To hear their managers tell it, america's dcs are getting better all the time. Asked how well their DCs are doing today, respondents to our third annual metrics survey offered an upbeat picture of facilities where the commitment to service is strong, the operating stats are good looking, and performance is above average, to borrow a phrase from a popular public radio program.
The numbers appear to bear them out. The results of the study, which was conducted among members of the Warehousing Education and Research Council (WERC) and readers of DC VELOCITY, did indeed indicate improvement over the 2005 study's findings. When asked how their customers rated their DCs' performance in five key service areas—including percentage of "perfect" orders—respondents overwhelmingly reported that their clients thought they were doing an average or above average job.
But when we examined the data more closely, a somewhat different picture emerged. For example, we ran some calculations to see how closely respondents' perceptions matched their actual performance against the Perfect Order Index. The results showed that some of those "perfect orders" weren't so perfect after all.
DC performance was only one of many subjects covered in the 2006 survey, which was conducted by Georgia Southern University and Supply Chain Visions. The study also collected data on what activities DC managers measure and how they measure them, which we then analyzed by type of industry, supply chain structure, and overall corporate strategy. (Download a copy of the full results of the 2006 survey.)
Annual performance review
So how well are America's DCs performing these days? It appears that they're continuing to make strides. Operating statistics provided by the survey respondents confirmed that DC performance in 2006 compared favorably to 2005's. As Exhibit 1 shows, performance (as measured against 14 key metrics) either held steady or improved. In only one case (units picked per hour) did performance dip. More encouraging still, the areas where improvements were made all centered on customer service: percentage of orders shipped complete, average time from order placement to order shipment, fill rate per line, order fill rate, and order picking accuracy. But that's only part of the story. Comparing a DC's performance against benchmarks—whether industry averages or "best practices"—provides an incomplete picture of its service at best. The true test is how the customer perceives the service.
To learn as much as possible about how well DCs are serving their customers, we used two different data-gathering approaches—one direct and one not so direct. The first was to simply ask respondents how their customers rated their DCs' performance. To be precise, the survey asked them to indicate how their customers viewed their performance in five key customer-focused areas—fill rate, ontime delivery, percentage of orders shipped complete, percentage of accurate invoices, and percentage of perfect orders. The responses proved to be a model of consistency. In every case, close to 80 percent of the respondents said their customers considered their performance to be either "average" or "above average."
Statistically, of course, it's highly improbable that 80 percent are actually performing at an average or above-average level. But it's not impossible. It seems safe to assume that the study's respondent base—members of a professional association like WERC and/or regular readers of professional journals like DC VELOCITY—is skewed toward the highest-performing segment of the industry.
It's also possible, however, that some of the respondents have stumbled into what we call the 50-percent trap. To explain the 50-percent trap, we like to use the analogy of how parents interpret their children's grades.
When presented with an all-Bs report card, most parents assume that their offspring are average, if not above-average, students. But that's not a realistic assumption.
In any given class, 50 percent of all students perform at an above-average level and 50 percent below average. It's unlikely, however, that half the class is receiving As or Bs and the other half Cs or Fs; the grades are far more likely to be clustered in the middle. So while parents may think their B students are average, the reality is that the B, and particularly the B minus, students are actually performing well below the 50th percentile mark.
And so it may be with warehouse or DC performance. Managers may not be aware of it (or willing to admit it), but the fact remains that nationwide, 50 percent of all facilities— though perhaps not those represented in our survey—are performing below the midpoint level.
The POI doesn't lie
Recognizing that the respondents might have difficulty providing an objective assessment, we also tried a second, less direct, approach to determining how well DCs are serving their customers. Using the performance data respondents had provided, we calculated the respondents' compos- ite score on what's known as the Perfect Order Index (POI).
The Perfect Order Index is a widely recognized measure that incorporates four critical customer service elements: order completeness, timeliness, condition and documentation. In other words, to be considered perfect, an order must arrive complete, be delivered on time, arrive free of damage, and be accompanied by the correct invoice and other documentation.
To calculate a given company's score on the Perfect Order Index, you simply take those four metrics (expressed as percentages) and multiply them together. For instance, a supplier that ships 95 percent of its orders complete, 95 percent on time, 95 percent damage-free and with the correct documentation 95 percent of the time would earn a score of 81.5 percent (95 x 95 x 95 x 95).
So how did the respondents' DCs score on the Perfect Order Index? As Exhibit 2 shows, the composite results were a less-than-perfect 84.46 percent. What this means is that slightly more than 15 percent of all orders shipped are marred by some sort of failure.
What's "on time" anyway?
As for what accounts for those "failures," the survey data suggest that part of the problem may be confusion (or disagreement) among DCs and their customers about whether orders are "on time" or not. It may sound like a simple enough determination, but our survey indicates otherwise.
To begin with, there's the distinction between shipped on time and delivered on time. DCs are much more likely to interpret "on time" as meaning shipped on time than delivered on time. That stands to reason. It's far easier for a DC to document when an order leaves its dock than to obtain reliable data on when it's delivered.
Customers, however, look at it differently. They're not so much interested in when an order leaves the supplier's dock or what happens to it along the way as in when it arrives. For most customers, "on time" means delivered on time. But even if DCs could be persuaded to abandon the "ontime shipment" metric in favor of "on-time delivery," there's still another problem. Even the customers themselves don't agree on what constitutes an "on-time" delivery. Nearly 69 percent of the survey respondents reported that their various customers defined "on-time delivery" differently.
How much variation could there be? Quite a bit, it seems. As Exhibit 3 shows, customers define "on time" at least six dif- ferent ways. The majority of the respon- dents (63.1 percent) reported that their cus- tomers considered a shipment to be on time if it arrived on the requested or agreed-upon day. But other clients seem to be much more exacting. For example, for 26.9 percent, "on time" means delivery within 30 minutes of the appointed time. And for 4.3 percent, it means delivery within 15 minutes of the appointed time. Still others define "on time" as "No line down time" or "By 4: 00 p.m." All this variation may go a long way toward explaining why suppliers sometimes have difficulty delivering "on time."
Room for improvement
Overall, what we see from this survey is encouraging. It appears that more companies are concentrating on their performance against customer-focused metrics than in the past, and that their performance against those metrics is improving.
But the survey also indicates that some DCs, at least, may not be performing as well as they think they are. To those DCs, we recommend taking the following three steps to improve performance:
Broaden your perspective to include measures that are strategic/cross functional in nature and that focus on the customer's perception rather than your own internal measures.
Accept that no company can be "best" at all things. Almost everyone turns in "below average" performance in one area or another.
Make an honest attempt to assess your operations from the customer's point of view. Keep in mind that the "aver- age" performance you might have thought was a "B" is real- ly a "D."
Our second call to action is to urge industry groups to get involved. Associations can provide a valuable service to their members by working with their constituencies to gather and disseminate benchmark data.
In the meantime, we invite readers' comments, suggestions, and insights into the research and their own use of performance metrics. We can be reached by e-mail: Karl B. Manrodt at Kmanrodt@georgiasouthern.edu, Kate L. Vitasek at kate@scvisions.com.
a look at the survey respondents
Talk about a study in contrasts. Last year, 380 DC executives responded to our annual metrics survey. This year, the total was a whopping 900. Almost as soon as the survey invitations went out, replies began pouring in from DC executives across the country. The response was particularly strong among C-level executives. The percentage of top executives (senior vice presidents, CEOs, CFOs and presidents) participating in the survey soared to more than 27 this year, compared to 11.4 last year.
What accounted for the difference? The survey's length may have been a factor. Last year's questionnaire asked respondents to rate their DCs' performance against a set of 55 metrics. This year, we cut the number of metrics to a more manageable 35, and the response rate more than doubled. Coincidence? We think not.
As for the respondents themselves, they came from companies of all sizes across a wide range of industries. Exactly half said they worked in manufacturing/distribution. Just over a quarter (26 percent) came from the third-party warehousing industry, and 13 percent reported that they worked in the retail industry. The remainder were scattered across other sectors: carriers, utilities, life sciences and the government.
The survey also asked respondents to indicate their "location" in the supply chain—that is, whether their direct customers were end users, retailers, distributors/wholesalers, or manufacturers. As it turned out, most were either at or very close to the end of the chain. Roughly 60 percent indicated that their customers were either retailers or the products' end users. Some 20.1 percent reported that their primary customers were manufacturers, and the remaining 21.6 percent sold to distributors.
In terms of company size, the respondents' businesses turned out to be equally distributed among the survey's size categories. About onethird worked for businesses reporting annual sales of less than $100 million, about one-third reported that their companies' sales fell into the $100 million to $500 million range, and the remaining third reported sales in excess of $500 million.
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]."