For many companies, supply chain excellence has long meant developing the most cost-effective way to deliver a product on time to your customers. While detailed modeling and analysis are often completed to design these “optimal” supply chains, it has usually only been done for a relatively narrow range of supply and demand variability options. When the COVID-19 pandemic hit, many businesses learned the hard way how this tight focus limited their abilities to cope with a sudden shock to their supply chains. The pandemic has proven that the definition of supply chain excellence must be expanded beyond cost effectiveness and on-time performance to also consider supply chain resilience.
A resilient supply chain maximizes an enterprise’s ability to produce and move goods when business is booming while also avoiding potential disruptions by sensing and pivoting in response to changing conditions and unforeseeable variables. It senses when conditions and demands vary from the anticipated in real time. It pivots to nimbly change course in response to the unexpected. Further, a resilient supply chain will also use advanced technologies like artificial intelligence (AI) to push relevant data to people trained to interpret and act on the information thus reducing, or perhaps even eliminating, the impact of potentially calamitous supply chain shocks.
Companies need to evaluate how resilient their supply chains are in order to determine their strengths and vulnerabilities in light of unanticipated shifts and future crises. These evaluations or “stress tests” would resemble the banking stress tests that came into being due to the Great Recession and shifted banks’ focus away from short-term profit toward the long-term resiliency. These risk management exercises have helped the banking industry weather the current pandemic much better than it did the global financial crisis of 2008–2009.
The supply chain version of these stress tests would feed into the development of a plan that sets the course for improving supply chain resilience, with an emphasis on the flexibility needed in the uncertain times ahead. These stress tests would examine supply chain resiliency along a number of different dimensions, including geography, planning, suppliers, distribution, manufacturing, product portfolio/platforms, and financial/working capital. Let’s take a closer look at some of these key dimensions.
Planning
Our recent experiences of companies we have “stress tested” in two interconnected industries, consumer packaged goods (CPG) and retail, have shown that resilience can be particularly challenging to achieve in planning. Planning that occurs at an accelerated pace and utilizes advanced technology can help companies navigate shocks to the supply chain. Most CPG companies, however, struggle to switch to accelerated planning (moving from monthly to weekly or daily planning), with nearly half being unable to do so for more than 40% of their total sales. They also are underleveraging technology for their planning efforts; only one in six use demand-sensing technologies or analytical tools for more than half of their sales. Retailers, too, have shown limited capabilities to switch to accelerated planning and are similarly challenged by underutilization of technology and tools.
Suppliers
Retailers and CPG companies also face similar difficulties in working with their suppliers. For example, having alternative sources of supply can help improve resiliency. By prequalifying possible alternative manufacturing providers, CPG companies could ramp up manufacturing in alternative locations during unexpected shocks or disruptions. However, the majority of CPG companies have prequalified alternative manufacturing contracts for less than 20% of their core stock-keeping units (SKUs). For their part, many retailers have constrained their ability to be resilient by depending on a small pool of suppliers for the majority of a given category’s spend.
Supply chain resiliency can also be improved by increasing insight and visibility into downstream supply chain partners. While retailers have strong outbound logistics networks, they lack visibility and control of their inbound transportation networks—a group that includes their CPG partners! Both retailers and CPG companies have very limited visibility into their second-tier suppliers, which leaves CPG companies relatively blind to potential raw material disruptions and component shortages.
The high-tech industry also faces constraints in the supplier dimension that inhibit its resiliency. Companies in the high-tech industry face a somewhat unique supply chain challenge because most of their products are designed around a specific processor. Processors cannot be easily substituted once designed into a product, and since a design is typically employed for two to five years, supply chain redundancy alternatives will be limited. Fortunately, extensive effort is put into ensuring processor supply chain disruptions rarely occur (outside of instances of governmental intervention). Yet the threat of catastrophic supply interruption is real, as companies worldwide have shifted their manufacturing to China—initially for cost reasons, and now because of the vast high-tech ecosystem that has been developed there.
Accentuating the risk posed by the single-country component ecosystem for the high-tech industry is the prevalence of contract manufacturing, which has become standard practice in the high-tech industry. Now, most high-tech companies lack visibility into the base of component suppliers. Even those high-tech companies that source key components themselves rarely focus on components beyond the top 20 or so of their bill of materials. Instead they rely upon their manufacturing partners to manage that portion of spend and any supply visibility and/or delivery challenges that may exist. This creates a major risk not only for the company but also for the entire industry. Increasingly, it will also create risks for the many other industries that rely upon high-tech products, such as the automotive, consumer, medical, and industrial sectors.
Geography
We know that every border that has to be crossed to move raw materials, components, and finished goods introduces any number of risks for the supply chain. Selling in the same country where you manufacture thus reduces risk for some percentage of your sales. This strategy has been a boon to those companies that sell their products in the low-cost countries that they have come to rely on for goods production.
Product portfolio/platforms
Another way to reduce risks and supply interruptions is by designing and making simpler products that use relatively few parts or components. Similarly—though it sounds counterintuitive at first—products designed and built with ingrained software can actually reduce manufacturing complexity by making it possible to modify the built-in functionality of a product with the flip of a virtual switch. Under this strategy, customers pay only for the features that they value, increasing product flexibility and sales options without increasing manufacturing complexity—essentially, this brings the “software-as-a-service” business model into the physical world of objects like automobiles and appliances.
Working capital
Finally working capital can be wielded as a strategic weapon and help increase resilience in the supply chain. It can be used to lock in supply by, for example, using it to make mass buys of raw materials or of common components that are used across a company’s products. It can even be used to lock in suppliers through strategic supplier management efforts such as investing in a key supplier’s capabilities and facilities.
Overcoming constraints and identifying opportunities
Clearly, traditional approaches to supply chain management are no longer sufficient. Cost and performance remain important, but it is also critical to identify opportunities in the supply chain to reduce risk exposure through increased flexibility and redundancy. The supply chain strategy must evolve if we are to take any positives away from the COVID-19 pandemic and emerge stronger, more competitive, and better able to thrive when faced with the next crisis.
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).
"After several years of mitigating inflation, disruption, supply shocks, conflicts, and uncertainty, we are currently in a relative period of calm," John Paitek, vice president, GEP, said in a release. "But it is very much the calm before the coming storm. This report provides procurement and supply chain leaders with a prescriptive guide to weathering the gale force headwinds of protectionism, tariffs, trade wars, regulatory pressures, uncertainty, and the AI revolution that we will face in 2025."
A report from the company released today offers predictions and strategies for the upcoming year, organized into six major predictions in GEP’s “Outlook 2025: Procurement & Supply Chain.”
Advanced AI agents will play a key role in demand forecasting, risk monitoring, and supply chain optimization, shifting procurement's mandate from tactical to strategic. Companies should invest in the technology now to to streamline processes and enhance decision-making.
Expanded value metrics will drive decisions, as success will be measured by resilience, sustainability, and compliance… not just cost efficiency. Companies should communicate value beyond cost savings to stakeholders, and develop new KPIs.
Increasing regulatory demands will necessitate heightened supply chain transparency and accountability. So companies should strengthen supplier audits, adopt ESG tracking tools, and integrate compliance into strategic procurement decisions.
Widening tariffs and trade restrictions will force companies to reassess total cost of ownership (TCO) metrics to include geopolitical and environmental risks, as nearshoring and friendshoring attempt to balance resilience with cost.
Rising energy costs and regulatory demands will accelerate the shift to sustainable operations, pushing companies to invest in renewable energy and redesign supply chains to align with ESG commitments.
New tariffs could drive prices higher, just as inflation has come under control and interest rates are returning to near-zero levels. That means companies must continue to secure cost savings as their primary responsibility.
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.”
Freight transportation providers and maritime port operators are bracing for rough business impacts if the incoming Trump Administration follows through on its pledge to impose a 25% tariff on Mexico and Canada and an additional 10% tariff on China, analysts say.
Industry contacts say they fear that such heavy fees could prompt importers to “pull forward” a massive surge of goods before the new administration is seated on January 20, and then quickly cut back again once the hefty new fees are instituted, according to a report from TD Cowen.
As a measure of the potential economic impact of that uncertain scenario, transport company stocks were mostly trading down yesterday following Donald Trump’s social media post on Monday night announcing the proposed new policy, TD Cowen said in a note to investors.
But an alternative impact of the tariff jump could be that it doesn’t happen at all, but is merely a threat intended to force other nations to the table to strike new deals on trade, immigration, or drug smuggling. “Trump is perfectly comfortable being a policy paradox and pushing competing policies (and people); this ‘chaos premium’ only increases his leverage in negotiations,” the firm said.
However, if that truly is the new administration’s strategy, it could backfire by sparking a tit-for-tat trade war that includes retaliatory tariffs by other countries on U.S. exports, other analysts said. “The additional tariffs on China that the incoming US administration plans to impose will add to restrictions on China-made products, driving up their prices and fueling an already-under-way surge in efforts to beat the tariffs by importing products before the inauguration,” Andrei Quinn-Barabanov, Senior Director – Supplier Risk Management solutions at Moody’s, said in a statement. “The Mexico and Canada tariffs may be an invitation to negotiations with the U.S. on immigration and other issues. If implemented, they would also be challenging to maintain, because the two nations can threaten the U.S. with significant retaliation and because of a likely pressure from the American business community that would be greatly affected by the costs and supply chain obstacles resulting from the tariffs.”
New tariffs could also damage sensitive supply chains by triggering unintended consequences, according to a report by Matt Lekstutis, Director at Efficio, a global procurement and supply chain procurement consultancy. “While ultimate tariff policy will likely be implemented to achieve specific US re-industrialization and other political objectives, the responses of various nations, companies and trading partners is not easily predicted and companies that even have little or no exposure to Mexico, China or Canada could be impacted. New tariffs may disrupt supply chains dependent on just in time deliveries as they adjust to new trade flows. This could affect all industries dependent on distribution and logistics providers and result in supply shortages,” Lekstutis said.