Picking technologies: When inaccuracy leads to lost customers
The true cost of a mispick is measured in service levels—and by a dwindling customer base when consumer and B2B buyers turn to sources that get orders right.
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.
Most organizations understand that mispicks can add up to big losses—in money, time, and labor—but the biggest bite comes from losing a customer due to service problems associated with slow deliveries, receipt of the wrong item, and the hassle of a return. In today's fast-shipping world, where two-day (or faster) delivery has become the norm thanks to the likes of Amazon.com and Zappos.com, companies serving both consumers and business-to-business customers must meet higher-than-ever expectation levels or suffer the wrath of a dissatisfied customer.
"Service is now the big issue," says Steve Mulaik, Atlanta-based director with global supply chain management consulting firm Crimson & Co. "[A mispick] can add two days to an order's processing time. This is huge in the cut-throat e-commerce world. This sort of thing ends up in complaints on Facebook and elsewhere that drive [customers] to sites that have better service."
The situation is putting pressure on distribution center leaders to improve accuracy in the picking process. The list of remedies is long and includes technology solutions, process changes, and new approaches to training DC workers. But before a DC can tackle any of that, managers and staff must understand what a mispick is, what it costs, and how to address the weak spots in their operation.
MISPICKS: WHAT THEY ARE AND WHAT THEY'RE COSTING YOU
A mispick occurs when the wrong item or wrong quantity of an item is picked, when an item is omitted, or when a damaged or mislabeled item makes its way into an order. Mispicks occur primarily through human error; a worker picks the wrong item, pulls from the wrong location, picks the wrong quantity or unit of measure, puts an item into the wrong tote, or in some cases abandons the pick task along the way. Mispicks also can occur because of vendor errors or because a product has been misreceived.
Experts say it's tough to put an industry-standard price tag on the cost of a mispick because so many factors come into play, including the value of the product being picked and the costs associated with shipping, returning, and restocking the item—as well as the labor required to handle it all. Soft costs—including resulting inventory inaccuracies and customer dissatisfaction—further muddy the waters.
Despite those challenges, there are some industry statistics that highlight the severity of the problem: A 2012 study by research company Vanson Bourne estimates that DCs lose nearly $400,000 a year due to mispicks, and Crimson & Co. estimates the labor cost of a mispick in cart-picking operations at $3 to $7 per error.
"It's different for every organization," says Peter Gerbitz, system sales manager for Lightning Pick/Matthews Automation Solutions, a Wisconsin-based provider of light-directed and advanced order fulfillment systems. He adds that awareness of the problem is growing, although he says efforts to mitigate it lag. "About half [of organizations] have really drilled in and can put a dollar amount on the cost of a mispick. In the half that haven't done so, they have a general idea of the elements and realize the severity of the issue. And there are a number of them that don't understand the cost associated with it [at all] ... For some reason, they may shy away from the investment needed to correct the problem."
Those reasons often include the high cost of new technology solutions or upgrades, and the time and training involved in developing new picking processes or redesigning existing ones. Gerbitz and others say DC leaders should look past such hurdles to find affordable and creative ways to address the problem. They also point out that, for some firms, a hefty high-tech investment will not only alleviate the pain of mispicks but may also yield game-changing productivity improvements throughout the DC. In either case, improving the picking process can mean the difference between a satisfied and dissastisfied customer base.
"Customers have zero appetite for mispicks and inaccurate orders," says Doug Card, director, systems and special applications, Americas, for Kardex Remstar, a Westbrook, Maine-based manufacturer of automated storage and retrieval systems. "Almost everyone has multiple sources they can get something from, so if you ship someone the wrong product, if it's not a perfect experience, they will go somewhere else."
There are three primary ways to mitigate the risk of mispicks: technology, design, and training. Technology is often the first thing that comes to mind, with solutions that range from simple bar-code scanners and radio-frequency identification (RFID) systems to more advanced voice- and light-directed picking technologies. Such solutions rank high because they make an impact.
"The more you automate, the more accuracy you are typically going to see," says Gerbitz. "On the flip side, the more you [automate,] the higher the cost."
As an example of high-tech automation, he points to the light-directed order fulfillment solutions Lightning Pick provides. Pick-to-light technology, as it's commonly known, is an order fulfillment system that uses alphanumeric displays that light up to guide and expedite the manual picking process. Such solutions incorporate other technologies—including bar-code scanning and RFID tools—and are designed to integrate with a company's warehouse management system. But not all companies will benefit from such solutions.
"There are deltas on both ends, where [a company] may not have the order volumes to justify it, and we see that the [return on investment] won't be there. On the other hand, depending on the product, [a company's needs] may be beyond what we can provide," says Gerbitz. "But there is a very large group of customers in between that can benefit from this type of technology."
Outside of automation—and, often, in conjunction with it—experts urge DCs seeking to reduce mispicks to conduct a detailed review of their picking process to identify—and address—areas where errors are most likely to occur and evaluate how well they train and motivate their picking staff to get orders right. These are areas where DCs can get creative—but they must be persistent, Mulaik advises.
"Tuning or redesigning a picking process to produce 0.1-percent errors without outside help can take multiple quarters, if not years, and should start with a thorough review of the kinds of picking mistakes that occur most commonly in the organization," he says, adding that managers should then address those issues one by one.
"It's more about how we deal with [errors] so that they don't happen," he says. "Sometimes, I think people just don't get creative enough."
As an example, he points to a bar-code scanning system that gives the same auditory signal for a pick as it does for a mispick. Simply programming your system to use a different sound for each will help reduce some of the mispicks.
"You need to think through the design process—within your system's capability," he says, adding that developing training programs and creating awareness about how mispicks happen is also a key part of the process.
Card agrees that solid processes are the foundation of any good picking solution.
"[Reducing mispicks requires] a combination of technology, process, and other things," he says. "Implementing new technology like automation can certainly help, but if you don't have good processes and policies around it, you're not going to [achieve] peak accuracy."
People are the other key element in the mix.
"You have to buy into how important the work environment is, because it plays into being able to reach that peak accuracy," Card adds. "Technology is only going to get you part way there."
Training programs for order pickers become an important piece of the equation, especially if a DC is working with system limitations—in most cases, this means a situation in which a system upgrade or replacement is too costly. Mulaik says developing awareness of where problems occur and training workers on how to deal with or work around those problems is vital to improving accuracy. Card adds that managers should reinforce training by rewarding workers for picking accuracy. This can be done creatively—with bonuses, time off, or some other form of recognition.
"[DCs] should look at their overall processes and say, 'How can we incorporate technology?,'" Card says. "But then you have to say, 'Are we doing things the right way? Are people motivated? Are they being rewarded for accuracy?' It's a combination of all that."
Successful integration of these elements helps drive organizations toward the ultimate goal of providing the best possible customer experience.
"Ultimately, it's about service," Mulaik says. "It's not so much about the cost of the mispick itself. Companies get upset about how [inaccuracy] impacts service."
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]."