Victoria Kickham started her career as a newspaper reporter in the Boston area before moving into B2B journalism. She has covered manufacturing, distribution and supply chain issues for a variety of publications in the industrial and electronics sectors, and now writes about everything from forklift batteries to omnichannel business trends for DC Velocity.
A near full-employment economy is making it difficult to find warehouse help and driving more companies toward automated solutions that can ease the labor crunch and speed operations throughout the facility. Such solutions are becoming increasingly common for storing and retrieving inventory as well as picking and packing orders, but there’s one area of the warehouse where automated equipment is still pretty scarce: the loading dock.
The main reason? An inconsistent environment. Trucks and trailers come in different shapes and sizes, and their contents often vary in weight, shape, and size as well. On top of that, items may have been loaded inconsistently, making it even more difficult to locate and extract specific boxes or pallets. It’s tough to apply machine-based solutions in such a variable environment, according to Tim Criswell, senior vice president of innovation and technology development for Daifuku Wynright Corp., which makes and installs material handling solutions, including robotic truck loading and unloading equipment.
“When you’re trying to automate [operations in] trailers specifically, there’s much more variety in the location of the products you’re trying to move and [in] their size and shape and position within the trailer,” Criswell says, explaining the difficulty of developing technology that can grasp and move a variety of items without damaging articles around them or bumping into trailer walls, for instance. “All those things are easy for a human to do, [but it’s] more challenging to automate that process.”
Easy for humans to do, yes, but not so enjoyable in practice. Loading or unloading hundreds of heavy boxes, often in extreme temperatures, makes the loading dock an area of high employee turnover for many operations—and a prime driver of what Criswell and others describe as a steadily growing interest in robotic truck loading and unloading solutions. DC Velocity asked industry experts to weigh in on where the technology stands today and what may be holding it back from widespread adoption. They identified three key challenges.
CHALLENGE #1: VARIETY
The deployment of automated truck loading and unloading equipment remains fairly limited, largely because of the need to accommodate a wide variety of items in a changing environment. As Criswell explains, the technology thus far has been best suited to operations that handle a high volume of a limited number of stock-keeping units (SKUs), where the items are loaded on pallets or in similarly sized cases and boxes. The most common solutions involve a robotic arm and conveyor operating inside the trailer. In loading applications, boxes and cases are fed into the trailer on the conveyor; a robotic arm at the end of the conveyor picks up the boxes individually and stacks them systematically from back to front. Unloading works much the same way, with a robotic arm picking up individual cases and/or boxes and depositing them on an outbound conveyor. Solutions are customized to meet specific needs and loading/unloading environments.
The method works well for high-volume operations than can justify the steep cost of the technology—including cargo container import operations, which are pretty much the “sweet spot,” Criswell says—but not so well in applications that call for unloading a large variety of SKUs. That’s why today’s challenge in developing truck loading and unloading solutions lies in refining the technology to create an off-the-shelf version that can handle a more diverse product mix. The key to that—especially for unloading applications—is utilizing today’s 3D vision technology, which allows engineers to program equipment that can “see” into the trailer and adjust its grasping and retrieval mechanisms to fit the specific application.
CHALLENGE #2: FRAGILITY
Companies are beginning to make headway on new loading and unloading methods that can address the varied conditions on the loading dock. One of the newest trends involves technology that loads and unloads boxes quickly, though not necessarily gently. In unloading applications, for example, such solutions have a robotic arm that incorporates vacuum technology that can quickly “grab and toss” items onto an outbound conveyor.
The process increases the number and variety of items a system can handle and boosts throughput, allowing the technology to be applied to more unloading situations and making the economics more attractive to customers, Criswell explains. But it’s hardly a universal solution. While such systems work well in operations that handle relatively sturdy items—including parcel environments, where robust packaging makes it possible to grab and toss items—they’re not well suited to operations that handle fragile products, like cases of wine or boxes of glassware.
“The challenge is that it can damage products because you’re not identifying them and being careful to pick up a case at a time,” Criswell says. “You’re grabbing what you can and letting it fall, so, depending on the product, there’s a possibility of damage.”
Such challenges illustrate the difficulty—though not the impossibility—of applying robotic automation to the loading dock, adds Joe Zoghzoghy, chief technology officer for Bastian Solutions, a material handling systems integrator that also develops robotic truck loading and unloading equipment.
“[Robotic loading and unloading] is not a solution that you can provide right away to customers because it’s a very complicated setup,” he says, emphasizing the need to tailor solutions to different clients and their varying requirements. “[But] a lot of people are trying to figure it out and get it to a point where it can be scaled up. … There are a lot of challenges, but it’s only a matter of time.”
The fast pace of advancing technology is helping to move the process forward. As technological capabilities expand and costs come down, designers and engineers have a wider variety of tools at their disposal and can create more flexible, affordable solutions, Zoghzoghy adds.
CHALLENGE #3: ROI
As Zoghzoghy notes, cost still remains the biggest obstacle to widespread adoption of automated truck loading and unloading solutions. Although implementation costs can vary widely depending on a company’s needs, experts warn that the outlay can be considerable. Nonetheless, demand for such solutions is only going to increase.
Statistics on the warehouse automation market in general bear this out, with some projections showing the overall market for automation will more than double by 2025—reaching $27 billion compared with $13 billion in 2018. What’s more, the market for collaborative robots—those that work alongside humans—is set to increase to $5.6 billion in 2027 from $550 million in 2018, according to research firm Interact Analysis, which says the majority of that growth will be driven by the logistics sector. Today, material handling, assembly, and pick-and-place applications of all kinds account for about three-quarters of the collaborative robot market, the company said in a 2019 report.
It only makes sense that the loading dock will eventually see its fair share of that investment.
“The trend is that technology is getting better and more cost-effective, the labor shortage is making demand from customers greater, and at some point, those lines cross and the idea is that it becomes more broadly used in the market,” Criswell says.
Zoghzoghy agrees.
“I definitely see this type of robotic solution becoming more common on the [loading] dock over the next few years. But I don’t think it will be overnight; it will be a process,” he says. “A lot of people are excited to see this type of technology within their hands, and we are working hard to get it out there.”
The Port of Oakland has been awarded $50 million from the U.S. Department of Transportation’s Maritime Administration (MARAD) to modernize wharves and terminal infrastructure at its Outer Harbor facility, the port said today.
Those upgrades would enable the Outer Harbor to accommodate Ultra Large Container Vessels (ULCVs), which are now a regular part of the shipping fleet calling on West Coast ports. Each of these ships has a handling capacity of up to 24,000 TEUs (20-foot containers) but are currently restricted at portions of Oakland’s Outer Harbor by aging wharves which were originally designed for smaller ships.
According to the port, those changes will let it handle newer, larger vessels, which are more efficient, cost effective, and environmentally cleaner to operate than older ships. Specific investments for the project will include: wharf strengthening, structural repairs, replacing container crane rails, adding support piles, strengthening support beams, and replacing electrical bus bar system to accommodate larger ship-to-shore cranes.
Commercial fleet operators are steadily increasing their use of GPS fleet tracking, in-cab video solutions, and predictive analytics, driven by rising costs, evolving regulations, and competitive pressures, according to an industry report from Verizon Connect.
Those conclusions come from the company’s fifth annual “Fleet Technology Trends Report,” conducted in partnership with Bobit Business Media, and based on responses from 543 fleet management professionals.
The study showed that for five consecutive years, at least four out of five respondents have reported using at least one form of fleet technology, said Atlanta-based Verizon Connect, which provides fleet and mobile workforce management software platforms, embedded OEM hardware, and a connected vehicle device called Hum by Verizon.
The most commonly used of those technologies is GPS fleet tracking, with 69% of fleets across industries reporting its use, the survey showed. Of those users, 72% find it extremely or very beneficial, citing improved efficiency (62%) and a reduction in harsh driving/speeding events (49%).
Respondents also reported a focus on safety, with 57% of respondents citing improved driver safety as a key benefit of GPS fleet tracking. And 68% of users said in-cab video solutions are extremely or very beneficial. Together, those technologies help reduce distracted driving incidents, improve coaching sessions, and help reduce accident and insurance costs, Verizon Connect said.
Looking at the future, fleet management software is evolving to meet emerging challenges, including sustainability and electrification, the company said. "The findings from this year's Fleet Technology Trends Report highlight a strong commitment across industries to embracing fleet technology, with GPS tracking and in-cab video solutions consistently delivering measurable results,” Peter Mitchell, General Manager, Verizon Connect, said in a release. “As fleets face rising costs and increased regulatory pressures, these technologies are proving to be indispensable in helping organizations optimize their operations, reduce expenses, and navigate the path toward a more sustainable future.”
Businesses engaged in international trade face three major supply chain hurdles as they head into 2025: the disruptions caused by Chinese New Year (CNY), the looming threat of potential tariffs on foreign-made products that could be imposed by the incoming Trump Administration, and the unresolved contract negotiations between the International Longshoremen’s Association (ILA) and the U.S. Maritime Alliance (USMX), according to an analysis from trucking and logistics provider Averitt.
Each of those factors could lead to significant shipping delays, production slowdowns, and increased costs, Averitt said.
First, Chinese New Year 2025 begins on January 29, prompting factories across China and other regions to shut down for weeks, typically causing production to halt and freight demand to skyrocket. The ripple effects can range from increased shipping costs to extended lead times, disrupting even the most well-planned operations. To prepare for that event, shippers should place orders early, build inventory buffers, secure freight space in advance, diversify shipping modes, and communicate with logistics providers, Averitt said.
Second, new or increased tariffs on foreign-made goods could drive up the cost of imports, disrupt established supply chains, and create uncertainty in the marketplace. In turn, shippers may face freight rate volatility and capacity constraints as businesses rush to stockpile inventory ahead of tariff deadlines. To navigate these challenges, shippers should prepare advance shipments and inventory stockpiling, diversity sourcing, negotiate supplier agreements, explore domestic production, and leverage financial strategies.
Third, unresolved contract negotiations between the ILA and the USMX will come to a head by January 15, when the current contract expires. Labor action or strikes could cause severe disruptions at East and Gulf Coast ports, triggering widespread delays and bottlenecks across the supply chain. To prepare for the worst, shippers should adopt a similar strategy to the other potential January threats: collaborate early, secure freight, diversify supply chains, and monitor policy changes.
According to Averitt, companies can cushion the impact of all three challenges by deploying a seamless, end-to-end solution covering the entire path from customs clearance to final-mile delivery. That strategy can help businesses to store inventory closer to their customers, mitigate delays, and reduce costs associated with supply chain disruptions. And combined with proactive communication and real-time visibility tools, the approach allows companies to maintain control and keep their supply chains resilient in the face of global uncertainties, Averitt said.
Bloomington, Indiana-based FTR said its Trucking Conditions Index declined in September to -2.47 from -1.39 in August as weakness in the principal freight dynamics – freight rates, utilization, and volume – offset lower fuel costs and slightly less unfavorable financing costs.
Those negative numbers are nothing new—the TCI has been positive only twice – in May and June of this year – since April 2022, but the group’s current forecast still envisions consistently positive readings through at least a two-year forecast horizon.
“Aside from a near-term boost mostly related to falling diesel prices, we have not changed our Trucking Conditions Index forecast significantly in the wake of the election,” Avery Vise, FTR’s vice president of trucking, said in a release. “The outlook continues to be more favorable for carriers than what they have experienced for well over two years. Our analysis indicates gradual but steadily rising capacity utilization leading to stronger freight rates in 2025.”
But FTR said its forecast remains unchanged. “Just like everyone else, we’ll be watching closely to see exactly what trade and other economic policies are implemented and over what time frame. Some freight disruptions are likely due to tariffs and other factors, but it is not yet clear that those actions will do more than shift the timing of activity,” Vise said.
The TCI tracks the changes representing five major conditions in the U.S. truck market: freight volumes, freight rates, fleet capacity, fuel prices, and financing costs. Combined into a single index indicating the industry’s overall health, a positive score represents good, optimistic conditions while a negative score shows the inverse.
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.