After nearly four decades of growth, The Container Store's DC had reached its limits. That's when the retailer installed a high-performance automated fulfillment system that has reshaped its entire 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.
Most distributors eventually realize that only so much can be accomplished with manual operations. Sooner or later, volume reaches a point where companies can no longer handle seasonal peaks by simply throwing more labor at the problem. The Container Store reached that place about a year and a half ago.
"We've been in continual growth since we started 38 years ago," says Amy Carovillano, vice president of logistics and distribution. "We just tipped the point where the return on investment was really there for automation."
To understand what brought the company to that juncture, it helps to know a little about The Container Store's business. Since its founding in 1978, the company has grown into the nation's largest specialty retailer of home organization and storage systems, selling containers of all shapes and sizes as well as organizational solutions like its custom closet system. The retailer, whose business peaks around the holidays and during back-to-school season, now operates 90 stores as well as a fast-growing direct-to-consumer business.
Not surprisingly, all that growth has put something of a strain on the company's sole DC—an 875,000-square-foot facility in Coppell, Texas. In an attempt to rev up operations a few years back, the company had invested in Lucas Systems' Jennifer voice-directed picking solution as well as a new warehouse management system (WMS) from Manhattan Associates, both of which it continues to use today. Although these moves provided an immediate bump in productivity, it soon became clear that even state-of the-art digital tools couldn't "fix" the operation's core problem: the amount of travel time required in what was essentially a manual operation, where orders were still filled from static racks and shelving.
Not surprisingly, the inefficiencies eventually began taking a toll on performance. "We had a real problem with getting orders out the door on time, especially when we had volume spikes," says Christy Parra, senior logistics director.
After evaluating its options, the retailer decided its best hope lay in automation. For help with the project, The Container Store turned to Dematic, a designer and supplier of warehouse systems. As for the type of system it was looking for, the retailer told its supplier it wanted a high-performance order fulfillment system that would allow it to fill orders for both store and direct-to-consumer channels from a common inventory—an approach that would simplify processing while increasing speed and efficiency.
Totes are color-coded by order size and final destination. Red and yellow totes hold direct-to-consumer orders; the yellow totes contain smaller orders. Blue totes hold store orders.
The solution Dematic designed for its client includes conveyors, a sliding shoe sorter, and two large picking modules: a three-level module that holds items picked in case quantities and a two-level module that's used for less-than-case picking. That last improvement has been something of a game-changer for the retailer, according to Parra. "We went from a static pallet environment to pick modules," she says. "We can now pick two to three times faster out of the pick modules than we could from the floor locations."
Of course, as with any project of this magnitude, the changeover required a bit of patience, especially given that implementation took place while operations were running in high gear. Parra characterizes the transition this way: "It was like remodeling a home while having house guests and serving Thanksgiving dinner."
PRECISION HANDLING
Today, fulfillment operations at the Coppell distribution facility unfold with choreographed precision, thanks to an array of smart tools. These include the Jennifer voice system, which directs order picking throughout the building, including the two new pick modules. They also include 120 multimodal terminals from Motorola (now Zebra), which are used by pickers in two shifts to "drive" the voice system and for scanning bar codes. Then there's the Manhattan WMS, which determines what products are needed for orders and where products are stored within the facility. Typically, the software assigns larger items and slower-moving products to conventional racks, while sending faster-movers (as long as they're conveyable and fit in the storage slots) to the pick modules, which provide for swifter processing.
Product selection actually begins in the conventional racking, where slower-moving, smaller-cube conveyable items are picked from racks and shelves into totes on rolling carts. Each tote represents an individual order. The totes themselves come in two sizes that are color-coded by order size and final destination. Smaller yellow totes hold direct-to-consumer orders and can fit eight to a cart. The larger totes, which fit four to a cart, include blue totes, which hold store orders and are lined with a plastic bag to make loading out easier later, and red totes, which are earmarked for direct-to-consumer orders that include larger items. The colors do not vary according to picking method, as all totes are filled from the same inventory and will eventually travel the same path through the automated system. The colors do, however, matter when the totes move on to packing or truck loading for stores.
Pickers gather needed items from the racks according to directions from the Jennifer voice system. When picking is complete, the associate wheels the cart to the closest tote induction point on the conveyor system. If additional picks are needed, the totes then move by conveyor to the two-level less-than-full-case pick module. Otherwise, they head to packing.
On the bottom level of the pick module, items are held on one side of the aisle in case flow racks and on the other side in shelving. On the second level, products are stored on shelves on one side and in pallet flow racks on the other. The pallets hold faster-moving shoebox-sized items. Conveyors run through the middle of the module to transport products and move them between levels, which is done via spiral conveyors.
PICK AND PASS
To optimize the picking process, the two-level module uses a pick-and-pass approach in which order totes are diverted only to zones containing needed items.
The two-level module is divided into 16 pick zones, eight per level. As with the cart picking area, orders for both the retail and e-commerce channels are filled from the same shared inventory, and color-coded containers are used for gathering items. These containers include totes that originated in the cart pick area as well as totes that begin their journey in the pick module. They may even include shipping cartons. To save time in packing downstream, the company picks some of its orders into the two most popular-sized shipping cartons.
To optimize the picking process, the two-level module uses a pick-and-pass approach in which order totes are diverted only to zones containing needed items. As the containers ride along on the module's conveyor, their labels are automatically scanned. When a container arrives at the first pick zone with a needed item, diverters kick it off onto nonpowered side rollers. An associate assigned to that zone then gathers the containers—up to eight at a time—and assembles them into a "train" that he or she pushes on the rollers past the storage racks holding source products.
To begin picking, the associate scans each container's label to let the WMS know the order of the containers in the train. The Jennifer voice system responds with specifics on the location of the first item needed. The associate moves the train to that location and reads off a check digit on the rack for verification. The Jennifer system then requests the required pick quantity. After the associate has selected the needed items and confirmed the quantity, the voice system directs him or her to place specific quantities of that item into the appropriate containers, according to their identification numbers. The associate then reads off a unique check digit located on the container ID label to assure the item or items have been placed in the correct container.
The voice system then provides the next location number, prompting the associate to move the train as needed and repeat the picking process. Once all of the items for a given container have been picked from that zone, the associate is instructed to push the container off onto the conveyor and complete picking with the remaining containers. Cartons and totes on the conveyors that require further picks are then diverted to additional zones, where the process is repeated until all orders are filled.
Blue totes are conveyed to the store shipping sorter, where the items are loaded for shipment to retail stores, while the red and yellow totes and the cartons are conveyed to pack stations. There are 26 stations for small-order packing, including Internet-based and store shipping orders. Employees scan arriving totes and cartons, which triggers the printers to generate packing lists. They then remove the items from the totes and verify them against the pack lists before packing them into shipping cartons. The items that were already picked into cartons are also verified against the packing lists.
Associate then apply bubble air wrapping from Sealed Air Corp. or kraft paper from Ranpak to protect any fragile products. After that, the cartons are automatically sealed, dimensioned, weighed, labeled, and then conveyed into parcel trucks.
FULLER FULFILLMENT
Meanwhile, case-level picking is performed in the three-level full-case pick module. Cases here are held in 320 pallet flow rack positions, each of which is double deep.
After gathering a stack of printed pick labels, associates begin the selection process under the direction of the Jennifer voice system. The order picker first scans the task ID, which is created to optimize batch picking and devise the optimal travel path. The system then directs the picker to the appropriate location, asking for a check digit for validation. Once the location is confirmed, the associate selects the needed cases, labeling them as he/she places them onto a conveyor belt that transports them to the shipping sorter.
Pack stations contain a selection of cartons and protective packing materials.
Conveyable cases that are not selected in the module, such as cases of slower-moving items, are picked from conventional racking to walkie-rider pallet trucks. Labels for these cases are staged at the beginning of work areas. An associate gathers the labels and follows the same selection process used in the pick module, except that the cases are placed on the walkie-rider pallet. Once complete, the pallet is driven to the closest induction point for manual placement on the conveyor. The conveyor routes cartons destined for direct-to-consumer orders to pack stations, while those heading to stores flow to the shipping sorter.
Larger, fragile non-conveyable each-pick items, such as trunks, trash cans, and under-bed storage boxes, are also picked to walkie-rider pallets or carts, depending on size. These are taken to 12 different pack stations that contain a selection of larger cartons and protective packing materials. At the pack stations, associates package the items in the appropriate shipping cartons, which are then sealed and conveyed to labelers. The packing area also contains an additional nine stations that are used for packing even larger non-conveyable products, such as shelving and closet units. Once packed, items from these bulky-item stations are loaded onto parcel carrier trailers.
The blue totes and more than 20,000 daily store-bound cartons merge together into a sliding shoe sorter that diverts them to one of 10 shipping lanes. When it's time for loading, associates first floor-load the cartons onto trailers. They then remove the plastic bags that hold the smaller less-than-case products in the blue totes and place them on top of the stacked cartons. Each outgoing truck is dispatched to a single store, with each store location receiving a shipment once a week on average.
PERFORMANCE CUBED
By all accounts, the new automated systems in Coppell have produced impressive results. Carovillano reports that the company has more than doubled the percentage of orders it can process within 48 hours—to 71 percent from 32 percent.
In addition to boosting DC throughput, the new equipment has reduced labor requirements by a full 14.5 percent. On top of that, it has solved the problem of getting orders out on time during peak periods, according to Parra. "With automation, we are now able to handle those spikes," she says.
The new systems have also made it easier for employees to handle goods once they arrive at the stores. "A huge benefit of the automation is that we now have a label on every carton that indicates the department and aisle where that product should go," says Carovillano. "We are hitting all of the benefits that we expected. It's been really great."
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]."