With no end to the driver shortage in sight, motor carriers are stepping up their efforts to support driver-training programs in a bid to develop a pipeline of talent. The latest example is Green Bay, Wisconsin-based truckload and logistics services provider Schneider Transportation Management. Schneider recently donated 10 "gently used" Class 8 vehicles to commercial drivers license (CDL) driver-training programs at community and technical colleges in Oklahoma, Wisconsin, Iowa, and Texas.
The company is providing Freightliner Cascadia models that include automated manual transmissions and some of the industry's most advanced technologies. That choice of transmission is deliberate, since driver training is significantly more efficient when using an automated manual transmission that allows trainers to focus on maneuverability and awareness, rather than gear changing, Schneider says.
According to Schneider, the strategy could also help to broaden the pool of potential drivers by attracting candidates who were often overlooked in the past. "Women and younger adults are an emerging driver pool, and we believe technologies like automated manual transmissions, safety, and connectivity will attract a more diverse audience to the trucking industry," Rob Reich, executive vice president and chief administrative officer at Schneider, said in a release. "Learning on modern equipment spec'ed with some of the latest technologies and creature comforts helps attract new candidates and allows them to adjust more quickly to the new trucks operating within our fleet."
Many AI deployments are getting stuck in the planning stages due to a lack of AI skills, governance issues, and insufficient resources, leading 61% of global businesses to scale back their AI investments, according to a study from the analytics and AI provider Qlik.
Philadelphia-based Qlik found a disconnect in the market where 88% of senior decision makers say they feel AI is absolutely essential or very important to achieving success. Despite that support, multiple factors are slowing down or totally blocking those AI projects: a lack of skills to develop AI [23%] or to roll out AI once it’s developed [22%], data governance challenges [23%], budget constraints [21%], and a lack of trusted data for AI to work with [21%].
The numbers come from a survey of 4,200 C-Suite executives and AI decision makers, revealing what is hindering AI progress globally and how to overcome these barriers.
Respondents also said that many stakeholders lack trust in AI technology generally, which holds those projects back. Over a third [37%] of AI decision makers say their senior managers lack trust in AI, 42% feel less senior employees don’t trust the technology., and a fifth [21%] believe their customers don’t trust AI either.
“Business leaders know the value of AI, but they face a multitude of barriers that prevent them from moving from proof of concept to value creating deployment of the technology,” James Fisher, Chief Strategy Officer at Qlik, said in a release. “The first step to creating an AI strategy is to identify a clear use case, with defined goals and measures of success, and use this to identify the skills, resources and data needed to support it at scale. In doing so you start to build trust and win management buy-in to help you succeed.”
Many chief supply chain officers (CSCOs) are focused on reorganizing their supply chains in today’s business climate—but as they do so, they should be careful to avoid common pitfalls that can derail their efforts.
That’s according to recent research from Gartner that identifies critical organizational design mistakes that will prevent supply chain leaders from delivering on business goals.
“Supply chain reorganization is high up on CSCOs’ agendas, yet many are unclear about how organization design outcomes link to business goals,” according to Alan O'Keeffe, senior director analyst in Gartner’s Supply Chain practice.
The research revealed that the most successful projects radically redesign supply chain structure based on distinct organizational needs “while prioritizing balance, strength, and speed as key business objectives.”
“Our findings reveal that the leaders who achieved success took a more radical approach to redesigning their supply chain organizations, resulting in the ability to deliver on new and transformational operating models,” O’Keefe said in a statement announcing the findings.
The research was based on a series of interviews with supply chain leaders as well as data gathered from Gartner clients. It revealed that successful organizations assigned responsibilities to reporting lines in radically diverse ways, and that they focused on the unique characteristics of their business to design supply chain organizations that were tailored to meet their needs.
“The commonality between successful organizations is that their leaders intentionally prioritized the organizational goals of balance, strength and speed into their design process,” said O’Keeffe. “In doing so, they sidestepped the most common pitfalls in supply chain reorganization design.”
The three most common errors, according to Gartner, are:
Mistake 1: The “either/or” approach
Unbalanced organizational structures result in delays, gaps in performance, and confusion about responsibility. This often stems from a binary choice between centralized and decentralized models. Such an approach limits design possibilities and can lead to organizational power struggles, with teams feeling overwhelmed and misaligned.
Successful CSCOs recognize balance as a critical outcome. They employ both integration (combining activities under one team structure) and differentiation (empowering multiple units to conduct activities in unique ways). This granular approach ensures that decisions, expertise, and resources are allocated optimally to serve diverse customer needs while maintaining internally coherent operating models.
Mistake 2: Debilitating headcount reduction
Reducing headcount as a primary goal of reorganization can undermine long-term organizational capability. This approach often leads to a focus on short-term cost savings at the expense of losing critical talent and expertise, which are essential for driving future success.
Instead, CSCOs should focus on understanding what capabilities will make the organization strong in the short, medium, and long term. They should also prioritize the development and leveraging of people capabilities, social networks, and autonomy. This approach not only enhances organizational effectiveness but also ensures that the organization is ready to meet future challenges.
Mistake 3: The copy/paste approach
Copying organizational designs from other companies without considering enterprise-specific variations can slow decision-making and hinder organizational effectiveness. Each organization has unique characteristics that must be factored into its design.
CSCOs who successfully redesign their organizations make speed an explicit outcome by assigning and clarifying authority and expertise to remove elements that slow decision-making speed. This involves:
Designing structures that enable rapid response to customer needs;
Streamlining internal decision-making processes;
And differentiating between operational execution and transformation efforts.
The research for the report was based in part on qualitative interviews conducted between February and June 2024 with supply chain leaders from organizations that had undergone organizational redesign, according to Gartner. Insights were drawn from those who had successfully completed a radical reorganization, defined as a shift that enabled organizations to deliver on new activities and operating models that better met the needs of the business. The researchers also drew on more than 1,200 inquiries with clients conducted between July 2022 and June 2024 for the report.
Like seaports everywhere, California’s Port of Oakland has long been planning for the impacts of rising sea levels caused by climate change. After all, as King Canute of medieval legend proved, no one has the power to hold back the tides.
But in Oakland’s case, port leaders have been looking beyond the hard-edged urban breakwater structures normally used for calming waves and rising waters. Instead, for the past five years, the port has been testing an artificial “island” that it describes as a prototype for an “ecologically productive” floating breakwater.
Known as the Buoyant Ecologies Float Lab—or “Float Lab” for short—the island measures 10 by 15 feet and consists of a fiber-reinforced polymer structure. Float Lab arrived in Oakland in August 2019 and was installed in the port’s shallow water habitat adjacent to Middle Harbor Shoreline Park.
Float Lab has now been moved from the Port of Oakland to the San Francisco Bay, where it will be anchored near Treasure Island, which is appropriately enough an artificial island itself. There, it will continue to host research efforts as ports keep a watchful eye on the changing climate.
The number of shipments of mobile robots will rise from 547,000 units in 2023 to 2.79 million by 2030, as customers expand applications from the current typical use case in warehousing and logistics to new tasks in manufacturing, last-mile delivery, agriculture, and healthcare, according to a report from technology analyst firm ABI.
That steep expansion would add up to a compound annual growth rate (CAGR) of 24.1% by units, and CAGR of 23.6% by revenue, as sales are forecasted to rise from $18 billion to $124 billion by 2030.
“Mobile robots are a very valuable category of robot which have completely transformed warehousing and logistics in recent years,” George Chowdhury, Robotics Industry Analyst at ABI Research, said in a release. “For material handling alone, mobile robots offer enterprises transformative efficiency improvements. Driven by the evolution of supporting technologies such as Simultaneous Localization and Mapping (SLAM), mobile robots can be deployed in diverse and dynamic environments, presenting new horizons to stakeholders and bringing efficiency improvements to under-automated economic sectors such as agriculture and healthcare.”
While warehousing and logistics will remain the primary adopters, other market verticals will see accelerated uptake by the decade's end, the report said. Shipments catering for agriculture deployments will rise from 7,000 to 129,000 per year by 2030; shipments for delivery will grow from 14,000 to 147,000; and public-facing applications will increase as the use of mobile robots within restaurants progress from 6,000 in 2023 to 78,000 shipments in 2030.
According to ABI, that change will occur as other industries begin to benefit from the decreasing costs, greater versatility, and simplified programmability that vendors are bringing to the mobile robot market. Sorted by market, those vendors include MiR, Omron, Otto Motors, and ABB for intralogistics within manufacturing; companies such as Zebra, Locus, and Safelog for marketing; Simbe and Brain Corp for retail; and Starship for last-mile delivery market.
“Mobile robots will remain the most popular form of robot, and shipments will continue to increase across economies as the benefits of augmenting existing business practices with automation become clear to decision-makers,” Chowdhury said. “As trust in Autonomous Mobile Robot (AMR) technologies grows, we will increasingly see mobile robots in public spaces. Hospitals, agriculture, retail stores, and last-mile delivery are all nearing readiness for the mass adoption of mobile robots.”
Retailers are under pressure from threats on two fronts heading into January as they frontload cargo imports in a bid to avoid the potential pain of a resumed East and Gulf coast dockworker strike and of broad tariffs being proposed by the incoming Trump administration, according to a report from the National Retail Federation (NRF) and Hackett Associates.
The report forecasts that the nation’s major container ports are expected to see a continued surge in imports through next spring, as importers rush to beat the impact of a container port strike as soon as January 15 and of tariff hikes as soon as January 20, researchers said.
“Either a strike or new tariffs would be a blow to the economy and retailers are doing what they can to avoid the impact of either for as long as they can,” NRF Vice President for Supply Chain and Customs Policy Jonathan Gold said in a release. “We hope that both can be avoided, but bringing in cargo early is a prudent step to mitigate the impact on our industry, consumers and the nation’s economy. We call on both parties at the ports to return to the table, get a deal done and avoid a strike. And we call on the incoming administration to use tariffs in a strategic manner rather than a broad-based approach impacting everyday consumer goods.”
By the numbers, U.S. ports covered by NRF and Hackett’s “Global Port Tracker” report handled 2.25 million twenty-foot equivalent units (TEUs) in October, although the Port of Miami has yet to report final data. That was down 1.2% from September but up 9.3% year over year.
Ports have not yet reported November’s numbers, but Global Port Tracker projected the month at 2.17 million TEU, up 14.4% year over year. December is forecast at 2.14 million TEU, up 14.3% year over year. That would bring 2024 to 25.6 million TEU, up 14.8% from 2023. In comparison, before the October strike and November’s elections, November had been forecast at 1.91 million TEU and December at 1.88 million TEU, while the total for 2024 was forecast at 24.9 million TEU.
The report provides data and forecasts for the U.S. ports of Los Angeles/Long Beach, Oakland, Seattle and Tacoma on the West Coast; New York/New Jersey, Port of Virginia, Charleston, Savannah, Port Everglades, Miami and Jacksonville on the East Coast, and Houston on the Gulf Coast.