It may not produce the adrenaline kick of Pac Man or Texas Hold 'Em poker, but simulation software can give you a flashy live-action 3D view of what proposed changes will really do to your DC operations.
John Johnson joined the DC Velocity team in March 2004. A veteran business journalist, John has over a dozen years of experience covering the supply chain field, including time as chief editor of Warehousing Management. In addition, he has covered the venture capital community and previously was a sports reporter covering professional and collegiate sports in the Boston area. John served as senior editor and chief editor of DC Velocity until April 2008.
If you had walked into Dave Zuern's office last fall, chances are you would have found Zuern and his team huddled around a computer screen. But this wasn't about a quick game of Everquest II or Texas Hold 'Em during lunch break. What the staffers at Briggs & Stratton were watching so intently was not doom-defying warriors, but tiny engine parts whizzing down virtual conveyor belts.
They may look like videogames with their 3D simulation and flashy graphics, but today's DC simulation software programs have nothing to do with entertainment. Like ERP or WMS systems, these programs are all business. The software Zuern used, for example, took the reams of data he entered and spit back highly detailed distribution profiles of some new product lines that will move through his company's new DC when it opens this fall, including their velocity, seasonality, expected order sizes and destinations. But perhaps more importantly, the program helped Zuern and his staff simulate the distribution center's operations under a variety of conditions and answer all the inevitable "what if" questions.
As for how all this came about, the story goes back to engine-maker Briggs & Stratton's decision to build a new 300,000-square-foot distribution center that will open this October. As the company's director of distribution operations, Zuern was put in charge of the project. Anxious for reassurance that the facility (and its rack and conveyor equipment) would be able to absorb the added volume, Zuern decided to run his data through FortnaDCmodeler, a simulation tool developed by Fortna, a consulting firm that offers design-integration services. "Your job is basically on the line here," says Zuern. When it comes to building or leasing a sizeable DC, he says, "it's good to have a tool like this to help you. I didn't want to build a brand new building and then figure out that it's full before it's even done."
In fact, that nearly happened. Within weeks of the time he started entering data into the program, Zuern had the results of the simulation in hand. And although they confirmed many of his assumptions about the new DC's operations, he also learned something that came as a distinct shock: he needed more building. To be precise, he learned that Briggs & Stratton would have to expand the facility's footprint by about 50,000 square feet if the company wanted to remain in the DC for at least 10 years as planned.
Those weren't exactly the results he was looking for, of course, but Zuern was grateful to have the simulation's findings all the same. For one thing, having hard data in hand made it that much easier to pitch the proposed expansion to management. "It's nice to be able to go back to our board and say we didn't just guess at this," says Zuern. "It may have cost us a few bucks, but we're confident that the amount we're asking the company to invest for this project is justified."
Quick fixes
It used to be that the typical simulation project ran pretty much along the lines of Briggs & Stratton's, but that's starting to change. Today, applications are no longer limited to large-scale projects like new DC design and construction. Falling prices and technological advances have made simulation affordable for smaller projects too—say, determining the best combination of material handling equipment, identifying potential bottlenecks in an expansion, or designing the optimal pick path.
"The software is definitely getting better," says Bob Silverman, president of Gross & Associates, a consultancy specializing in material handling logistics, "and [it's getting] easier to use." That's not to imply that the software has evolved to the stage where it runs itself. "There's still a significant training component," Silverman concedes, "but for people already trained in it, it's much faster to do the simulations."
In fact, Silverman reports that his firm is receiving more and more requests for quick-fix simulation projects that can suggest a solution to an individual problem within a couple of days. Gross & Associates, for example, recently conducted a "quick hit" simulation for a client that analyzed the transfer stations and interfaces between the manual and automated parts of its operation. The existing operation uses an automated guided vehicle (AGV) to feed and take pallets away from an automated storage/retrieval system (AS/RS). The AGV system is old and prone to breakdowns, so Gross & Associates designed a pallet conveyor-based replacement for the AGVs. The company then solicited quotes for the pallet conveyor system from three systems integrators, each of which came back with a different suggestion for modifications to the initial design.
To help it decide which approach to choose, the client asked Gross & Associates to run a simulation of each solution. That quick simulation of each of the proposed designs revealed that two of the three consistently achieved the required speeds based on different combinations of inputs. But the analysis also showed that the third was likely to fail with particular mixes. That was valuable information, says Silverman. "Without the simulation, we might have selected an option that would work fine on typical high-volume days, but not accommodate the required rate when out-of-the-ordinary conditions were experienced."
Endless opportunities
It may be best known for helping companies like Briggs & Stratton or Silverman's client avoid costly mistakes, but simulation software can also help uncover opportunities for savings. Take the case of Genesco, a retailer that specializes in footwear and accessories.
When Genesco designed its new DC several years ago, the original blueprint called for more than a half million square feet of space. But after running simulations of its operations at both current levels and with the higher volumes projected for the future, the company found it could cut back the square footage to 320,000 square feet, representing a substantial savings in real estate and capital equipment costs.
In addition, the simulation helped Genesco to consolidate three separate divisions (its retail store operations, its catalog operation and its direct delivery business) under one roof, while balancing the movement of highly seasonal goods and yearly growth of 20 percent. Aside from improving the center's ability to handle seasonal peaks, a new flow design for fast-moving stock-keeping units (SKUs) eliminated the need for replenishment for 50 percent of the company's product lines.
"Internet or direct-to-consumer orders are small one- or two-line orders and your operational costs can eat you alive because of the cost of picking those items," says David Farmer, vice president of sales at Fortna. "There are so many companies out there with multiple distribution channels, whether it's wholesale, retail or direct to consumer. Those orders alone all represent different businesses inside a DC, but simulation will allow you to create a virtual DC with each of those. We run the simulation model several times to capture exactly how the direct-to-consumer goods impact the DC layout, and the same for wholesale and retail. This helps to justify various storage media and layout options. The 'what if' games you can build with this are endless."
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]."
First, 54% of retailers are looking for ways to increase their financial recovery from returns. That’s because the cost to return a purchase averages 27% of the purchase price, which erases as much as 50% of the sales margin. But consumers have their own interests in mind: 76% of shoppers admit they’ve embellished or exaggerated the return reason to avoid a fee, a 39% increase from 2023 to 204.
Second, return experiences matter to consumers. A whopping 80% of shoppers stopped shopping at a retailer because of changes to the return policy—a 34% increase YoY.
Third, returns fraud and abuse is top-of-mind-for retailers, with wardrobing rising 38% in 2024. In fact, over two thirds (69%) of shoppers admit to wardrobing, which is the practice of buying an item for a specific reason or event and returning it after use. Shoppers also practice bracketing, or purchasing an item in a variety of colors or sizes and then returning all the unwanted options.
Fourth, returns come with a steep cost in terms of sustainability, with returns amounting to 8.4 billion pounds of landfill waste in 2023 alone.
“As returns have become an integral part of the shopper experience, retailers must balance meeting sky-high expectations with rising costs, environmental impact, and fraudulent behaviors,” Amena Ali, CEO of Optoro, said in the firm’s “2024 Returns Unwrapped” report. “By understanding shoppers’ behaviors and preferences around returns, retailers can create returns experiences that embrace their needs while driving deeper loyalty and protecting their bottom line.”
Facing an evolving supply chain landscape in 2025, companies are being forced to rethink their distribution strategies to cope with challenges like rising cost pressures, persistent labor shortages, and the complexities of managing SKU proliferation.
1. Optimize labor productivity and costs. Forward-thinking businesses are leveraging technology to get more done with fewer resources through approaches like slotting optimization, automation and robotics, and inventory visibility.
2. Maximize capacity with smart solutions. With e-commerce volumes rising, facilities need to handle more SKUs and orders without expanding their physical footprint. That can be achieved through high-density storage and dynamic throughput.
3. Streamline returns management. Returns are a growing challenge, thanks to the continued growth of e-commerce and the consumer practice of bracketing. Businesses can handle that with smarter reverse logistics processes like automated returns processing and reverse logistics visibility.
4. Accelerate order fulfillment with robotics. Robotic solutions are transforming the way orders are fulfilled, helping businesses meet customer expectations faster and more accurately than ever before by using autonomous mobile robots (AMRs and robotic picking.
5. Enhance end-of-line packaging. The final step in the supply chain is often the most visible to customers. So optimizing packaging processes can reduce costs, improve efficiency, and support sustainability goals through automated packaging systems and sustainability initiatives.
Keith Moore is CEO of AutoScheduler.AI, a warehouse resource planning and optimization platform that integrates with a customer's warehouse management system to orchestrate and optimize all activities at the site. Prior to venturing into the supply chain business, Moore was a director of product management at software startup SparkCognition. He is a graduate of the University of Tennessee, where he earned a Bachelor of Science degree in mechanical engineering.
Q: Autoscheduler provides tools for warehouse orchestration—a term some readers may not be familiar with. Could you explain what warehouse orchestration means?
A: Warehouse orchestration tools are software control layers that synthesize data from existing systems to eliminate costly delays, streamline inefficient workflows, and [prevent the waste of] resources in distribution operations. These platforms empower warehouses to optimize operations, enhance productivity, and improve order accuracy by dynamically prioritizing work continuously to ensure that the operation is always running optimally. This leads to faster trailer turn times, reduced costs, and a network that runs like clockwork, even during fluctuating demands.
Q: How is orchestration different from a typical warehouse management system?
A: A warehouse management system (WMS) focuses on tracking inventory and managing warehouse operations. Warehouse orchestration goes a step further by integrating and optimizing all aspects of warehouse activities in a capacity-constrained way. Orchestration provides a dynamic, real-time layer that coordinates various systems and processes, enabling more agile and responsive operations. It enhances decision-making by considering multiple variables and constraints.
Q: How does warehouse orchestration help facilities make their workers more productive?
A: Two ways to make labor in a warehouse more productive are to work harder and to work smarter. For teams that want to work harder, most companies use a labor management system to track individual performances against an expected standard. Warehouse orchestration technology focuses on the other side of the coin, helping warehouses "work smarter."
Warehouse orchestration technology optimizes labor by providing real-time insights into workload demands and resource availability based on actual fluctuating constraints around the building. It enables dynamic task assignments based on current priorities and worker skills, ensuring that labor is allocated where it's needed most, even accounting for equipment availability, flow constraints, and overall work speed. This approach reduces idle time, balances workloads, and enhances employee productivity.
Q: How can visibility improve operations?
A: Due to the software ecosystem in place today, most distribution operations are highly reactive environments where there is always a "hair on fire" problem that needs to be solved. By leveraging orchestration technologies, this problem is mitigated because you're providing the site with added visibility into the past, present, and future state of the operation. This opens up a vast number of doors for distribution leadership. They go from learning about a problem after it's happened to gaining the ability to inform customers and transportation teams about potential service issues that are 24 hours away.