Tight capacity and service disruptions have some shippers rethinking their mix of air and surface modes. Analytics is helping them make the right decisions.
Several key themes that have characterized the airfreight industry in recent years reappeared in 2014 as the cargo sector confronted the challenges posed by the combination of growing capacity and shrinking demand.
Air carriers and freight forwarders did get a temporary respite from those difficulties at the end of the year, when they were able to pass along rate increases during the peak season. These increases were supported not only by traditional seasonal demand, but also, at least in the United States, by unexpected demand from importers and exporters that had been negatively impacted when U.S. West Coast ports experienced congestion and work slowdowns.
Since the recession began nearly a decade ago, many shippers have taken great pains to reduce or even eliminate their spending on air transportation—undoubtedly one reason air cargo's share of trade has dropped. (See Figure 1.) Does this mean we are about to see a new chapter in the use of air freight, in which volumes decline significantly and permanently? Probably not. In fact, now that the West Coast port situation is returning to normal, shippers are taking a fresh look at the role air freight plays in their global supply chains, and many have rediscovered the strategic value of air shipments.
Here are three factors that are leading some shippers to reconsider their use of air transportation:
Inventory reduction. The opportunity to reduce inventory and related holding costs is an obvious benefit of the shorter lead times and increased service reliability that air freight offers. For example, when inventory costs are taken into consideration, air freight can actually be the low-cost decision for perishable or high-value products.
More shippers are recognizing this opportunity and are factoring it into their mode-selection decisions. Unfortunately, many still optimize their transportation costs within the silo of a transportation budget, without having visibility of the total cost of ownership of their products. As a result, they often base their decision on freight costs alone and overlook the true total cost of using air rather than surface modes.
Flexibility. Shippers want more flexibility because it allows them to position their products in the right location from the beginning, a capability that is key to promoting inventory reduction. Moreover, as demand data become more granular and real-time, having the ability to defer decisions about inventory quantity and physical placement until closer to the time of consumption creates a business advantage. Air freight's flexibility, speed, and shorter lead times help to make all this possible. This has many shippers rethinking mode-selection strategies that predate the arrival of social media.
Networks in place, just in case. A third aspect of air transportation that shippers are rediscovering is the value of having an air network in place for contingencies. Many shippers that had a "zero-tolerance" policy that forbade air shipments on the grounds that they were too expensive had to scramble to get air capacity in the fourth quarter of last year, when capacity was unusually tight and their usual modes of transportation were unavailable or insufficient. Some of those shippers are now rebuilding their relationships with air carriers and freight forwarders—something they'll need if they're to be prepared with alternative transportation options when faced with another disruption to their global supply chains.
Analytics support more informed choices
Advanced modeling tools have been used for decades to identify the best location for supply chain nodes. Now similar tools are available to help shippers develop an optimized logistics strategy. This includes factoring the total cost of ownership into selection strategies for air and surface modes.
Shippers are becoming more sophisticated about using such analytics to influence their mode-selection strategies and execute them in real time. Indeed, analytics has changed the way many shippers view the way they manage their relationships with transportation service providers. Rather than relying on simple lane-rate negotiations every few years, for instance, they are now leveraging their freight forwarders' abilities to find synergies across modes. For example, some that are using global air forwarders also use the same providers for ocean forwarding and warehousing services within the same geographical theaters. In doing so, they are able to work with their freight forwarders to optimize their supply chains through complex strategies like merge-in-transit, deferring ownership of components later in the value chain, and so forth. Shippers are also using optimization technology to collaboratively identify mode-shift opportunities with their carrier and forwarder base. Negotiating multiple modes simultaneously increases the complexity of negotiations, but it also creates opportunities for step-change reductions in total cost.
Leaders in transportation execution are applying analytics in their day-to-day management of global freight flows. Many have designed more advanced metrics dashboards that enable real-time decision making across their supply chains. These metrics are more and more often cross-functional, and they allow decision makers to see the total impact of those metrics on cost and capital. In addition, transportation management systems (TMS) increasingly are being used across modes and geographies. When set up properly, this automates decision making and ensures greater adoption of proper mode-selection strategies.
These trends are unlikely to shake up the fundamental misalignment between supply and demand in the air transportation industry, as air freight will always be multiple times as expensive as the alternative modes. However, as more shippers evaluate total cost impacts across the supply chain, they are seeing value in air freight that they may have overlooked in the past. This trend will drive incremental demand for air cargo services while increasing the efficiency of supply chains.
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."