There is a need for more efficient supply chain logistics, technologies, and systems to help alleviate the economic and social ills associated with rising and volatile food prices in emerging markets and less-developed countries.
Over the last three decades U.S. and world food prices have trended upward while becoming increasingly volatile (see Figure 1). This trend highlights the need for more efficient supply chain logistics, technologies, and systems to help alleviate the economic and social ills associated with rising and volatile food prices in emerging markets and less-developed countries.
Why food prices are rising
Several key factors have been behind the rise in average global food prices since 2004. These include misguided macroeconomic, monetary, and other government policies. For example, policies that promote the use of biofuels (such as ethanol, which typically is made from corn) have created new links between food and energy supply.
It is generally believed when world oil prices reach the US $70 to $80 per-barrel range, biofuels production becomes more competitive and several types of grains are diverted to the production of biofuels. According to the U.S. Energy Information Agency and the U.S. Department of Agriculture, in 2011 the United States produced nearly 14 billion gallons of fuel ethanol from approximately 5 billion bushels of corn, or approximately 39 percent of national production. Similarly, in 2011 Brazil produced about 6.5 billion gallons of ethanol from approximately 325 million metric tons of sugar cane, or 50 percent of national production, according to IHS Agricultural Services estimates.
There is a downside to that shift: the diversion of a substantial amount of corn production toward fuel has led to shortfalls in the production of corn-based food staples. Moreover, because grain's byproducts are major ingredients of livestock feed and such food necessities as bread and flour, the large-scale use of grain for biofuels has contributed to malnutrition in some less-developed nations. On the upside, second-generation fuel sources like ethanol have made modest progress in contributing to global fuel supplies. But they have yet to become a significant factor, as evidenced by the fact that Brazilian and U.S. fuel ethanol production combined accounted for approximately 90 percent of global ethanol production in 2011.
In addition to government policies, other important elements contributing to rising food prices include a growing middle class in emerging markets, rising world urbanization rates, sensitivity to bad harvests and supply chain disruptions in agricultural markets, and higher costs for fuel and fertilizer.
Improved living standards in many parts of the world, including Brazil, Russia, India, and China (BRIC), are raising the demand for fuels and food (see Figure 2). Moreover, as people become wealthier, they consume more meat. Increased demand for meat, in turn, affects overall food costs.
For one thing, it boosts demand for livestock feed, which is mostly grain. According to some estimates, it takes approximately 10 calories of grain to produce one calorie of meat. For another, more deliveries of meat to consumer markets means greater demand for expensive fuel. Adding to the upward pressure on food prices is the combination of 1) rising food transportation costs due to higher petroleum and other energy prices, and 2) rising fertilizer prices caused by increasing demand for products that enable the higher grain yields required to meet the ever-increasing demand for meat.
The German statistician Ernst Engel (1821-1896) discovered that as income increases, the percentage of household income spent on food declines, even though the total amount spent on food actually rises. Thus, as countries transition to more-developed economies, households tend to dedicate a smaller share of their budgets to food and other necessities—even though the absolute level of food consumption increases.
Over the last decade, American consumers spent a smaller percentage of their household incomes on food than consumers in any other country. And although the North American and Western European middle classes are struggling with declining median household income (adjusted for inflation), their counterparts in many emerging markets have made consistent income gains over the last decade. India in particular has made tremendous strides on this front. In 2000, the average Indian family spent 41.7 percent of its outlays on food; 10 years later, this share had decreased to 27.7 percent. During the same period, Chinese consumers' spending on food as a percentage of total outlays dropped less dramatically, from 29.2 percent in 2000 to 22.3 percent in 2010. As predicted by Ernst Engel, the total dollar amount of food spending per capita has increased while the percentage of household outlays devoted to food has decreased.
Parallel with the growth of the middle class in many large countries, the global urbanization rate for the first time in history surpassed the 50-percent mark sometime between 2001 and 2004. As urbanization rates increase, the pressure on farm productivity and supply chain efficiency increases as well.
The food supply chain: A call to action
Global and domestic food supply chains are complex and heterogeneous within or among countries. In general, agriculture, fisheries, and aquaculture are the furthest upstream; manufacturing and packaging of processed food occupy an intermediate space, with trade (wholesalers and retailers) and services (such as restaurants) further downstream. There have been considerable gains in recent years in emerging countries related to their food-supply networks. Recent advances in Internet and mobile communications have greatly enabled market mechanisms to improve food supply chain dynamics and assist in the monitoring and mitigation of food-price volatility.
There are several areas that can help many emerging countries improve the delivery of food to end users, either domestically or globally, thus reducing food-price volatility while simultaneously increasing supply:
Supply chain expertise, such as efficient consumer response (ECR), that assists the entire food supply chain in monitoring consumers closely while providing food at a lower price;
Implementation of food safety, hygiene, and quality standards;
Government infrastructure projects that promote efficiencies in delivering food to domestic or global end markets;
"Cold" logistical and supply chain systems to improve the quality of perishables during transportation; and
Opening up domestic markets to Western products and multibrand retailers.
Accelerating global economic integration over the last 30 years continues to elevate per-capita incomes in the developing world. Consistent with economic theory, as incomes rise the share of expenditures dedicated to necessary goods, such as food, follows a path of continuous decline while the absolute levels of consumption continue to rise. In turn, increases in food consumption, in conjunction with global financial and macroeconomic policies, have been putting increasing pressure on the price of food staples, inputs to meat production, biofuels, and other energy components. Consequently, the importance of efficient supply chain mechanisms for delivering food within and across borders has become more important than ever. To ensure efficient distribution of food supplies, supply chain managers worldwide will be faced with unique challenges and opportunities to ensure that consumers receive an adequate supply of food to meet their needs, thus helping to sustain, nourish, and further grow the global economy.
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."