Susan Lacefield has been working for supply chain publications since 1999. Before joining DC VELOCITY, she was an associate editor for Supply Chain Management Review and wrote for Logistics Management magazine. She holds a master's degree in English.
If it seems you're hearing a lot about warehouse dimensioning systems these days, there's a reason for that. Now more than ever, warehouses and DCs need to have accurate measurements for all of their products and shipments. For parcel shipments, that dimensional data is crucial for accurately calculating shipping costs and choosing the right carton. For pallet shipments, dimensional data can help users calculate exactly how much room a load will occupy in the trailer. And inside the DC, accurate dimensional data makes it easier to slot items and optimize the facility's storage space.
While you could send an employee out with a tape measure to record the height, width, and length of each product or carton, that approach is time-consuming and error-prone. One small improvement is using an electronic tape measure (e-tape) or digital tape measure that will take and record the measurements for you. But the more products your distribution center deals with, the more sense it makes to use automated dimensioning equipment that requires minimal human involvement.
Before you begin looking at dimensioning equipment, however, it helps to know what your options are and which types of units work best for what applications. In general, dimensioning systems fall into two major categories: systems that are designed to measure pallet loads, and systems designed to measure parcels or individual items. That second category—parcel dimensioners—can be further broken down into two types of units: static tabletop dimensioning systems and in-motion systems that measure items as they pass through a tunnel. What follows is a look at these systems as well as some of their strengths and weaknesses.
DIMENSIONING FOR THE WHOLE PALLET
As its name suggests, a pallet dimensioning system is used to calculate the exact volume of a pallet load before it's placed in a trailer. Typically, these systems are mounted on the ceiling or on a column, says Jason Wiley, business manager of Mettler Toledo, which makes dimensioning equipment. Under this method, the pallet to be measured is transported via forklift to the system, where it is scanned and dimensioned.
Pallet dimensioners are a good fit for trucking companies looking to calculate shipping charges based on the exact volume a load takes up in the truck, not the overall dimensions of a standard pallet, says Justin Headley, marketing manager for the dimensioning system manufacturer CubiScan. They also provide a way for shippers to avoid freight-charge surprises at the end of the month and to collect data that can be valuable in resolving disputes with carriers, he says.
Headley warns, however, that not all pallet dimensioners are created equal. "Do your homework before choosing a vendor," he says. "Make sure they have the technology to 'see' all five sides of the load, can properly scan the entire load for bulges or bumps, and have a software interface that integrates with your shipping software."
For all their strengths, pallet dimensioners also have their weaknesses. Perhaps the biggest downside to using these devices is that the process of picking up, moving, and scanning pallets is a bit cumbersome, says Jack Ampuja, president of Supply Chain Optimizers, a consulting firm that's been involved in numerous packaging optimization projects. "I don't know how many minutes the process takes, but it certainly isn't a five-second deal," he says.
The good news, Ampuja says, is that "in-line" pallet dimensioning systems are on the horizon. He reports that manufacturers are currently testing a couple of different solutions, including one in which laser sensors are placed on the forklift itself to measure the load as it's picked up, and one that captures the load's measurements as a truck drives through a tunnel outfitted with sensors.
DIMENSIONING FOR PARCELS
In contrast to pallet dimensioning systems, parcel dimensioning systems are already available in both static and in-line varieties. The first type, the static dimensioning system, could be considered a "semi-automated" solution. To use this type of machine, an operator places a parcel or item on the dimensioning system, which then measures (and often weighs) the product. The equipment can be stationary—for example, located at a packing station—or placed on a cart and wheeled around the distribution center.
With an in-line/in-motion or dynamic dimensioning system, by contrast, a package or parcel moves down a belt and passes through a tunnel, where its dimensions are captured by either a 3-D camera or laser sensors. These tunnels are usually placed after pick and pack stations and before labeling and shipping stations, says Dan Hanrahan, president of warehouse automation specialist Numina Group.
Both static and in-line dimensioners can be used in DCs at the outbound end to gather dimensional data needed for calculating shipping costs. They can also be used at a facility's inbound end to gather the dimensions of stock-keeping units (SKUs) in order to calculate how much storage space the item will require or determine what size carton to use for shipping.
THE SCOOP ON STATIC
Static dimensioners come in an almost dizzying array of varieties, with different brands providing varying levels of accuracy and requiring varying amounts of labor. With respect to accuracy, for example, some dimensioners can provide a very precise 3-D image of an irregular-shaped item, while others provide more rectilinear dimensions, says Will Crosby, director of marketing for the dimensioning system provider QubeVu. Wiley of Mettler Toledo further advises potential buyers to make sure that any machine they're considering is NTEP (National Type Evaluation Program) certified by the National Conference on Weights and Measures.
Different static dimensioners use different types of sensing technology to take measurements, including laser triangulation, which measures the reflection or displacement of a laser beam; sonic transducer technology, which does the same with sound waves; and optical imaging technology, which often uses 3-D cameras. Some systems may use a combination of these methods because different technologies provide more accurate measurements for different types of items. (For example, lasers might be better at measuring shiny objects than cameras are.) Users should also be aware that a dimensioner's accuracy depends not only on the quality of the equipment—the actual laser or camera—but also on the software that analyzes the information received from the camera or laser, Crosby says.
Different static dimensioners also require different amounts of labor, according to Crosby. Some require the operator to line up the box or item precisely with the dimensioner's edge and press a button or pass a metal bar over it to get the measurements. These types typically use laser-based technology, he says. Other dimensioners simply require the operator to place the item on or under the dimensioner, which then automatically detects the item and dimensions it in tenths of a second.
MEASURING ON THE MOVE
Compared with static dimensioners, in-motion parcel dimensioners are typically faster and better suited for high-throughput operations. As for how manufacturers define "high-throughput" operations, that can vary. But Hanrahan says that in-line systems are good for operations that ship out 700 cartons or more a day.
In many cases, these tunnels serve not just as dimensioners but also as in-line inspection points that capture the carton's weight, bar code, and other text-based information. Some even take pictures of the parcel to provide a record of its condition at that point in the handling process. Units with these capabilities can be used for pick validation or defect detection before an outbound item or parcel is placed in a truck, Hanrahan says.
In-line systems are typically more expensive than static solutions, but prices have been dropping as camera technology advances, Hanrahan says. He reports that dimensioning software can currently be added to a scanning tunnel for under $5,000.
The one drawback of in-line tunnels is that they don't always work with every shape, says Kim Karvonen, senior sales and business development executive for QubeVu. For this reason, Hanrahan recommends that companies use static dimensioners if they're trying to obtain cube dimensions for slotting, storage, or cartonization purposes.
THE FINAL TEST
Once you've decided what general type of system is right for your operation, it's time to begin evaluating different manufacturers' products. To ensure a fair comparison, Wiley recommends conducting a "bake off" where the systems are compared side by side using the same types of parcels or loads you handle in your daily operations. "Don't take the manufacturers' word for it," he says. "Measure and test for yourself, so that you get the right technology and solution for you."
Eight questions to ask before choosing a dimensioning system
What's the best dimensioning system for you? The answer will depend on your slotting and shipping volume, the size and types of items you handle, and how much you want to spend. Here are some questions to ask yourself as you narrow down your search:
1. What are you dimensioning? This is more than just a matter of knowing whether you'll be measuring parcels, pallets, or letter packs, says Jason Wiley of Mettler Toledo; you also have to consider factors like the items' shape (that is, whether they're regular- or irregular-shaped). Don't immediately assume that all your items are regular-shaped, adds Will Crosby of QubeVu. For example, polybagged items might seem regular-shaped but a package may bulge depending on what's in it or how it's packed—which could prevent some machines from obtaining accurate measurements.
2. What are the maximum/minimum lengths, widths, and heights
3. What is your throughput? Often, this will determine the degree of automation you need.
4. What is the surface of the item that you're dimensioning? Is it shiny? Is it dark? Some systems will have a harder time measuring those items than others, Wiley says. For example, a dimensioner that uses lasers may be better at measuring items with reflective surfaces than one that uses a camera.
5. How much are you willing to invest? When determining how much you can spend on dimensioning equipment, be sure to take into consideration any labor savings that the equipment might provide.
6. How well will the dimensioning system interface with your shipping software—such as UPS WorldShip or FedEx Ship Manager—or your warehouse management system?
7. How fast do items need to be dimensioned? Crosby notes that when comparing the speeds of various models, it's important to consider not just the speed of the equipment itself but also how long it takes the operator to place the object on the dimensioner and complete any steps—like moving arms or pressing buttons—necessary for taking the dimensions.
8. Do you want to capture other information along with the dimensions? In addition to taking an object's measurements, some tabletop and tunnel systems can also determine the item's weight, scan bar codes and text, and even capture an image of the item itself.
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]."