Supply chain managers should pay special attention to three trends that will reshape international trade and shipping patterns over the next decade, potentially altering supply chain dynamics.
For supply chain managers, there is no simple way to view the global economy. We are now seeing multiple, divergent macroeconomic trends that are likely to have significant implications for businesses over the next several years. These include falling oil prices, more stimulus from central banks, and a stronger U.S. dollar, among others. However, there are three global trends supply chain managers should watch closely. These trends will reshape international trade and shipping patterns over the next decade, potentially altering supply chain dynamics.
Slower growth in emerging markets
Chief among these trends is the slowdown of emerging market growth. The extraordinary growth of emerging markets—in particular the BRIC countries (Brazil, Russia, India, and China) during the 2000s—encouraged many U.S. and European companies to move manufacturing operations overseas. But during those boom years, many emerging markets failed to institute the necessary structural reforms that would enable them to transition to slower but more sustainable economic growth. As a result, economic performance in a number of those markets has rapidly deteriorated over the last few years.
China is maintaining relatively strong growth; last year real gross domestic product (GDP) growth was 7.4 percent, and this year it's projected to be 6.5 percent. Brazil and Russia, however, have entered economic recessions. Russia's economic performance is tied to the ups and downs of oil markets and is now seeing the impact of Western sanctions. Brazil's real GDP growth for 2014 was just -0.1 percent. Meanwhile, India faces much slower GDP growth due to declining fixed investment and productivity.
Real GDP growth in the United States averaged 3.2 percent between 1980 and 2007. Since the end of the Great Recession in June 2009, the recovery has been anemic, with real GDP growth averaging just 2.2 percent. In the European Union, the recovery has been hampered by the two-tiered growth performance of the northern and southern countries. The north is relatively economically stable, while the south is slowly digging out of a deep economic hole.
While IHS expects global real GDP to accelerate in 2015, globalization—defined as the value of world exports as a percent of global GDP—is not expected to follow suit. Over the past 20 years, roughly coinciding with China's acceptance into the World Trade Organization (WTO), trade growth has accelerated and outpaced overall economic growth; that is, globalization increased. This pattern ended with the recession, and trade as a share of of world GDP is expected to hold at around 30 percent, where it has been since 2010 (see Figure 1).
The combination of the slowdown in emerging markets and relatively weak U.S. and Western European economic performance has slowed world trade growth. International trade is expected to grow on pace with GDP.
Supply and demand balancing
In 2014, China's GDP represented 14 percent of global GDP, while the United States represented almost a quarter of global GDP. However, by 2024 China and the U.S. are likely to be even at about 20 percent each, which would balance global production more uniformly between East and West. Consumption patterns are expected to follow that shift.
U.S. consumers probably will continue to claim the highest percentage share of global consumption for the next few years, but emerging-market consumers are closing the gap. While its growth has slowed somewhat, the rise of China's consumer class is likely to propel the Chinese economy to a much larger share of global consumption over the next six to eight years, fueled by accumulated wealth and an increasing number of middle-income households (see Figure 2). In fact, IHS expects consumption in the BRIC countries to surpass that of Western Europe or the United States in 2022.
These changing international trade, production, and consumption patterns have several implications for global supply chain managers. First, the relative decline of the U.S. consumer's importance to global trade will serve to reduce production volatility. As producers become less reliant on one market they will be able to spread risk in a more balanced way.
Second, the major trading blocs are becoming increasingly connected and their performance correlated. At the same time that retailers are struggling for market share in the West, the growth of the middle class in China and India has slowed. A strategy that considers relative growth opportunities across multiple markets will enable global corporations to maximize their market opportunities.
Third, buyers will face competition from consumers in traditionally exporting countries. For example, the BRIC countries' production will increasingly be consumed within their domestic markets, and manufacturers there will view domestic markets as increasingly appealing relative to export markets. This will contribute to a reduction in economic globalization while reducing the export-oriented nature of production.
Production shifts
Several countries are showing promise as good locations for sourcing or as end markets. Chief among them are Mexico and Vietnam.
Mexico's increased competitiveness is helping the country regain its share of U.S. imports at China's expense. In 2001, China's entry into the WTO caused a major shift in trade, with China quickly outpacing Mexico in exports to the United States. Between 2001 and 2005, Mexico's share of U.S. imports of manufactured goods fell from 12.1 percent to 10.4 percent, while China's share rose from 11 percent to 19.2 percent. But Mexico staged a comeback. By 2009, China's share of U.S. imports had leveled off at around 26 percent, while Mexico's share grew to 13 percent by 2013. Proximity to the United States, lower relative wages, and the high cost of ocean shipping compared to the cost of utilizing an improved north-south transportation infrastructure between the U.S. and Mexico were primary factors in this shift.
China can no longer offer the kind of cost advantages that allowed it to become a dominant player in global manufacturing. Not only are labor costs rising, but there also is growing concern about broader macroeconomic and political risks, such as civil stability, "shadow" banking, a real estate bubble, and military adventurism. These factors have prompted Western companies to reassess their reliance on China.
This concern is also helping to drive growth in Vietnam, China's southern neighbor. The country has been a member of the WTO since 2007 and has manufacturing wages that are roughly half of those paid in China. These advantages have recently triggered a surge in manufacturing foreign direct investment and have led to a tenfold increase in the value of Vietnam's merchandise exports since 2000, with shipments in 2014 expected to have hit US $150 billion.
Positive implications
Changing global production and consumption patterns should have generally positive implications for global supply chains. On the consumption side, a more regionally balanced demand for goods will reduce dependence on any one market and lower overall supply chain risk. On the production side, the emergence of regional manufacturing centers—in Mexico, Vietnam, and elsewhere—will distribute and perhaps minimize the risks for downstream manufacturers, distributors, and other members of the global supply chain. These benefits will be mitigated by trade growth that is closer to the growth in overall economic activity. Look generally for shorter and more diverse supply chains going forward.
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."