When its pick-to-light system kept breaking down, hair-care products manufacturer Goody knew it was time to update its equipment. A 2006 retrofit solved the problem while boosting productivity and accuracy.
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.
For three years, it happened again and again. Picking operations at Goody Products Inc.'s Columbus, Ga., distribution center came to a halt because of some sort of maintenance problem with its pick-to-light system. A light would go out, a scanning gun wouldn't read correctly, or a gun would lose its programming—and the entire system had to be taken down so it could be fixed.
"It cost our company a tremendous amount of lost labor through those three years," says Dean Shaw, the company's senior fulfillment supervisor.
But downtime or no, the work still had to get done. Goody, a $160 million manufacturer of barrettes, hair bands, brushes, and other hair-care accessories and styling tools, could not afford to ship late—not with Wal-Mart as its biggest customer. "Wal-Mart doesn't understand if you tell them you're having system problems; they couldn't care less," says Shaw. "They just want the product in their distribution center."
Clearly, shipping late wasn't an option. That left Goody with no choice but to have its order-fulfillment employees work overtime and eat the added labor costs.
A high-maintenance system
Perhaps the biggest problem with Goody's old pick-to-light system was that it wasn't designed for easy maintenance. When a problem cropped up, it couldn't be diagnosed or resolved by Goody's own employees. Instead, the vendor would have to dial into the company's server and oftentimes, would have to shut down the entire system to find the problem.
"We have 36 zones, and if one [scanning] gun wasn't effective or wasn't being consistent, instead of identifying what number gun and what zone it was in, we would have to knock out the whole system and then take it up, drop by drop by drop, to figure out where the problem was," Shaw recalls.
Once the problem was discovered, Goody would then have to wait for a technician to come to the distribution center to fix it, even if it was something as simple as replacing a light. "Maintenance on it was unbelievable," says Shaw. "It was a wired system that was really difficult to troubleshoot."
Maintenance was only the half of it. There were other problems with the system as well. For example, the scanning guns it used were tethered, rather than cordless, models, which meant they could only be used in one zone. The system also had its limitations when it came to indicating multiple picks in a single zone—because the system was only able to handle sequential picks, the indicator lights would light up one at a time instead of all together. Plus, the quantity to be picked was displayed on a central bay station instead of at the pick slot. This configuration required pickers to look back and forth between the pick location and the central bay, increasing the likelihood of mistakes and slowing workers down.
The system also had its limits when it came to diagnostic and reporting capabilities. For example, it could only store productivity and quality data for a few days, making it difficult to track employees' long-term progress.
Test pilot
By 2006, it was clear to those who worked on the DC floor that it was time for a new pick-to-light system. But Shaw and his team would first have to convince upper management of the situation's urgency.
The problem was how to "sell" the project. It wouldn't be enough to pitch the program as a solution to the DC's maintenance woes. Instead, the managers would have to show how a new system would produce financial benefits. After some thought, Shaw came up with a plan: "We sold it by saying it would increase productivity by 10 percent," he says. "But I was nervous at the start about hitting that number."
It didn't help that the DC would be under the gun to realize those results quickly. Goody is a business unit of Newell Rubbermaid, a consumer and commercial products company. As a general policy, Newell Rubbermaid requires that any new equipment or software improve productivity within 18 to 24 months.
Despite some trepidation, Shaw and his colleagues decided to go ahead with the project. They quickly agreed that rather than upgrade the old equipment, they'd start fresh with a new supplier. Not long afterward, the team settled on another pick-to-light vendor, Lightning Pick Technologies.
When they were ready to evaluate Lightning Pick's products, Shaw and the DC managers traveled to the vendor's offices in Germantown, Wis., for what's known as a "conference room pilot"—a demonstration of the system in a specially equipped meeting room.
The test run showed the Goody managers how orders would be downloaded from the company's existing Manhattan Associates warehouse management system (WMS) and then uploaded from Lightning Pick back to the WMS, says Dave Broadfoot, the Lightning Pick managing partner who was involved in the implementation at Goody. "This [test] ensures that everything that we said is going to work does before we even set foot in the DC and before we start tearing things apart," he explains.
During the visit, Lightning Pick also trained Goody's managers in simple maintenance procedures, such as replacing lights. Convinced that the equipment would easily integrate with Goody's host system while providing easier maintenance, Shaw's group decided to go ahead and install one of the vendor's pick-to-light systems at the Columbus DC.
After the conference room pilot, Lightning Pick and Goody conducted a site assessment in August 2006. Goody then created a layout of the distribution center's current operations and sent it to the vendor, which designed a blueprint for the new system, including light addresses and pick locations.
The installation itself took place over a weekend. On a Friday night in October, the Lightning Pick crew came in and began tearing out the old system and installing the new one. By Saturday, all of the lights had been installed and the crew was running diagnostics. By Sunday, the Goody staff was being trained on the new system and had begun working with it. In less than three days, the pick-to-light system was operational. And as promised, the entire changeover was transparent to Goody's customers.
Instant results
Once the new system was up and running, the maintenance issues disappeared. Goody's own employees can now repair many of the problems that used to hold up operations. They can change lights on the fly, batteries are easy to replace, and if a gun loses its programming, any employee can reset it simply by doing two scans.
"It's much more user-friendly in terms of maintenance," says Shaw. "You don't have to spend time waiting around for a technician to arrive. Instead you can now take down the specific zone where the problem is, and picking can continue in the areas around it."
On top of that, the system's design has greatly reduced downtime and improved productivity. Now when there are multiple picks in one zone, they light up all at once, a change that boosted picking speed. Plus, the quantity to be picked now appears right at the picking slot."The hourly employees like the fact that they do not have to look away from the pick slot. This made them a little more accurate," says Shaw. "Of course, our expectations for their accuracy levels have also increased."
The new system's design has even made it easy to learn—something that's particularly important to Goody, as the company uses a lot of contract labor in its distribution centers.
Freedom to move and improve
Installing the new pick-to-light system also gave Goody an opportunity to make a technological leap, updating both its hardware and its software. One big change was the switch from tethered scanning guns to cordless ones. The new guns can be used in multiple zones, giving a greater range of coverage and more freedom of movement. "Supervisors and managers no longer have to 'jump rope' as they move through the facility," reports Shaw.
Managers and supervisors now have better reporting capabilities, and they receive alerts when there are potential problems. For example, the system notifies Goody by e-mail when inventory at a particular location runs low and needs to be replenished. Every two hours, it reports on whether the DC is maintaining the necessary picking performance levels, and Goody now can get statistics on individuals' productivity. "There are charts that show us by user whose productivity has been steadily increasing, who's plateauing, and who's not coming along," says Shaw. "This provides a useful tool for managing the workforce."
By all accounts, the new system has had a dramatic effect on Goody's operations. As it turned out, Shaw's worries about raising productivity were unwarranted: The distribution center saw a 23-percent increase in productivity, more than double the level promised to management. At the same time, accuracy rose from 98.94 percent to 99.35 percent, based on Goody's routine inspections of 19 percent of all cartons leaving the picking area. The implementation has been so successful at the Columbus DC, in fact, that Goody's parent company, Newell Rubbermaid, is planning to install another of the pick-to-light systems at its Southeast regional distribution center in Atlanta.
Goody's only regret may be that it didn't install the new system sooner. Shaw urges others to learn from his company's experience and not wait so long to replace aging equipment. His recommendation: "If you are having problems with your existing system and determine you are going to replace it, move aggressively forward and get it replaced."
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]."