Carriers and shippers can work together to bring about efficiencies in trucking and mitigate the cost of fuel surcharges, says Professor Chris Caplice.
If there's anything positive to be said about the economy, it's that the recession has provided a respite from the sky-high fuel costs that plagued shippers in the summer of 2007. Smart supply chain managers, however, are not allowing themselves to be lulled into a sense of complacency by lower prices. Instead, they are thinking about what actions they can take now and in the future to mitigate the effects of an inevitable return to high fuel costs.
This concern was evident at CSCMP's 2009 Annual Global Conference in Chicago, where attendees packed the room for Chris Caplice's session on fuel surcharges. In front of this audience, he discussed different approaches to fuel surcharge programs and their relationship to transportation rates.
Caplice, the executive director of the Massachusetts Institute of Technology's Center for Transportation & Logistics, has spent years studying the arcane world of surcharges as part of his broader focus on the impact of business policies on transportation rates. In a recent interview with Editor James Cooke, he discussed his surcharge research and other developments related to fuel price volatility.
What are the most common types of fuel surcharge programs in the United States today?
Fuel surcharge (FSC) programs are most commonly structured with three elements: a peg, or base, rate; an escalator; and a surcharge.
The peg rate is the minimum price for fuel, in dollars per gallon, above which the shipper pays the carrier some sort of fuel surcharge. If the price of fuel falls below this peg rate, the carrier has to subsidize the shipper. The current price of fuel [used for calculating surcharges] is typically taken at the national level, updated weekly, and posted on the U.S. Department of Energy web site. Some shippers use regional or route-specific fuel prices as well.
The escalator is the amount of change in the fuel price that is needed to trigger a surcharge payment. For example, if the escalator is [US] 5 cents per gallon, then every 5-cent increase in the price of fuel will trigger an additional surcharge payment ...
Finally, the surcharge itself is the amount paid by the shipper per incremental increase. This is predominately distance-based for truckload and is typically 1 cent per mile. Some shippers use a percentage- based surcharge, where a percentage of the line-haul rate is applied ... Some use a tiered fuel surcharge arrangement. In tiered programs, one fuel surcharge applies to low fuel costs and another one (usually paying less to the carriers) kicks in at a higher cost of fuel. The thought behind tiered programs is that as fuel costs increase, the carriers will become more efficient.
The most common values for a fuel surcharge program are a $1.20-per-gallon peg rate with a 55cent escalator and a 1-cent surcharge per mile. Some shippers are experimenting with reducing the peg rate to 0, thus taking full responsibility over fuel costs.
Can you explain how a zero peg rate would work?
Under a zero peg approach, a shipper would just pay a little more in fuel surcharges and hopefully a little less in line-haul costs. Let's use the example of a shipper with a lane where he is paying, say, $1.40 per mile for the line haul and the price of fuel is, say, $3.00 per gallon. If the shipper has a $1.20 peg rate with a 6-cent escalator and a 1-cent surcharge, he would be paying a fuel surcharge of 30 cents per mile, for a total payment (line haul plus fuel surcharge) of $1.70 per mile.
Now suppose that the shipper switches to a zero peg fuel surcharge program. This would mean that the surcharge, with fuel at $3.00 per gallon, would be equal to $3.00 divided by 6 cents, or 50 cents per mile. Naturally, then, the shipper would expect the carrier to reduce its line-haul rate from $1.40 to $1.20, so that the total payment to the carrier (line haul plus FSC) would be $1.70 per mile. The carrier makes the same amount of money; it is just paid out of different buckets. In the long run, [this approach] provides the shipper a clearer view into fuel costs, which should enable better management and control of those costs.
Name: Chris Caplice Title: Executive Director, Center for Transportation & Logistics Organization: Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
BS in Civil Engineering, Virginia Military Institute
MS in Civil Engineering, University of Texas at Austinn
Ph.D. in Transportation and Logistics Systems, Massachusetts Institute of Technology
Dissertation, "An Optimization Based Bidding Process: A New Framework for Shipper-Carrier Relationships," won CSCMP (then Council of Logistics Management) 1997 Doctoral Dissertation Award
Publications: Journal of Business Logistics, International Journal of Logistics Management, and Transportation Research
Industry experience: senior management positions in supply chain consulting, product development, and professional services at several companies, including Chainalytics LLC, Logistics.com, and SABRE
Five years in the U.S. Army Corps of Engineers, achieving rank of Captain
How do fuel surcharge programs affect rates?
There are two schools of thought concerning the impact of fuel surcharges on line-haul rates. One says that they complement each other—for every 1 cent more the shipper provides the carrier in fuel surcharges, the line-haul rates will decrease by 1 cent. The other school of thought says they are totally independent, and that setting the line-haul price is done without considering the FSC program.
In some work that I have done with the consulting firm Chainalytics over the last several years, we have found that it is somewhere in the middle. Generally ... shippers paying more in fuel surcharges tend to have slightly lower line-haul rates.
However, this is not uniformly true across all companies or lanes within a firm's network. The fuel surcharge program affects lanes differently, mainly based on the origin and destination characteristics. FSC programs only pay for loaded miles, so the empty miles needed to get [a truck] to the origin from the previous load and from the destination to the next load are not covered ? The carriers, then, need to build not only the expected empty miles into the line-haul price but also an estimate of what the fuel costs will be. My sense is that shippers cover about 80 percent of the fuel costs that carriers spend.
Should shippers form risk-sharing agreements with their carriers as another way to deal with volatile fuel prices?
Technically, fuel surcharge programs are risk-sharing contracts. When most companies established them in the mid- to late-1990s, the price of fuel would actually fluctuate around the peg rate. This explains why most shippers have a peg rate in the range of $1.10 to $1.30 per gallon—it is the rough range of fuel costs during that time period. Now that fuel is in the range of $2.70 to over $3.00 a gallon, the probability of [the price] dropping to below $1.20 a gallon is very, very slight.
I think that FSC programs are absolutely critical for shippers and carriers. Ever since deregulation, shippers have enjoyed a very competitive truckload market, which produced "cost-plus" pricing. Because shippers also like stability in their costs, they have demanded— and gotten—long-term line-haul rate guarantees, usually for one to two years. There is simply no way a highly competitive market with cost-plus pricing can set long-term rates that are independent of fuel when that can be your major cost. Carriers have to pass on at least a portion of their fuel costs to shippers, if only to have some stability in their line-haul rates.
You've suggested that shippers leverage sustainability programs as another way to tame fuel surcharges. How would that work?
It is a lucky coincidence that efficiency and environmental sustainability are very tightly correlated. Decreasing empty miles, reducing the number of total truckloads, and increasing trailer loading utilization all lead to lower costs, less fuel used, and lower overall environmental impact.
Most shippers try to use carriers that are SmartWay certified; this is a trend that will only increase. Some shippers only use SmartWay carriers. I think the objective for all of this is to reduce the amount of fuel used, and not necessarily to reduce the amount of fuel surcharge paid.
[Editor's note: The SmartWay program is a U.S. government initiative, overseen by the Environmental Protection Agency, in which trucking companies take steps to improve fuel efficiency and decrease pollution.]
What other ways can carriers and
shippers work together to contain
fuel surcharges?
The real issue is to work to improve efficiency. This can be improved in a number of different ways. Better scheduling will reduce dwell time at the loading dock. More information on pending loads could lead to better trip chaining, which will reduce empty miles driven. There are also some firms that are helping carriers invest in certain technologies that improve fuel efficiency.
I am a proponent of the zero peg rate FSC programs that some shippers are implementing. This means that the shipper has pulled virtually all of the fuel costs out of their linehaul rates. They couple the zero peg rate to a planned-out, scheduled increase in the escalator. This provides an incentive for carriers to increase their fuel efficiency ? The escalator is essentially a proxy for the fuel efficiency of the carrier's fleet: an escalator of 5 cents per gallon implies 5-miles-per-gallon fuel efficiency, and a 6-cents-per-gallon escalator implies 6 miles per gallon, and so on.
Any idea where fuel prices are headed this year?
I am absolutely positive that fuel prices will go up—and then down. While the overall direction will most likely trend up over the next several years, the only sure thing is that price volatility will increase. In the ten years from 1994 to 2004, the weekly average change in Number 2 Diesel was about plus or minus 1 cent. Over the last five years, from 2004 to the end of 2009, this increased to almost plus or minus 5 cents per week! I see [fuel price volatility] only growing.
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."