Peter Bradley is an award-winning career journalist with more than three decades of experience in both newspapers and national business magazines. His credentials include seven years as the transportation and supply chain editor at Purchasing Magazine and six years as the chief editor of Logistics Management.
Can you answer these questions: Exactly how much do you spend on your lift truck fleet each year? How much do you spend on each truck? In an eight-hour shift, how much time does each truck actually spend moving product? Are trucks sitting idle in your facilities "just in case"?
If you can't come up with the answers, you're not alone. Specialists in lift truck fleet management report that a surprising number of DC managers are unable to provide a detailed accounting of their fleet costs and usage patterns. Yet knowing the answers to those questions is especially important these days, and for a very simple reason: Managers are under intense pressure to control their industrial truck fleet expenses. But in order to manage these costs, they first have to know what they're spending.
It comes as no surprise, then, that customers are turning to providers of fleet management services to help them make the most of their assets. Sales of new trucks may be down, but vendors say they're seeing an upswing in demand for systems and services that collect and analyze lift truck data.
"We know that buyers are not buying, but that doesn't mean purchasing [executives] and CFOs aren't looking at what they're spending," observes Michael McKean, manager of fleet marketing and sales for lift truck maker Toyota Material Handling USA.
This pressure from the top has led companies that previously resisted investing in fleet management tools to reconsider, says Scot Aitcheson, director of fleet management for Yale Materials Handling, which manufactures a broad line of industrial trucks. "I can tell you that consistently, customers ... want to be engaged, and they want visibility. They need to have data. They are really making what they do more scientific."
These days, more and more DC and fleet managers are feeling the heat, vendors say. "With the economy the way it is, a lot of warehouses and DCs, especially in the home improvement and retail sectors, have felt a lot of pressure to cut down on overhead, reduce maintenance costs, and reduce fleet costs overall," says Joe LaFergola, manager of business and information solutions for lift truck manufacturer Raymond Corp.
Shock and audit
The first step in any cost-cutting initiative is to gather detailed data across all facets of the operation. There are two ways to approach this task. One option is to bring in fleet management specialists, either independent consultants or experts affiliated with industrial truck dealers. The other is for DCs to take on the task themselves, using vehicle management systems that collect and analyze operating data. These systems typically include a device installed on each truck that captures information and transmits it to fleet management software, which then produces a variety of reports. (For more on these systems, see "remote control," September 2008.)
Typically, data analysis begins with on-site audits that track truck operations over 30 to 90 days—long enough to provide an accurate picture of how individual trucks are being used and how the fleet as a whole is performing. The object is to create a baseline against which specific savings can be measured.
With accurate data in hand, managers can identify areas that are ripe for improvement. They can determine which trucks have the highest maintenance costs, figure out if the fleet is correctly sized and if the equipment is appropriate for the job, measure drivers' productivity, and track causes of avoidable maintenance and additional costs (like damage caused by operators to product, racks, and the trucks themselves).
The results of these audits sometimes come as a shock to managers, vendors say. In a white paper titled 5 Ways to Reduce Costs of Your Industrial Vehicle Fleet, I.D. Systems, a developer of vehicle management systems, cites data showing that in an eight-hour shift, a truck typically is in motion for just two hours and is moving a load for only one.
And that's just the tip of the iceberg. Aitcheson says—and other fleet specialists agree—that it's not uncommon for these audits to show that a given fleet is 20 percent (or more) larger than necessary. Nor is it unusual to find short-term rental vehicles on the floor for months at a time. Aitcheson even tells of one customer that spent $27,000 in a single year on maintenance for a seven-year-old truck.
Such ignorance is certainly not bliss. In fact, it's downright expensive, says Stan Garrison, manager of fleet sales for Hyster Co. "There's no point in hanging onto a truck past its useful economic life," he says. "That drives up ownership costs and productivity costs because of downtime."
One step at a time
Collecting the information needed to analyze fleet costs is one thing. Using the data to make changes in fleet operations and driver behavior is quite another. Despite the obvious benefits, it's not always easy to get everyone on board. McKean says that when it comes to "selling" a fleet downsizing program to operations managers, the key is having accurate performance data in hand. "If we can prove utilization is high and the fleet is up and running every day, then perhaps some trucks can go away," he says.
An effective cost-cutting program does not necessarily require jumping in with both feet. There's nothing wrong with taking it one step at a time, says Aitcheson. "For a company that wants to pursue [a fleet cost-reduction program] but does not want to commit to all the processes and procedures, it could be as simple as a national preventive maintenance program," he says.
Garrison is of the same mind. He notes that getting rid of older trucks in stages can help overcome managers' fears that a downsizing program will disrupt day-to-day operations. "One of the most difficult things we [deal with] is to get a buy-in from operations," he says. "The floor managers' job is to get stuff out the door, and it takes a little bit of time to earn their trust and let them know we're not just going to leave them hanging out there."
Editor's note: For more information on conducting a lift truck fleet audit, see "lean fleets," February 2009.
As U.S. small and medium-sized enterprises (SMEs) face an uncertain business landscape in 2025, a substantial majority (67%) expect positive growth in the new year compared to 2024, according to a survey from DHL.
However, the survey also showed that businesses could face a rocky road to reach that goal, as they navigate a complex environment of regulatory/policy shifts and global market volatility. Both those issues were cited as top challenges by 36% of respondents, followed by staffing/talent retention (11%) and digital threats and cyber attacks (2%).
Against that backdrop, SMEs said that the biggest opportunity for growth in 2025 lies in expanding into new markets (40%), followed by economic improvements (31%) and implementing new technologies (14%).
As the U.S. prepares for a broad shift in political leadership in Washington after a contentious election, the SMEs in DHL’s survey were likely split evenly on their opinion about the impact of regulatory and policy changes. A plurality of 40% were on the fence (uncertain, still evaluating), followed by 24% who believe regulatory changes could negatively impact growth, 20% who see these changes as having a positive impact, and 16% predicting no impact on growth at all.
That uncertainty also triggered a split when respondents were asked how they planned to adjust their strategy in 2025 in response to changes in the policy or regulatory landscape. The largest portion (38%) of SMEs said they remained uncertain or still evaluating, followed by 30% who will make minor adjustments, 19% will maintain their current approach, and 13% who were willing to significantly adjust their approach.
The overall national industrial real estate vacancy rate edged higher in the fourth quarter, although it still remains well below pre-pandemic levels, according to an analysis by Cushman & Wakefield.
Vacancy rates shrunk during the pandemic to historically low levels as e-commerce sales—and demand for warehouse space—boomed in response to massive numbers of people working and living from home. That frantic pace is now cooling off but real estate demand remains elevated from a long-term perspective.
“We've witnessed an uptick among firms looking to lease larger buildings to support their omnichannel fulfillment strategies and maintain inventory for their e-commerce, wholesale, and retail stock. This trend is not just about space, but about efficiency and customer satisfaction,” Jason Tolliver, President, Logistics & Industrial Services, said in a release. “Meanwhile, we're also seeing a flurry of activity to support forward-deployed stock models, a strategy that keeps products closer to the market they serve and where customers order them, promising quicker deliveries and happier customers.“
The latest figures show that industrial vacancy is likely nearing its peak for this cooling cycle in the coming quarters, Cushman & Wakefield analysts said.
Compared to the third quarter, the vacancy rate climbed 20 basis points to 6.7%, but that level was still 30 basis points below the 10-year, pre-pandemic average. Likewise, overall net absorption in the fourth quarter—a term for the amount of newly developed property leased by clients—measured 36.8 million square feet, up from the 33.3 million square feet recorded in the third quarter, but down 20% on a year-over-year basis.
In step with those statistics, real estate developers slowed their plans to erect more buildings. New construction deliveries continued to decelerate for the second straight quarter. Just 85.3 million square feet of new industrial product was completed in the fourth quarter, down 8% quarter-over-quarter and 48% versus one year ago.
Likewise, only four geographic markets saw more than 20 million square feet of completions year-to-date, compared to 10 markets in 2023. Meanwhile, as construction starts remained tempered overall, the under-development pipeline has continued to thin out, dropping by 36% annually to its lowest level (290.5 million square feet) since the third quarter of 2018.
Despite the dip in demand last quarter, the market for industrial space remains relatively healthy, Cushman & Wakefield said.
“After a year of hesitancy, logistics is entering a new, sustained growth phase,” Tolliver said. “Corporate capital is being deployed to optimize supply chains, diversify networks, and minimize potential risks. What's particularly encouraging is the proactive approach of retailers, wholesalers, and 3PLs, who are not just reacting to the market, but shaping it. 2025 will be a year characterized by this bias for action.”
The three companies say the deal will allow clients to both define ideal set-ups for new warehouses and to continuously enhance existing facilities with Mega, an Nvidia Omniverse blueprint for large-scale industrial digital twins. The strategy includes a digital twin powered by physical AI – AI models that embody principles and qualities of the physical world – to improve the performance of intelligent warehouses that operate with automated forklifts, smart cameras and automation and robotics solutions.
The partners’ approach will take advantage of digital twins to plan warehouses and train robots, they said. “Future warehouses will function like massive autonomous robots, orchestrating fleets of robots within them,” Jensen Huang, founder and CEO of Nvidia, said in a release. “By integrating Omniverse and Mega into their solutions, Kion and Accenture can dramatically accelerate the development of industrial AI and autonomy for the world’s distribution and logistics ecosystem.”
Kion said it will use Nvidia’s technology to provide digital twins of warehouses that allows facility operators to design the most efficient and safe warehouse configuration without interrupting operations for testing. That includes optimizing the number of robots, workers, and automation equipment. The digital twin provides a testing ground for all aspects of warehouse operations, including facility layouts, the behavior of robot fleets, and the optimal number of workers and intelligent vehicles, the company said.
In that approach, the digital twin doesn’t stop at simulating and testing configurations, but it also trains the warehouse robots to handle changing conditions such as demand, inventory fluctuation, and layout changes. Integrated with Kion’s warehouse management software (WMS), the digital twin assigns tasks like moving goods from buffer zones to storage locations to virtual robots. And powered by advanced AI, the virtual robots plan, execute, and refine these tasks in a continuous loop, simulating and ultimately optimizing real-world operations with infinite scenarios, Kion said.
Following the deal, Palm Harbor, Florida-based FreightCenter’s customers will gain access to BlueGrace’s unified transportation management system, BlueShip TMS, enabling freight management across various shipping modes. They can also use BlueGrace’s truckload and less-than-truckload (LTL) services and its EVOS load optimization tools, stemming from another acquisition BlueGrace did in 2024.
According to Tampa, Florida-based BlueGrace, the acquisition aligns with its mission to deliver simplified logistics solutions for all size businesses.
Terms of the deal were not disclosed, but the firms said that FreightCenter will continue to operate as an independent business under its current brand, in order to ensure continuity for its customers and partners.
BlueGrace is held by the private equity firm Warburg Pincus. It operates from nine offices located in transportation hubs across the U.S. and Mexico, serving over 10,000 customers annually through its BlueShip technology platform that offers connectivity with more than 250,000 carrier suppliers.
Under terms of the deal, Sick and Endress+Hauser will each hold 50% of a joint venture called "Endress+Hauser SICK GmbH+Co. KG," which will strengthen the development and production of analyzer and gas flow meter technologies. According to Sick, its gas flow meters make it possible to switch to low-emission and non-fossil energy sources, for example, and the process analyzers allow reliable monitoring of emissions.
As part of the partnership, the product solutions manufactured together will now be marketed by Endress+Hauser, allowing customers to use a broader product portfolio distributed from a single source via that company’s global sales centers.
Under terms of the contract between the two companies—which was signed in the summer of 2024— around 800 Sick employees located in 42 countries will transfer to Endress+Hauser, including workers in the global sales and service units of Sick’s “Cleaner Industries” division.
“This partnership is a perfect match,” Peter Selders, CEO of the Endress+Hauser Group, said in a release. “It creates new opportunities for growth and development, particularly in the sustainable transformation of the process industry. By joining forces, we offer added value to our customers. Our combined efforts will make us faster and ultimately more successful than if we acted alone. In this case, one and one equals more than two.”
According to Sick, the move means that its current customers will continue to find familiar Sick contacts available at Endress+Hauser for consulting, sales, and service of process automation solutions. The company says this approach allows it to focus on its core business of factory and logistics automation to meet global demand for automation and digitalization.
Sick says its core business has always been in factory and logistics automation, which accounts for more than 80% of sales, and this area remains unaffected by the new joint venture. In Sick’s view, automation is crucial for industrial companies to secure their productivity despite limited resources. And Sick’s sensor solutions are a critical part of industrial automation, which increases productivity through artificial intelligence and the digital networking of production and supply chains.