Yogurt maker Stonyfield Farm's initiative to shrink its carbon footprint offers a possible model for other companies that are concerned about their supply chains' greenhouse gas emissions.
How much carbon dioxide does yogurt manufacturing produce? Too much, according to yogurt maker Stonyfield Farm, which has pioneered a program to reduce greenhouse gas (GHG) emissions across its entire company.
For the past four years, the Londonderry, New Hampshire, USA company has worked hard to shrink its carbon footprint —the amount of carbon dioxide (CO2) it produces as a byproduct of its business. Although milk production is the biggest culprit, the transportation of finished products is close behind in the amount of greenhouse gases released into the atmosphere.
That's why the company embarked on a program to cut CO2 emissions associated with the delivery of its finished goods. Stonyfield's carefully planned foray into carbon-footprint mapping offers a possible model for other companies that are concerned about their supply chains' carbon emissions.
MAPing and measuring
As a maker of organic products, Stonyfield Farm has always had a keen interest in programs that help the environment. Founded in 1983, the company makes yogurt, yogurt smoothies, organic milk, cultured soy, frozen yogurt, and ice cream. In the company's early days, it was headquartered in an old farmhouse and the operation consisted of two families and seven cows. Today it's the number one maker of organic yogurt and the third-largest brand of yogurt overall in the United States. Its sales totaled more than US $300 million last year, and the company has averaged a 24-percent annual growth rate over the past 19 years.
In 2001 and again in 2006, Stonyfield Farm conducted an evaluation of its carbon footprint. The audit included virtually every business activity, from business travel to waste disposal, along with packaging, electricity usage, purchasing, the use of ingredients (such as milk, sugar, and fruit flavors), and shipping of raw materials and finished products. After completing those assessments, the company determined that the activities generating the most carbon dioxide were, in rank order, milk production, packaging, and transportation of finished products.
"The first time we did a complete [carbon] footprint [study], we were completely stunned that milk and packaging were our two biggest contributors to climate change," said Nancy Hirshberg, vice president of natural resources at Stonyfield Farm. She noted that the way livestock is raised results in greenhouse gas emissions from a variety of sources, including methane from the cattle's natural digestive process; methane from the manure; energy used to grow and transport the feed; energy used to make fertilizer; and on-farm energy use, such as electricity for cooling the milk. "One molecule of methane is equal to 25 molecules of carbon, so methane is far more potent than carbon," she said. "We've been working on this for many years and have developed programs in each of these areas of impact to try and reduce the emissions from our milk supply chain."
To address environmental issues and help employees achieve the company's environmental goals, including CO2 reduction, Stonyfield Farm set up Mission Action Program (MAP) teams in December of 2006. Director of Logistics Ryan Boccelli was chosen to head up a MAP team that would set goals for cutting carbon dioxide emissions in finished-goods transportation. The team included representatives from marketing, sales, and natural resources as well as from supply chain functions.
The transportation MAP covers shipments from the main plant and distribution center (DC) in Londonderry, where about 99 percent of the company's outbound volume originates. It also includes two co-packers, which produce items for Stonyfield and ship them to the Londonderry DC for nationwide distribution.
The team determined that the goal for the program's first year should be to establish an accurate baseline for greenhouse gas emissions generated by outbound transportation from Londonderry to customers throughout the United States. At this point, the transportation MAP team involved Miami-based Ryder Logistics, which operates a dedicated fleet for Stonyfield Farm and manages the 30 for-hire motor carriers it also uses. (The dedicated fleet carries about 30 percent of outbound shipments while for-hire carriers handle the rest.) Ryder maintained a database of the yogurt maker's shipments by region and by customer — data that would prove to be very helpful in mapping carbon emissions.
To calculate its emissions baseline, Stonyfield Farm used the "FLEET" (Freight Logistics Environmental and Energy Tracking) performance model developed by the U.S. Environmental Protection Agency (EPA). The model assumes that carrying a product one mile by truck or rail emits 1,847.5 grams of carbon dioxide. By multiplying that figure by the number of miles that trucks traveled to deliver its products to customers in the fourth quarter of 2006, Stonyfield Farm developed a baseline number of tons of carbon dioxide emitted in the transportation of finished goods.
The transportation MAP team is striving to meet the goal of a 40-percent reduction in the company's total annual carbon emissions by 2014. But rather than think solely in terms of absolute tons, it has been focusing on the amount of carbon dioxide generated per delivered ton of product. (See Figure 1.) By using that metric, Boccelli said, Stonyfield Farm can compare the effect on carbon emissions by customer and by region, regardless of delivery frequency. "If we reduce the amount of CO2 per ton delivered, then the absolute tonnage [of greenhouse gases] should fall even if the volume stays constant."
First steps yield big results
Once it had that emissions baseline, Boccelli's team identified ways to improve equipment utilization and reduce mileage, and hence Stonyfield Farm's carbon footprint. As a first step, the team decided to consolidate less-than-truckload (LTL) shipments into full truckloads. To promote truckload delivery, the yogurt maker established order minimums for customers and began requiring 48 hours' advance notice of order revisions. It also undertook route optimization based on reports it received from Ryder. As a result, the company was able to eliminate more than four million miles and some 2,500 truck trips from 2006 to 2007, reducing its CO2 per ton delivered by about 40 percent. Today, the only place Stonyfield Farm still ships LTL is New York City, because it has not yet found a suitable carrier to deliver multi-stop truckloads in that market.
In 2008, Boccelli's MAP team looked for opportunities to further reduce its transportation-related greenhouse gas emissions. Stonyfield Farm began including environmental considerations in its performancemeasurement scorecards for motor carriers. It also encouraged its carriers to participate in the EPA's SmartWay Program, which works with carriers and shippers to improve air quality and reduce carbon emissions. And the shipper inserted stipulations that motor carriers use new, lower-emission equipment into any new transportation contracts it signed.
Toward the end of the year, Stonyfield Farm conducted a network analysis that examined its distribution patterns, inventory deployment, and customer locations with an eye toward reducing the number of miles traveled during deliveries. Analysts looked at scenarios that included adding new plants and distribution centers to shorten lengthy, nationwide routes.
Although Stonyfield Farm has not yet made any changes to its distribution network, the exercise did identify other steps it could take to reduce its carbon footprint. For example, the analysis suggested that the yogurt maker could —as Boccelli says —"think outside the truck" and ship by rail. In January of 2009, the company began using Railex, a weekly refrigerated railcar service for food products, to move orders to the Pacific Northwest. One slight drawback is that the company needs an additional day's notice to prepare rail shipments, Boccelli noted. Still, the service has been successful enough from both an environmental and a cost standpoint that Stonyfield plans to use Railex to deliver product to customers in California, Texas, and Florida by 2012.
Currently the shipper is working with Ryder to upgrade the tractor and trailer equipment in its dedicated fleet to "greener" models. At this writing, the third-party logistics company had replaced three of the four tractors and four of the six refrigerated trailers in the small fleet. The new tractors have on-board computers that monitor drivers' compliance with curbs on engine idling and with the company's 63- miles-per-hour speed limit. The new units also come with such enhancements as special tires and directdrive transmission for better fuel economy. The fleet is now averaging 6.3 miles per gallon, a big jump from the 5.25 miles per gallon it achieved in the past. As a result of purchasing new equipment, the dedicated fleet has cut its carbon emissions by 10.4 percent.
Ambitious goals
The transportation MAP team has achieved notable results in a short time. Its efforts have contributed to Stonyfield Farm's receiving several environmental awards, including the U.S. EPA's Clean Air Excellence Award, the EPA and U.S. Department of Energy's Green Power Leadership Award, and designation as an EPA SmartWay Transport Shipper, including winning a SmartWay Excellence Award. Yet Boccelli and his colleagues aren't ready to sit back and simply enjoy their achievements. In fact, the team members have set ambitious goals for reducing greenhouse gas emissions even further. They aim to cut emissions per unit of yogurt delivered (compared to the 2006 baseline) by 50 percent by 2010 and 75 percent by 2015. They also have set a goal of cutting absolute annual CO2 emissions by 40 percent off the 2006 baseline by 2014. To realize those goals, Boccelli said, Stonyfield Farm will expand its use of rail service and will have to consider realigning some of its production sites and distribution centers. "The only way that we'll get to our targets is through plant and DC optimization," he said.
Boccelli remains confident that his team will meet with success, in large part because he has a determined crew and the program enjoys support from Stonyfield Farm's top executives. "Two years ago, we didn't think we could reach [the initial] goals," he said. "My team has not failed yet. And we have a leadership team that's willing to listen if we have to do something radical."
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."