Survey: Forklift fleet management programs still a work in progress
Our exclusive survey shows that lift truck fleet managers are making a stab at gathering performance data on their vehicles. But they're not always making good use of the info they collect.
James Cooke is a principal analyst with Nucleus Research in Boston, covering supply chain planning software. He was previously the editor of CSCMP?s Supply Chain Quarterly and a staff writer for DC Velocity.
This fall, hardware distributor Emery-Waterhouse plans to abandon paper-record keeping on the forklifts at its Portland, Maine, warehouse in favor of outfitting the trucks with electronic data recorders. The reason? The distributor wants to take a more scientific approach to vehicle replacement in its fleet of 20 or so electric forklifts. "The data recorders will give us statistics on usage and engine performance," says Mark Maloney, Emery-Waterhouse's director of operations. "The software will tell us when the cost per usage is rising and you should replace the truck."
While the benefits of a data-driven approach might seem obvious, it turns out that Emery-Waterhouse is more the exception than the rule when it comes to the way it manages its fleet. A recent DC Velocity reader survey found that only a quarter of the respondents have adopted a formal fleet management program. Formal fleet management programs typically track key data, such as hours of use and repair records, for each vehicle in a fleet. This information allows managers to optimize truck usage and to determine the economic tipping point at which it becomes more cost effective to buy a new truck than repair the old one.
The respondents' go-slow approach runs counter to the advice of lift-truck dealers and independent third parties, both of which advocate the use of fleet management programs. With a formal fleet management program, they contend, users have immediate access to detailed data on all of the vehicles they oversee. Not only can that information help streamline daily operations, they say, but it's also useful for strategic decision-making. For example, data on a vehicle's operating history could prove invaluable to a manager who's trying to determine whether a vehicle has reached the end of its useful life.
All over the map
The spotty use of fleet management programs in North American DCs was just one of the key findings of DC Velocity's lift truck survey, which was conducted earlier this summer. In all, 362 readers representing a broad cross section of industries completed the online questionnaire, which looked at how companies manage the lift trucks in their warehouses and DCs. The largest share of respondents—41 percent—worked in wholesale or industrial distribution, followed by 17 percent from consumer goods manufacturing and 14 percent from the retail sector.
The fleets run by the survey respondents range from the very small—10 or fewer trucks—to the very large (more than 100 vehicles). However, most fell somewhere in between. The majority (57 percent) of the respondents operate fleets with fewer than 25 units, and another 31 percent oversee fleets of between 26 and 100 trucks. Only 12 percent had a fleet of more than 100 trucks.
As for the type of trucks these operations use, electric vehicles topped the list. A full 88 percent of the respondents said their fleet included electric models. Other vehicles mentioned included internal combustion units (used by 26 percent of the respondents) and liquid petroleum-powered vehicles (25 percent). In a sign of the times, 2 percent reported using trucks powered by fuel cells.
Roughly three-fifths of the survey respondents (59 percent) own the trucks they operate, while another 11 percent lease or rent their vehicles. Thirty percent reported using some combination of buying and leasing.
When it comes to maintaining and repairing their trucks, most of the survey respondents have chosen the outsourcing route. Nearly half the respondents (44 percent) have their vehicles serviced by dealers, while 27 percent use third parties. Another 27 percent reported that they used some combination of dealers, in-house operations, and third parties. Only 9 percent—typically those with the largest fleets—said they handled all of their maintenance and repairs in house.
Tracking the trucks
While their approaches to data collection may vary, the majority of respondents do keep some kind of records on the vehicles they use. Eighty-one percent track repair costs for each truck, 80 percent keep tabs on the hours each vehicle is used, and 78 percent maintain logs on the repairs made to each vehicle. In addition, 64 percent keep records on routine maintenance work, like tire and battery replacements. Only 25 percent track equipment utilization by specific drivers. (See Exhibit 1.)
Notably, while four out of five respondents keep some type of records, they don't necessarily pull out these records when they go to make vehicle replacement decisions. Just 59 percent of the survey respondents said that they used the data they collected to determine when to replace a truck.
As for how respondents go about collecting vehicle performance data, methods range from the strictly manual to the highly automated. Predictably, the research found a strong correlation between fleet size and the use of electronic recorders, with the large fleets far more likely to use automated systems than their smaller counterparts (see Exhibit 2). For instance, while two-thirds of operations with 100 or more vehicles had formal fleet management programs in place, only 13 percent of operations with 10 or fewer trucks had adopted such programs.
That's not surprising, says Chris Roy, a national accounts manager at Kenco Material Handling Solutions LLC, a Toyota forklift dealer that also offers a fleet management program. Companies that only operate a few forklifts don't see a need for a formal program because they tend to keep track of their equipment themselves, he says.
For operations with hundreds of trucks to track, however, an automated data collection system can take a lot of the pain out of the process. Better yet, these systems contain report-generation and data crunching capabilities that make analysis a breeze, users say. "Our fleet management program keeps all the data in a format that we can manipulate to gather specific data upon request," wrote one respondent, a vice president of distribution for a retail industry company. "It identifies trucks with high repair costs," said another reader, a warehouse manager in the wholesale distribution sector with a fleet of 100-plus units.
Fleet management experts say the survey findings jibe with their experience. "Owners of large fleets are more apt to have a formal data collection process and outsource maintenance to achieve that objective," says Greg Martin, president of Anaheim, Calif.-based Challenger Enterprises, a third-party provider of fleet management services. He adds that large companies use this service to ensure compliance with Occupational Safety and Health Administration (OSHA) rules that require them to maintain a work-order history for each lift truck.
Matt Logan, director of marketing and product management at Crown Equipment, agrees with Martin that businesses with larger fleets are more apt to invest in fleet optimization tools. "To realize a return, you have to be in a position to make an investment," he says, "and we've been in a period when expenditures for new projects have been significantly limited—if not eliminated. When customers have made this investment, they've told us that our system has increased the profitability of their operation and provided a return on investment."
[Exhibit 1] What fleet managers monitor
Metric
% of users
Repair costs for individual trucks
81
Hours of equipment utilization (by individual truck)
80
Equipment repairs for individual trucks
78
Standard maintenance
64
Equipment utilization by driver
25
Fuel or power usage for individual trucks
12
When it comes to the type of records fleet managers keep, repair costs topped the list.
[Exhibit 2] Who's using fleet management programs?
Size of fleet
Has program
Does not have program
One to 10 trucks
13%
13%
11 to 25 trucks
22%
78%
26 to 50 trucks
23%
77%
51 to 100 trucks
46%
54%
More than 100 trucks
67%
33%
Operators of large forklift fleets are more likely to have formal fleet management programs in place than their smaller counterparts.
Logistics real estate developer Prologis today named a new chief executive, saying the company’s current president, Dan Letter, will succeed CEO and co-founder Hamid Moghadam when he steps down in about a year.
After retiring on January 1, 2026, Moghadam will continue as San Francisco-based Prologis’ executive chairman, providing strategic guidance. According to the company, Moghadam co-founded Prologis’ predecessor, AMB Property Corporation, in 1983. Under his leadership, the company grew from a startup to a global leader, with a successful IPO in 1997 and its merger with ProLogis in 2011.
Letter has been with Prologis since 2004, and before being president served as global head of capital deployment, where he had responsibility for the company’s Investment Committee, deployment pipeline management, and multi-market portfolio acquisitions and dispositions.
Irving F. “Bud” Lyons, lead independent director for Prologis’ Board of Directors, said: “We are deeply grateful for Hamid’s transformative leadership. Hamid’s 40-plus-year tenure—starting as an entrepreneurial co-founder and evolving into the CEO of a major public company—is a rare achievement in today’s corporate world. We are confident that Dan is the right leader to guide Prologis in its next chapter, and this transition underscores the strength and continuity of our leadership team.”
The New York-based industrial artificial intelligence (AI) provider Augury has raised $75 million for its process optimization tools for manufacturers, in a deal that values the company at more than $1 billion, the firm said today.
According to Augury, its goal is deliver a new generation of AI solutions that provide the accuracy and reliability manufacturers need to make AI a trusted partner in every phase of the manufacturing process.
The “series F” venture capital round was led by Lightrock, with participation from several of Augury’s existing investors; Insight Partners, Eclipse, and Qumra Capital as well as Schneider Electric Ventures and Qualcomm Ventures. In addition to securing the new funding, Augury also said it has added Elan Greenberg as Chief Operating Officer.
“Augury is at the forefront of digitalizing equipment maintenance with AI-driven solutions that enhance cost efficiency, sustainability performance, and energy savings,” Ashish (Ash) Puri, Partner at Lightrock, said in a release. “Their predictive maintenance technology, boasting 99.9% failure detection accuracy and a 5-20x ROI when deployed at scale, significantly reduces downtime and energy consumption for its blue-chip clients globally, offering a compelling value proposition.”
The money supports the firm’s approach of "Hybrid Autonomous Mobile Robotics (Hybrid AMRs)," which integrate the intelligence of "Autonomous Mobile Robots (AMRs)" with the precision and structure of "Automated Guided Vehicles (AGVs)."
According to Anscer, it supports the acceleration to Industry 4.0 by ensuring that its autonomous solutions seamlessly integrate with customers’ existing infrastructures to help transform material handling and warehouse automation.
Leading the new U.S. office will be Mark Messina, who was named this week as Anscer’s Managing Director & CEO, Americas. He has been tasked with leading the firm’s expansion by bringing its automation solutions to industries such as manufacturing, logistics, retail, food & beverage, and third-party logistics (3PL).
Supply chains continue to deal with a growing volume of returns following the holiday peak season, and 2024 was no exception. Recent survey data from product information management technology company Akeneo showed that 65% of shoppers made holiday returns this year, with most reporting that their experience played a large role in their reason for doing so.
The survey—which included information from more than 1,000 U.S. consumers gathered in January—provides insight into the main reasons consumers return products, generational differences in return and online shopping behaviors, and the steadily growing influence that sustainability has on consumers.
Among the results, 62% of consumers said that having more accurate product information upfront would reduce their likelihood of making a return, and 59% said they had made a return specifically because the online product description was misleading or inaccurate.
And when it comes to making those returns, 65% of respondents said they would prefer to return in-store, if possible, followed by 22% who said they prefer to ship products back.
“This indicates that consumers are gravitating toward the most sustainable option by reducing additional shipping,” the survey authors said in a statement announcing the findings, adding that 68% of respondents said they are aware of the environmental impact of returns, and 39% said the environmental impact factors into their decision to make a return or exchange.
The authors also said that investing in the product experience and providing reliable product data can help brands reduce returns, increase loyalty, and provide the best customer experience possible alongside profitability.
When asked what products they return the most, 60% of respondents said clothing items. Sizing issues were the number one reason for those returns (58%) followed by conflicting or lack of customer reviews (35%). In addition, 34% cited misleading product images and 29% pointed to inaccurate product information online as reasons for returning items.
More than 60% of respondents said that having more reliable information would reduce the likelihood of making a return.
“Whether customers are shopping directly from a brand website or on the hundreds of e-commerce marketplaces available today [such as Amazon, Walmart, etc.] the product experience must remain consistent, complete and accurate to instill brand trust and loyalty,” the authors said.
When you get the chance to automate your distribution center, take it.
That's exactly what leaders at interior design house
Thibaut Design did when they relocated operations from two New Jersey distribution centers (DCs) into a single facility in Charlotte, North Carolina, in 2019. Moving to an "empty shell of a building," as Thibaut's Michael Fechter describes it, was the perfect time to switch from a manual picking system to an automated one—in this case, one that would be driven by voice-directed technology.
"We were 100% paper-based picking in New Jersey," Fechter, the company's vice president of distribution and technology, explained in a
case study published by Voxware last year. "We knew there was a need for automation, and when we moved to Charlotte, we wanted to implement that technology."
Fechter cites Voxware's promise of simple and easy integration, configuration, use, and training as some of the key reasons Thibaut's leaders chose the system. Since implementing the voice technology, the company has streamlined its fulfillment process and can onboard and cross-train warehouse employees in a fraction of the time it used to take back in New Jersey.
And the results speak for themselves.
"We've seen incredible gains [from a] productivity standpoint," Fechter reports. "A 50% increase from pre-implementation to today."
THE NEED FOR SPEED
Thibaut was founded in 1886 and is the oldest operating wallpaper company in the United States, according to Fechter. The company works with a global network of designers, shipping samples of wallpaper and fabrics around the world.
For the design house's warehouse associates, picking, packing, and shipping thousands of samples every day was a cumbersome, labor-intensive process—and one that was prone to inaccuracy. With its paper-based picking system, mispicks were common—Fechter cites a 2% to 5% mispick rate—which necessitated stationing an extra associate at each pack station to check that orders were accurate before they left the facility.
All that has changed since implementing Voxware's Voice Management Suite (VMS) at the Charlotte DC. The system automates the workflow and guides associates through the picking process via a headset, using voice commands. The hands-free, eyes-free solution allows workers to focus on locating and selecting the right item, with no paper-based lists to check or written instructions to follow.
Thibaut also uses the tech provider's analytics tool, VoxPilot, to monitor work progress, check orders, and keep track of incoming work—managers can see what orders are open, what's in process, and what's completed for the day, for example. And it uses VoxTempo, the system's natural language voice recognition (NLVR) solution, to streamline training. The intuitive app whittles training time down to minutes and gets associates up and working fast—and Thibaut hitting minimum productivity targets within hours, according to Fechter.
EXPECTED RESULTS REALIZED
Key benefits of the project include a reduction in mispicks—which have dropped to zero—and the elimination of those extra quality-control measures Thibaut needed in the New Jersey DCs.
"We've gotten to the point where we don't even measure mispicks today—because there are none," Fechter said in the case study. "Having an extra person at a pack station to [check] every order before we pack [it]—that's been eliminated. Not only is the pick right the first time, but [the order] also gets packed and shipped faster than ever before."
The system has increased inventory accuracy as well. According to Fechter, it's now "well over 99.9%."