscape and the market share of the product or service at risk. That knowledge allows the team to create offensive plans as soon as the disruption occurs and take advantage of any weakening in competitors' customer fulfillment efforts.
When a threat appears and disruption occurs, these response plans will guide field managers' efforts and point them to corporate resources for support. The operations team will work the defensive angle of the response plan, securing the company's supply lines. Meanwhile, the sales team will be monitoring how those risks are impacting competitors and what changes to the defensive position could allow their team to pick up a fumble.
During and after the response efforts, the company should track the impacts and effects of the response and record the lessons learned. The result of this analysis will be used to revise response plans.
To be successful, the company's execution approach needs to have a rapid planning cycle that informs the leadership of what market share is up for grabs and whether it is best to take it or support the competitor in more of a "coopetition" play (for example, through sharing warehousing space should a partner's warehouse be down due to damage from a major storm).
Personnel training and development: The supply chain staff is the heart and soul of SCRM. That's because they are the firm's eyes and ears in the field. The success of an SCRM plan depends on their ability to recognize a disruption, predict its impact, and infer the market implications. Training and development on these skills are essential because these actions must be second nature to them.
Many firms simply rely on standard operation procedures or continuation of operations plans for SCRM. Both of these are effective tools, but only when the staff is trained and practiced in their use. Your staff must be empowered with the knowledge necessary to act effectively and safely on the firm's behalf. To be able to do so, they need to know how to use internal resources and work with emergency responders and supply chain partners. Furthermore, they should understand not just the risks but also the opportunities created by a disruption.
An offensive defense
Obviously, an effective supply chain risk management program will help bring greater stability to any organization by improving the chances that it will able to respond to both anticipated and unforeseen threats. But a good SCRM program can do so much more than that; it can also help pave the way for growth.
Consider the case of a provider of spare parts for emergency vehicles that is located in central Oklahoma. The provider identified delays in receiving inventory as a key risk. In response, it built out a strategic amount of buffer stock, spread throughout the distribution infrastructure in the region. Its competitors did not. When a storm hit the region, its underprepared competitor rushed its operations back online without having enough supplies to sustain sales. This allowed the prepared supplier to not only win market share but also keep it when the customers returned to their "old faithful" suppliers to find them open but not able to provide the parts required.
Another example can be seen in the previously mentioned construction supplier in central Pennsylvania. The company began its work in SCRM about five to six years ago and identified a disruption to the timely and affordable supply of steel as a key risk to the firm. In response, it constructed mitigation plans for any disruption in supply or price. These plans included diversifying suppliers, identifying alternate transportation plans, and creating local buffer stock.
When the Trump administration announced tariffs on steel, the company enacted its mitigation plan. The firm knew no number of alternative suppliers or alternate transportation routes could affect the impact of the tariffs, only a bulk buy before any tariff was put into place could help. The company did a cost-benefit analysis that factored in the price of storing the extra steel, and it was able to see that it would be able to sell its products at a discounted rate (from their competitors) if the price of steel passed a certain point. Before making the buy, however, the company conducted another round of risk planning that looked at what would be the impact if the tariff didn't occur and the company had its funds tied up in an extra supply of steel. While this potential risk helped temper the buy somewhat, the company believed that it would most likely be able to move the material no matter what. They also determined that the risk of the price greatly dropping after the buy was remote. The firm then executed a purchase of one year's worth of steel, which equaled enough to fill multiple train cars.
Fortunately for the firm, the tariffs did have a significant impact on steel prices, and the company's risk plans allowed it to offer a lower price than its competitors because it had bought the steel and stored it for less than the current market price of steel. Stockpiling steel also allowed the company to fulfill large orders once its customers began bulk buying (four months later).
Forcing the fumble
Some sports teams and organizations go beyond preparing for the fumble to making it more likely for a fumble to happen. Think about a forecheck in hockey, which is a defensive play made in the offensive zone with the objective of applying pressure on the opposing team to regain control of the puck. An aggressive forecheck in hockey creates a lot of turnover opportunities close to the opponent's goal. In many of the world's best defenses, creating chances for disruptions is a vital piece of strategy.
It's important to note that there's a difference between taking advantage (or even forcing) your competitors' fumbles and engaging in price gouging or predatory practices. Predatory practices are illegal and unethical and generally require acts of fraud, misrepresentation, or oppressive practices committed by businesses against consumers or other businesses. Planning for a disruption and investing in products/services that could be beneficial should a disruption occur is nowhere near the definition of unfair practices. Because of the investments made, based on sound planning, prepared companies are able to offer products at market value. Unprepared competitors, however, are typically in a predicament that requires them to price at a premium.
No team wants to drop the ball. But every team does. It's the team that prepares for those disruptions and then executes its plan well that wins. Whether it's in response to a political or weather-related disruption, an effective SCRM plan secures a company's operations and increases its competitive advantage during the bad times. By preparing for the fumble, firms can turn their overhead costs of continuing operations into a pre-sales investment.
Benefits for Amazon's customers--who include marketplace retailers and logistics services customers, as well as companies who use its Amazon Web Services (AWS) platform and the e-commerce shoppers who buy goods on the website--will include generative AI (Gen AI) solutions that offer real-world value, the company said.
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."