Editor's note: We received the following comments in response to Editor James Cooke's Perspective column ("U.S. logistics costs: Are we measuring the right things?") when it appeared in an electronic newsletter prior to publication in the print edition. We welcome your comments on this or any other article in CSCMP's Supply Chain Quarterly via e-mail to jcooke@supplychainquarterly.com. (Letters may be edited for length and/or clarity.)
Managers can control the amount of inventory
With regard to your comment, "Since logistics managers can't really manage carrying costs, then perhaps it's time to change the calculation for U.S. logistics costs to include only those elements that are under the sway of practitioners": Logistics managers can manage a significant factor in carrying costs—the amount of inventory carried. Don't absolve them from this responsibility because they cannot control interest rates.
Now, if you wanted to create a normalizing factor, that would be good. For example, you could establish a baseline "cost of money" at a given percentage, and then translate current carrying costs to that cost of money. It would be a relatively easy calculation to set up. All you have to do is get agreement on the baseline cost of money. Which is easier said than done, as everyone will have an opinion on what it should be.
Mike Ledyard
Partner
Supply Chain Visions Ltd.
Memphis, Tennessee, USA
Interest rates might rebalance ocean flows
In a weak economy, containerized shipping has embraced the [trade-off of] price/cost versus transit time and predictable shipment availability. As interest rates rise, the cost of inventory may require more stringent carrier/vendor management criteria, with more focus on transit time and schedule integrity than on lowest price.
In the 1980s, U.S. Lines failed with their slow and low-cost 4,000-TEU "Econ" ships. Interest rates in those days were in the double digits, and competition based on faster transit time was favored. Today 16,000-TEU ships are flooding the market with excess capacity based on their lower cost advantage. Perhaps rising interest rates will promote a healthier balance of supply, demand, and time to market. Meantime, according to the "State of Logistics Report," international shipping represents a whopping 2 percent of total U.S. logistics costs, and trucking about 50 percent.
Rick Wen
Vice President, Business Development
OOCL (USA) Inc.
San Ramon, California, USA
What about transportation costs?
I enjoyed reading your recent piece on U.S. logistics costs, but I have to disagree a little with your statement.
You conclude that inventory carrying costs are out of the control of logistics managers and that, therefore, this may not be a good yardstick for logistics performance.
Please consider this:
1. Logistics managers can control inventory holding costs by holding less inventory. When interest rates (part of the total cost equation) rise, logistics managers will decide to hold less inventory.
2. Is it not the same with transportation costs? Fuel prices are also out of the control of logistics managers. Yet they can manage how much to ship by which means of transportation. Thus, they only affect what the fuel price is multiplied with—which is the same with the inventory and the interest rate.
Carl Marcus Wallenburg, Ph.D.
Professor of logistics and service management
WHU-Otto Beisheim School of Management
Vallendar, Germany
Why we should consider "administered prices" in calculations
I am the co-author and research principal of South Africa's annual logistics cost survey, of which the ninth measurement has just been released (www.csir.co.za/sol). I would like to comment on your perspective piece, "U.S. logistics costs: Are we measuring the right things?"
I call the phenomenon you refer to "administered prices" (exogenous risk)—elements industry has no control over, such as the interest rate and the fuel price. We should, as you infer, measure the activity (representing the real productivity measurement) and the price attached to the activity, separately. Both should, however, be measured, since this speaks to the heart of logistics—the trade-off between transport costs and inventory carrying cost.
Over the 30 years of Delaney's measurement (and Wilson's since his passing away), transportation's portion of logistics costs rose steadily and inventory carrying costs declined. We need to understand how much of the possible improvement in inventory carrying costs were as a result of lower inventories (the activity) and how much as a result of a lower paper rate. What we do from time to time is to run scenarios such as, "What would the logistics cost percentage have been if the prime rate stayed the same?" (we use prime and not the paper rate), or "What would it have been if the fuel price stayed the same?"
There is, however, a more significant problem to consider. We configure large-scale logistics systems based on, among other things, trade-offs between carrying costs and transport costs. In the case of South Africa's survey, we correctly predicted, over the decade since the survey's inception, that the core cost driver of administered transport costs (the oil price) will rise faster than administered inventory charges (the prime rate). The longer-term view of the changing global economic structure is, however, not yet considered sufficiently in infrastructure investments in many countries, including South Africa. If, for instance, the paper rate rises by 1 percent and the oil price increases to US $300 a barrel in 10 years (which is not unlikely), where will that leave us? Not having engineered a modal shift, for instance, will leave many economies vulnerable.
Both the activity and its administered costs therefore need to be included in macro-level logistics cost measurement, including scenario development. This will allow the development of industry discussion themes, such as this, that could lead to more sustainable logistics practices but also, importantly, policy formulation on a national level to reduce nations' exposure to exogenous risk.
Jan Havenga, Ph.D.
Director, Stellenbosch University Supply Chain Management Centre
Stellenbosch, South Africa
Logistics managers do control inventory
I disagree with the editorial. Logistics and supply chain managers do have a tremendous amount of influence over the amount of inventory held by their firms or within their supply chains. If interest rates are low, they take advantage of the situation by holding inventory and shipping in larger volumes to reduce their transportation costs and lower overall logistics costs. When interest rates increase, they reduce inventory and ship more frequently, again to lower overall total cost. If they're not concerned with the inventory carrying cost, then they definitely are concerned about the availability of working capital or the amount of current assets appearing on their balance sheets.
In addition, the inventory carrying cost should reflect the risk associated with holding those inventories. The inventory-to-sales ratio for retailers has recently been relatively low as compared to prior to the recession. Retailers recognize the risk [cost] associated with holding those inventories and have pushed the inventory back on the manufacturers, whose inventory-to-sales ratio is higher than pre-recession levels. The risk [cost] associated with holding components and raw materials is lower than for finished goods. If they had no control over these costs, then why does their behavior reflect the risks [costs] associated with holding inventory?
If we extend the argument of interest rates being uncontrollable, then why not eliminate transportation costs? Most shippers and carriers have little to no control over the cost of fuel. However, they do have control over the amount of fuel consumed, similar to the amount of inventory being held. The cost of fuel definitely affects logistics and supply chain behavior despite the lack of control over fuel prices.
The challenge of logistics and supply chain management stems from these uncontrollable variables and how executives must attempt to address them in their decision making.
Terrance L. Pohlen, Ph.D.
Director, Center for Logistics Education and Research
University of North Texas
Denton, Texas, USA
The original notion was that if you control the physical inventories, you control the costs. Of course, as you pointed out, that is not necessarily true.
Clifford F. Lynch
C.F. Lynch & Associates
Memphis, Tennessee, USA
Fuel costs, real numbers, and inventory strategy
Your commentary prompts several observations:
If the thought is to remove those elements one cannot control, and thus cannot measure, then couldn't one make the argument to take out fuel costs, which looks to be under no one's control?
The paper rate attaches a dollar cost to the **italic{real number,} which is the actual inventory levels.
Just-in-Time was not on the radar screen when Mr. Delaney started the "State of Logistics Report," and it has cycled through as the "next big thing." However, to those who control and match inventory levels to demand, they were, are, and will be the winners. After all, isn't this supply/demand challenge going to be solved by technology?
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."