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.
There may finally be a solution to filling one of the least desirable jobs in the warehouse: trailer unloading. The physically demanding position requires workers to swiftly lift and move heavy boxes out of a trailer, which remains exposed to the elements while on the loading dock—an especially daunting task in places like Florida in July or Toronto in January. Such conditions make the process a welcome application for robotic automation, according to just about anyone who has ever run a warehouse, but until recently the prospect of automating it seemed like a still-distant reality. That has changed in 2023, with the commercial launch of automated truck unloading systems by a handful of robotics companies—a feat company leaders and their business partners say may open the door to industrywide change.
“Warehouse [work] is hard, but being assigned to work inside a container is really tough. It’s not an ideal location to have associates,” says Nicolas de Keijser, director of sales for warehouse robotics at Waltham, Massachusetts-basedBoston Dynamics, whose “Stretch” robot has been unloading trucks at aDHL Supply Chain facility since January. “This is a job that associates are happy to [see automated] so they can be reallocated to other areas in the warehouse.”
Brian Gaunt, vice president, accelerated digitalization at DHL Supply Chain, agrees, adding that robotic truck unloading is a game-changer for logistics operations.
“If you think of packages and parcels … our whole supply chain is set up to bring those items into a warehouse to be processed. So there’s wide applicability [for this technology],” Gaunt explains, noting that DHL Supply Chain operates 500 sites in North America alone. “Being able to automate this process is critical to us.”
Technology advances, and a whole lot of trial and error, are behind the DHL/Boston Dynamics story as well as that of Cambridge, Massachusetts-basedPickle Robot, which announced the commercial availability of its unloading robots in March. The technology is helping to improve productivity in the warehouse while also addressing often sky-high labor turnover on the loading dock. Here’s how.
FROM PILOT TO PRODUCTION
DHL Supply Chain and Boston Dynamics started collaborating on warehouse robotics about four years ago as part of a larger effort to automate DHL’s operations. The contract logistics services provider works with a range of technology partners to automate many aspects of its warehouses and fulfillment centers, and has invested about $430 million in automated technology, largely in North America.
“DHL was the first customer willing to take a chance on the first prototype that we had, [which] we built to do work in the warehouse with boxes,” de Keijser explains. “This partnership allowed us to start validating some of our ideas about how to move boxes around.”
Those early efforts led to DHL Supply Chain’s $15 million investment in robots from Boston Dynamics in 2022, an effort that culminated in a handful of truck unloading applications at DHL sites nationwide this year. “Stretch” robots—which consist of a robotic arm, suction grip, and mobile base—unload cartons of product coming into the facilities daily. Using the suction gripper, the robots take packages from the trailer, grabbing them from the top or side, and place them on a flexible conveyor for delivery into the building. The boxes are then scanned into inventory and placed into storage according to the particular facility’s material handling processes. The battery-powered robots work through a full shift on a single charge, unloading up to 500 boxes per hour. One of DHL Supply Chain’s most recent applications is at a dedicated fulfillment facility for workwear company Carhartt, in Canal Winchester, Ohio. The system is in testing there now, with deployment planned for later in the year.
A combination of sensors, cameras, controls, and artificial intelligence (AI) directs the robot’s movements. Its flexible robotic arm can reach boxes throughout the trailer, adjusting to handle boxes of different shapes and sizes (the robots can handle cartons weighing up to 50 pounds), and even reacting to configuration changes: Stretch can recover fallen boxes or easily grasp those that have shifted during unloading, just as a human worker could.
“The robot needs to understand its environment at any given point and then act accordingly,” de Keijser says. “It will see [a fallen box] and [respond] by moving around and picking up whatever fell. There is no interrupted flow, and no human assistance [is needed].”
Two months into the project, the solution was yielding about a 40% increase in efficiency at the Carhartt facility, with Stretch unloading at speeds faster than manual operations, according to Gaunt. Even more importantly, workers have been freed from the tough physical work of trailer unloading and can now perform more value-added activities such as picking and putaway. Some associates have moved on to new tasks such as programming and troubleshooting Stretch as well as other robotic solutions at work in the facility. What’s more, productivity improvements are expected to grow as Stretch continues to learn and improve: de Keijser says he expects the system to eventually unload up to 800 boxes per hour.
Gaunt described the project as transformative, both for DHL Supply Chain and the broader logistics industry.
“It’s nice to see something on a multiyear journey come to fruition,” he explains. “We’re at a state in the supply chain where technology and vision systems have advanced to a point that’s allowing us to take the next iterative step in automation. Previously, we had [cleared a number of hurdles], but advances in AI over the last four to five years have allowed us to take on challenges like this. Industrywise, it’s exciting.”
PROBLEM SOLVED
Leaders at Pickle Robot Co. agree that advanced technology—and easier access to it as costs come down—is what has made automated truck unloading a reality in 2023. Pickle was founded four years ago by a trio of Massachusetts Institute of Technology (MIT) graduates looking to apply robotics to supply chain processes. The company’s name is a play on the word “pick”—the robots are performing picking tasks in the truck-trailer or shipping container—as well as a nod to another food-named company, Apple Computer, whose founders Pickle’s creators admire, according to Pete Blair, the company’s vice president of marketing and sales.
“Most importantly, [the name] is intended to make you smile and make us approachable,” Blair says, pointing to workers’ concerns when they learn that robots are coming to their warehouse. “When they hear there is a Pickle robot coming, that usually puts people at ease. I mean, who doesn't want to see what a Pickle robot is?”
The bright green robot consists of a commercially available robotic picking arm and a company-built base as well as sensors, cameras, and “a ton of software” that allow it to move boxes of different shapes and sizes out of a trailer. The robot grips boxes high up in the container from the top or front of the box, handling up to 60 pounds in any orientation. For those boxes that are positioned lower—either on the floor or toward the bottom of the trailer—the robots can move boxes of 100 pounds or more by gripping them from the top, Blair says. In either case, the robots place the unloaded boxes on a flexible conveyor system that carries them into the warehouse, where they are entered into inventory. He says the robot does the equivalent work of two warehouse associates.
Blair touts the independence of the system as a game-changer as well; because the robots are not tied into a company’s warehouse management system (WMS) or enterprise resource planning (ERP) system, the system can be quickly installed and set to work.
“What we’re doing is handling the physical unload; the inventory upload is a process right after us,” he explains. “Our system does not have to [integrate] with the warehousing systems.”
This makes Pickle robots—like Boston Dynamics’ Stretch, which is similarly independent of a company’s WMS or ERP system—even more of a boon to companies looking to automate processes on the loading dock. Blair cites a roughly 43% average turnover rate for warehousing jobs nationwide, a statistic he says can run as high as 100% for container unloading, according to some Pickle customers. Automating the process solves a huge labor problem, quickly.
“Ask someone who does importing. It’s not uncommon for people to show up in the morning and [not return] after lunchtime,” he says, citing temperature extremes and the repetitive stress of moving box after box of heavy goods. “It’s an unforgiving job. This [technology] is something people want, and it’s applicable to thousands of dock doors across the country.”
Pickle officially announced the commercial availability of its robots this past March, during the ProMat material handling show in Chicago. At the time, the developer had a handful of implementations up and running across the country, one of which was for a food importer called United Exchange Corp. (UEC), based in Los Angeles. Pickle robots are unloading cargo containers that UEC imports from Asia. The company has been using the Pickle system since last summer, according to Blair, who says he expects business to accelerate as word spreads that truck unloading robots have finally arrived.
“When people hear a robot is coming, there is always concern,” Blair says. “But when we get there and talk to people on the dock, so far, universally, the response has been ‘Thank God, I don’t have to get into that container anymore.’ This is a huge opportunity.”
Mujin launches TruckBot unloader
Another company that’s out front in the race to deliver robotic truck unloading solutions is intelligent automation company Mujin, which launched its TruckBot system at the recent ProMat material handling show in Chicago. The robot’s unconventional format is a key differentiator in the marketplace, allowing TruckBot to unload boxes from floor-loaded containers at a rate of 1,000 cases per hour, according to Ross Diankov, Mujin’s CEO.
“TruckBot is a game-changer for warehouses looking to streamline their operations and reduce costs,” Diankov said in a statement announcing the product’s launch. “The dock door is the largest bottleneck in our supply chain, and unloading trailers is backbreaking work. TruckBot will improve safety and effectiveness for warehouses across the globe while unlocking the possibility for true fully autonomous operations.”
Unlike other unloading solutions that utilize a robotic arm, TruckBot combines its grippers, sensors, software, and controller with something found on many loading docks: a telescoping conveyor. The robot attaches to a standard telescoping conveyor and can reach as far as 52 feet into the truck trailer or shipping container, handling boxes that weigh up to 50 pounds. TruckBot grasps the boxes from the front and seamlessly transfers them to the conveyor, which delivers the packages into the warehouse.
The system is powered by the company’s MujinController, a robotic platform that allows it to work autonomously, planning the most efficient paths and movements while minimizing idle time and maximizing productivity, according to the company.
“The MujinController software is what makes TruckBot truly special,” Diankov said. “It enables the robot to operate independently, without the need for manual intervention or oversight, and to make smart decisions about how to optimize its movements and picking strategies.”
TruckBot can integrate with other technologies in the warehouse as well. During a ProMat demonstration, the robot worked in tandem with a Mujin palletizing robot to sort the unloaded cases to pallets for storage, for example.
Robotic truck unloading will be revolutionary for the industry, according to Diankov, who refers to Mujin’s solution as “the innovation the industry has been waiting for.”
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%."
IT projects can be daunting, especially when the project involves upgrading a warehouse management system (WMS) to support an expansive network of warehousing and logistics facilities. Global third-party logistics service provider (3PL) CJ Logistics experienced this first-hand recently, embarking on a WMS selection process that would both upgrade performance and enhance security for its U.S. business network.
The company was operating on three different platforms across more than 35 warehouse facilities and wanted to pare that down to help standardize operations, optimize costs, and make it easier to scale the business, according to CIO Sean Moore.
Moore and his team started the WMS selection process in late 2023, working with supply chain consulting firm Alpine Supply Chain Solutions to identify challenges, needs, and goals, and then to select and implement the new WMS. Roughly a year later, the 3PL was up and running on a system from Körber Supply Chain—and planning for growth.
SECURING A NEW SOLUTION
Leaders from both companies explain that a robust WMS is crucial for a 3PL's success, as it acts as a centralized platform that allows seamless coordination of activities such as inventory management, order fulfillment, and transportation planning. The right solution allows the company to optimize warehouse operations by automating tasks, managing inventory levels, and ensuring efficient space utilization while helping to boost order processing volumes, reduce errors, and cut operational costs.
CJ Logistics had another key criterion: ensuring data security for its wide and varied array of clients, many of whom rely on the 3PL to fill e-commerce orders for consumers. Those clients wanted assurance that consumers' personally identifying information—including names, addresses, and phone numbers—was protected against cybersecurity breeches when flowing through the 3PL's system. For CJ Logistics, that meant finding a WMS provider whose software was certified to the appropriate security standards.
"That's becoming [an assurance] that our customers want to see," Moore explains, adding that many customers wanted to know that CJ Logistics' systems were SOC 2 compliant, meaning they had met a standard developed by the American Institute of CPAs for protecting sensitive customer data from unauthorized access, security incidents, and other vulnerabilities. "Everybody wants that level of security. So you want to make sure the system is secure … and not susceptible to ransomware.
"It was a critical requirement for us."
That security requirement was a key consideration during all phases of the WMS selection process, according to Michael Wohlwend, managing principal at Alpine Supply Chain Solutions.
"It was in the RFP [request for proposal], then in demo, [and] then once we got to the vendor of choice, we had a deep-dive discovery call to understand what [security] they have in place and their plan moving forward," he explains.
Ultimately, CJ Logistics implemented Körber's Warehouse Advantage, a cloud-based system designed for multiclient operations that supports all of the 3PL's needs, including its security requirements.
GOING LIVE
When it came time to implement the software, Moore and his team chose to start with a brand-new cold chain facility that the 3PL was building in Gainesville, Georgia. The 270,000-square-foot facility opened this past November and immediately went live running on the Körber WMS.
Moore and Wohlwend explain that both the nature of the cold chain business and the greenfield construction made the facility the perfect place to launch the new software: CJ Logistics would be adding customers at a staggered rate, expanding its cold storage presence in the Southeast and capitalizing on the location's proximity to major highways and railways. The facility is also adjacent to the future Northeast Georgia Inland Port, which will provide a direct link to the Port of Savannah.
"We signed a 15-year lease for the building," Moore says. "When you sign a long-term lease … you want your future-state software in place. That was one of the key [reasons] we started there.
"Also, this facility was going to bring on one customer after another at a metered rate. So [there was] some risk reduction as well."
Wohlwend adds: "The facility plus risk reduction plus the new business [element]—all made it a good starting point."
The early benefits of the WMS include ease of use and easy onboarding of clients, according to Moore, who says the plan is to convert additional CJ Logistics facilities to the new system in 2025.
"The software is very easy to use … our employees are saying they really like the user interface and that you can find information very easily," Moore says, touting the partnership with Alpine and Körber as key to making the project a success. "We are on deck to add at least four facilities at a minimum [this year]."