Faced with shifting order patterns and a fast-moving technology landscape, leaders at Scholastic Canada needed to make bold changes in their warehouse automation strategy. Robotics-as-a-service was the answer.
Victoria Kickham started her career as a newspaper reporter in the Boston area before moving into B2B journalism. She has covered manufacturing, distribution and supply chain issues for a variety of publications in the industrial and electronics sectors, and now writes about everything from forklift batteries to omnichannel business trends for DC Velocity.
E-commerce has changed the way just about every warehouse or distribution facility fills orders, but for Toronto-based publisher Scholastic Canada, the need to accommodate online ordering and other market shifts has sparked a sea change in its approach to warehouse automation. The Canadian arm of Scholastic, the more than 100-year-old multinational publisher of children’s books and educational media, the company has boosted productivity and reduced costs in its schools-based business since replacing an infrastructure-heavy automated warehouse system with a subscription-based mobile robotics solution that can adapt to shifting market demands. The system’s flexibility and its subscription-based pricing model are just what the company needed to address those changes and give operations managers the freedom to grow in a tough economy.
“The ability to lift and shift was crucial for us. We needed a system that we could easily move to a new facility,” explains Chad MacGillivray, Scholastic Canada’s vice president of distribution operations. He emphasizes rising industrial rents and the risks of investing in high-priced equipment in a fast-changing technology environment. “We didn’t want to invest a lot of [capital] to own anything that could become obsolete while it was still depreciating on our books.”
Thus the change in strategy. Scholastic Canada decided to partner with robotics-as-a-service (RaaS) provider inVia Robotics to develop a system that could accommodate the company’s growing need to fill orders from a wider range of inventory as customers gravitated to online shopping. The system pairs inVia’s warehouse automation software with autonomous mobile robots (AMRs) at Scholastic’s Markham, Ontario, distribution center (DC), just outside Toronto. The partners started by automating the facility’s picking process and then branched out to replenishment and cycle counting. The system went live about a year ago, and now the partners are expanding it to other business units in the DC—and preparing to “lift and shift” to a new facility next year.
As MacGillivray explains: “This, for us, was phase one—and it was really just the beginning.”
FROM FLYERS TO WEBSITES
Scholastic Canada’s business was steadily changing as e-commerce took hold, but the 2020 pandemic shifted things into high gear. Its schools-based business has long been rooted in book fairs and those familiar paper flyers delivered to classrooms. But when schools closed and switched to online instruction, the company’s order profile quickly changed. Instead of sending one large box to a classroom, the facility was filling 10 or 12 smaller boxes and delivering them to residential addresses, for instance. What’s more, online ordering gave customers access to a much broader range of stock-keeping units (SKUs), essentially allowing them to order from the full breadth of Scholastic Canada’s inventory, which can reach nearly 10,000 SKUs during peak season. The facility’s existing fulfillment solution included a traditional automated storage and retrieval system (AS/RS) and a network of conveyors that could divert items to various pick areas, where associates used pick-to-light or voice technology to fill orders. But as business needs shifted, the system couldn’t keep up with demand.
“Our previous system served us really well in the school market for a long time. We could build a zone, the conveyor would divert [boxes] to that zone, and [associates] could pick the order right there,” explains MacGillivray. “As we moved into e-commerce and online ordering, customers were ordering from the whole breadth of SKUs. Our pick area kept expanding, the walk area was larger, and it took longer to pick orders. We were looking for a solution [that would] reduce the walking and make it easier for us to pick the orders in a more dense way.”
They were also looking to reduce their reliance on warehouse labor, which was getting increasingly costly and difficult to find in the Toronto area—especially during peak shipping season. On top of that, rising real estate costs argued for a flexible system that would be easy to move if necessary.
KEEPING THE TRAFFIC FLOWING
InVia’s RaaS solution was the answer, and picking was the logical place to begin. As a first step, inVia reconfigured Scholastic Canada’s fulfillment workflows and created a digital twin of the facility to test them. Next, it implemented its inVia Logic warehouse automation software, an AI (artificial intelligence)-driven warehouse execution system (WES) that analyzes daily service-level agreements (SLAs) and builds a plan to execute and synchronize all fulfillment tasks to meet those needs. Essentially, the software orchestrates all of the resources in the facility so that orders are filled quickly and accurately.
The idea is to find the most efficient way to get orders out the door in an increasingly complex fulfillment landscape, explains inVia’s CEO, Lior Elazary.
“We offer a complete software suite that helps you manage resources inside the warehouse—forklift drivers, pickers, and pack out,” he explains. “[The system tells those resources] what to do, when to do it, and where inventory should be located.
“The warehouse is a huge traffic management problem,” he adds. “If you don’t do it right, it just jams up.”
InVia’s AMRs help keep the traffic flowing: All orders move from Scholastic Canada’s warehouse management software system (WMS) to inVia’s WES, which determines the orders to pick and when to pick them. The AMRs then take over, retrieving products from a designated set of storage shelves known as the “robotic grid.” Guided by a vision system and equipped with a shelf, a scissor lift that extends eight and a half feet high, and suction cups for gripping, the AMRs travel through the grid, grabbing the appropriate containers from the shelves and delivering them to inVia’s “Picker Wall,” a two-sided, dynamic pick/put wall. Associates take it from there, picking items from the wall to fill the day’s orders.
Elazary explains that the system optimizes both the robotic and human labor in the warehouse: The robots work nonstop overnight or early in the morning, stocking the PickerWall—which is essentially a long, open shelf—with containers of products needed for the day’s orders. Associates work on the other side of the wall, picking from the containers and depositing items for orders into designated boxes—all from a fixed location, and with the ability to take a break or shift to other tasks without holding up the fulfillment process. The strategy eliminates the friction that can occur when robots and humans interact, Elazary says.
“The system is already preparing the wall with all the containers the person has to pick from. So pickers come in and they’re not running around—and they’re not waiting on the robots,” he says. “We built this buffer to help alleviate that kind of contention.”
Elazary says the result is a faster, smoother-running system. And the results at the Markham DC back that up. From February 2023 through this past holiday peak season, MacGillivray says the facility experienced no sustained downtime—a feat that stands in stark contrast to a year earlier.
“In our [2022] peak, we had a total of 27 hours of sustained downtime,” he says. “That’s a lot of units you didn’t ship when you should have.”
InVia’s AMRs travel to other areas of the warehouse as well, delivering items to replenishment or discarding empty boxes. And they work within Scholastic Canada’s existing system—there was no special shelving or other infrastructure required to make the system work. The setup has allowed Scholastic Canada to double its pick rates using existing floor space and without having to add labor.
“We saw this as an opportunity to offset the challenge of finding people to hire,” explains MacGillivray. “It’s a natural effect of a more efficient system, [and we have] reduced our headcount through attrition more than anything else.”
FROM STATIC TO DYNAMIC
Scholastic Canada and inVia moved to phase two of their partnership last fall, extending the robotic fulfillment process to the facility’s trade business, which serves large retailers like Amazon, Canadian bookseller Indigo, and Walmart. The flexibility of the system and the freedom of the subscription-based model were the primary drivers behind the expansion, according to MacGillivray.
“I beat the drum over and over about [the value] of not owning anything right now,” he says, adding that the inVia partnership is not the only one through which the Markham DC is leasing equipment or AI-based software used in the building. “The technology is moving too fast. Not owning anything right now is really smart for operations leaders. You need to make sure you generate projects that you can shift and move to other areas as the technology [changes].”
Elazary agrees, explaining that inVia’s model includes continual upgrades and enhancements to both the software and hardware. Beyond that, inVia continuously optimizes the robots to integrate with each facility’s fulfillment processes. Pricing is based on the productivity of the entire system, rather than the number of units deployed. For instance, Scholastic Canada’s monthly subscription fee is based on the number of actions per hour (APH) the robots perform in order to meet the facility’s throughput needs.
“Our customers care about productivity, so we’re constantly upgrading the robots and the software,” Elazary says. “If we make [the robots] faster, it helps everybody. We are a robotics company. We know how to optimize the equipment. That, in a sense, is what our software does.”
Leaders at Scholastic Canada are preparing to put the system’s flexibility to the test in the year ahead with a move to a newly built facility in the Toronto area. MacGillivray says he expects to begin shipping orders from the new DC sometime in 2025—adding that it’s time to “take the lift-and-shift portion of this project and put it to work.”
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]."