When the international nutritional solutions and cheese group Glanbia converted over to voice for its Irish dairy business, it didn't stop with picking. It found ways to use the technology in virtually every part of its distribution operation.
David Maloney has been a journalist for more than 35 years and is currently the group editorial director for DC Velocity and Supply Chain Quarterly magazines. In this role, he is responsible for the editorial content of both brands of Agile Business Media. Dave joined DC Velocity in April of 2004. Prior to that, he was a senior editor for Modern Materials Handling magazine. Dave also has extensive experience as a broadcast journalist. Before writing for supply chain publications, he was a journalist, television producer and director in Pittsburgh. Dave combines a background of reporting on logistics with his video production experience to bring new opportunities to DC Velocity readers, including web videos highlighting top distribution and logistics facilities, webcasts and other cross-media projects. He continues to live and work in the Pittsburgh area.
When it comes to distribution applications for voice technology, people tend to assume the story begins and ends with order picking. That's no surprise given the kinds of productivity and accuracy gains voice users have reported over the decades.
But it turns out picking is just part of the story. As a number of users have discovered, voice technology can bring the same types of advantages to other DC processes, such as receiving, putaway, replenishment, load building, cycle counting, inventory management, and shipping. In fact, voice can be used to streamline nearly every aspect of distribution center management.
Glanbia, an international provider of milk, cheese, dairy foods, and nutritional products, is a case in point. For nearly three years now, the company, which is headquartered in Kilkenney, Ireland, has been using voice technology to direct not just picking operations, but also activities like receiving, putaway, and loading at its Irish dairy facilities.
What started Glanbia down this road was its growing frustration with the manual processes it was using at the time. "We were solely a paper-based operation," explains John Mee, the company's supply chain manager. "Replenishment, for instance, was all manual. A person had to follow directions on paper and look for a replenishment slot."
Trouble was, that was proving to be both time consuming and error prone. It wasn't unusual for papers to be misplaced or products to be put in the wrong places. "Our labor costs were high, but we were getting these high errors and less-than-optimal productivity rates," Mee says. "We knew we were not as effective and efficient as we should be."
On top of that, the paper systems did not provide real-time inventory information. Glanbia employees could not always find products, and when customers made credit claims, there was no good way to check the claims' validity. At the same time, Glanbia was under pressure to reduce costs.
Glanbia began working with its technology integration partner, Heavey RF of Ireland, to investigate alternatives that would reduce costs and resolve its other distribution challenges. They soon determined that voice-directed technology offered the flexibility to work in many different areas of Glanbia's operations. Also, because voice systems typically have a return on investment of less than a year, the technology would provide the fast payback Glanbia required.
The company installed voice systems from Vocollect at four sites, beginning in September of 2008 and finishing up in March of 2009. The voice systems now perform a number of operations in two milk manufacturing facilities and two distribution centers. One of the DCs distributes milk and cream products, which are bottle- and carton-based, while the other deals with other food products that are primarily case-based.
Creating a fluid process
The two milk plants operate entirely on voice for their distribution processes. Once the product is manufactured, the company's SAP warehouse management software assigns orders to trolleys, which are wheeled racks in a lattice framework approximately 5 feet, 8 inches tall. The trolleys, which act as both storage medium and conveyance for the milk, are used throughout the distribution process, even to the point of wheeling them into retail stores where the milk is offloaded directly onto store shelves.
When it comes time for orders to be picked, workers are guided to the appropriate storage locations through instructions received through their headsets. Upon arrival, they read off a check digit—a three-number code attached to or suspended above the location—to confirm they're in the right spot. The system then requests that the worker read off a "best before date" to the system to confirm that the product falls within the customers' requirements for expiration dates. The milk is picked onto the trolleys and the process is repeated until the trolley is full or the order is complete.
The trolleys are then wheeled directly to shipping, where the voice system provides instructions on where to place the milk prior to loading onto trucks. Some milk will ship directly to customers and agents (similar to brokers), while the rest will be sent in 40-foot trucks to the central milk warehouse.
The central milk warehouse turns its stock three times each day, so it doesn't actually store product—it merely stages it so that it can be picked for delivery by smaller route trucks. The facility operates 24 hours a day six days a week, turning out 1.6 million liters (approximately 422,675 gallons) of milk each day. "We have to turn these products quickly," says Mee. "It just has to keep flowing. We can't have any lost time."
Going with the flow
To ensure this quick flow through, voice is used in a number of processes within the central milk warehouse, including receiving products into the 23,000-square-foot facility. The "goods-in" receiving process starts with the driver's logging onto the voice system upon arrival. The voice system then prompts him to read off a delivery number listed on his dispatch paperwork. As the driver begins unloading the truck into the goods-in receiving area, he reads into the voice system the trolley's carrier number, which was attached to each trolley before it was shipped from the milk manufacturing center. This marries each trolley with the receipt.
A goods-in person will then complete the putaway process, also using Vocollect voice. The worker will read off the carrier number from the trolley, and the voice system—together with the SAP warehouse management software—will direct him or her to take the trolley to an assigned staging location for picking. The worker can also choose his or her own location by informing the voice system of the change. A check digit posted above each location must also be read to confirm the load is put away into the correct area. The worker confirms the putaway, the status of the load carrier is updated, and the stock is then available for picking.
A bar-code label attached to each trolley can also be scanned using a hand scanner at any point within the process. This will bring up a list of every item on the trolley, which can be helpful in resolving any inventory issues.
Once deposited in the putaway location, the milk is ready for picking. Some orders will require a full trolley of one SKU, while others call for multiple SKUs to be assembled onto one or more order trolleys. If the order requires multiple SKUs, the voice system will direct the worker to the lanes holding products for the order. Upon arrival at each location, the worker must read off the check digit displayed on the overhead sign to confirm the right slot has been reached. The voice system will then provide instructions on the number of cartons to pick onto the order trolley. The worker picks the items and confirms the quantity by reading the number of items picked back to the system. Best-before dates are also read into the voice system as items are picked to assure customer service requirements are met. Additional picks are made from other product trolleys.
Once the order is complete or the trolley is full, the voice system directs the worker to wheel the trolley to a marshaling area, where products are staged for loading. The system also provides the lane assignment for each trolley. As the worker deposits the trolley in a lane, he or she must read the check digit for that lane to confirm it's the right location.
Voice also directs the loading process. When an order is ready to ship, a loading person logs onto the voice terminal. He then reads a delivery docket number found on the dispatch sheet (similar to a packing slip) that is later given to the driver and accompanies the order in transit. The worker is then directed to load the truck in reverse delivery sequence, according to the unit carrier label attached to each trolley. The worker must read back the last four digits of this number to confirm that the correct trolley is being loaded onto the truck in the proper sequence. The process continues until the entire truck is loaded.
Vocollect's voice system is also used in Glanbia's food warehouse, where cases of products are picked from 1,000 positions in pallet racks onto order pallets. As in the other facilities, the voice system provides workers with instructions on which products to pick and confirms that all order requirements are being met.
Milking the benefits of voice
Voice has had a tremendous effect on productivity in the food warehouse, including a 60-percent increase since moving to the technology. Even greater increases have been realized in the central milk distribution center. In that facility, productivity has nearly doubled, with a 95-percent increase.
"Eliminating the paper means workers do not have to stop and mark their sheets. They instead keep moving," says Mee. "We also eliminated the dead time going back to the office to get additional paperwork. We have better locating now, so workers do not have to look for products. And we have less time spent rectifying errors. Overall, it is a much more fluid process."
These improvements in productivity have resulted in substantial labor savings. Work is also more flexible, as workers can be moved to whichever operation needs them the most. Once they are trained on voice, they merely have to follow the prompts for the new area, whether they're performing receiving, putaway, picking, or loading tasks. Soon, workers will also do inventory counts. Glanbia is hoping to interleave the counting process within putaway and picking operations for better overall inventory control and efficiencies.
Accuracy has also improved since moving to voice, with a 600-percent decrease in errors. This has resulted in a 45-percent drop in credit claims.
"The error rate reduction has been very noticeable by our customers," notes Mee. "We have reduced our claims, as we now know when a product was picked, who picked it, and what truck it went out on. It has brought us marketplace credibility and has lowered our supply chain costs, allowing us to remain competitive during a difficult economic environment."
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]."