Steve Geary is adjunct faculty at the University of Tennessee's Haaslam College of Business and is a lecturer at The Gordon Institute at Tufts University. He is the president of the Supply Chain Visions family of companies, consultancies that work across the government sector. Steve is a contributing editor at DC Velocity, and editor-at-large for CSCMP's Supply Chain Quarterly.
As consumers we're accustomed to next-day, or even same-day, delivery with a point and a click. Those expectations are now flowing from the B2C (business-to-consumer) world into the B2B (business-to-business) space. That, all by itself, is a challenge. Then a disruption happens. Strike. Trade war. Flood. Hurricane. Tornado. Wild fire. The list goes on.
When it comes to responding effectively to disruptions, commercial supply chains could find inspiration from a surprising source: the public sector. One good place to start is the Defense Logistics Agency (DLA).
With about US$35 billion in annual sales and 27,000 employees around the globe, DLA is perhaps the largest distributor you've never heard of. Headquartered just outside of Washington, D.C., DLA is the U.S. Department of Defense's (DoD's) logistics support agency. DLA manages a global supply chain—from raw materials to end user to disposition—for the U.S. Army, Navy, Air Force, Marine Corps, Coast Guard, 10 combatant commands, other federal agencies, and partner and allied nations.
If DLA was a publicly traded company, it would be in the Fortune 100, bigger than Coca-Cola. DLA supplies about 85 percent of the military's spare parts and nearly 100 percent of its fuel and troop support consumables (including food), manages the reutilization of military equipment, provides catalogs and other logistics information products, and offers document automation and production services to a host of military and federal agencies.
Earning its keep
What is interesting about DLA—and makes it a relevant comparison for commercial distributors—is the way it's funded. Unlike most U.S. government operations, DLA is not funded directly by Congress. Instead, it earns its keep.
In practice, DLA runs similarly to a commercial business. DLA maintains what is called a working capital fund, originally created decades ago, and it uses this fund to procure inventory. DLA then "resells" that inventory to its government customers with a modest markup and collects the proceeds. Working capital flows back into the fund, with markup used to fund continuing operations.
Naturally, the government has a name for the markup. They call it a "cost recovery rate." Every year, DLA adjusts the recovery rates to keep ongoing operations running at breakeven. DLA runs like a business, and it competes.
And it does so while operating a globally ready and responsive enterprise. After all, answering rapid shifts in demand patterns is an essential part of any humanitarian relief mission, natural disaster response effort, or military operation.
Ready position
The private sector could learn a thing or two from DLA about handling supply chain disruptions. One key part of handling a disruption is simply readiness. Donnie Thompson, chief of Deployment and Training for DLA Distribution's Expeditionary Logistics division, says that it's imperative for operations to be prepared that things might not go according to plan. "Contingencies happen at a moment's notice," he says in an article published by the DLA Public Affairs Office. "We have to be adaptable, flexible, and understand that missions don't always go by the book—we have to be ready anyway."
How DLA does this is spelled out in its 10-year strategic plan: "The speed and complexity of global crises require resilient networks, robust partnerships, and quickly integrated teams. We will position resources for rapid use, build more deployable capabilities, and strengthen our partnerships using integrated logistics and contracting services."
As a case in point, consider what DLA Distribution calls its "deployable capability." For example, DLA Distribution has gone into the field after Hurricane Ike, dropped into two different locations in Afghanistan in 2010 and 2011, and supported Operation United Assistance—a response to the Ebola outbreak—in 2014. It provides a modular, scalable, and fully deployable distribution capability. When activated, the assessment team arrives on site within 48 hours, and the main body deploys within 96 hours. If force protection is required, the military provides it.
Most operations are not able to deploy this fast, but some do. Waffle House has a fleet of mobile restaurants on wheels. The Red Cross can set up in a matter of hours. The U.S. Federal Emergency Management Agency (FEMA) has essential life-support supplies cached around the country, ready to mobilize on demand.Â
In each of these cases, the mission defines the operational strategies. DLA's published mission is to "provide an agile, global DoD Distribution network that delivers effective and efficient distribution solutions." That mission means that DLA has to be ready to go anywhere at any time, including inserting into dangerous places. They find a way.
That concept flows down to another pillar of the 10-year strategic plan, a reliance on partnerships to achieve adaptability, flexibility, and agility. Specifically, the plan advises DLA to "work with industry to ensure a capable defense industrial base, generate innovative and efficient solutions, and maintain a secure and resilient supply chain. By building on our strong relationships with industry partners we'll deliver cost-effective, innovative solutions. An agency supplier engagement plan will guide us. We will continuously assess the strength of our industrial capabilities and develop responses to vulnerabilities, reduce single points of failure, and implement best practices." The days of a vertically integrated supply chain are over; we need to work as a team across organizational boundaries.
We all benchmark against our commercial counterparts. Maybe it's time to include capable government operations in the mix. DLA has over 200 locations in the continental United States and another 30 or so dispersed around the world. Go knock on its door; the people there would love to show you around. (I recommend checking out DLA Distribution's Susquehanna facility, located in New Cumberland, Pennsylvania.) They know the warfighter comes first, but they understand that the taxpayer is not far behind.
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."