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, an editor at large for Supply Chain Quarterly, 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 Supply Chain Quarterly's sister publication, 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.”
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.
The practice consists of 5,000 professionals from Accenture and from Avanade—the consulting firm’s joint venture with Microsoft. They will be supported by Microsoft product specialists who will work closely with the Accenture Center for Advanced AI. Together, that group will collaborate on AI and Copilot agent templates, extensions, plugins, and connectors to help organizations leverage their data and gen AI to reduce costs, improve efficiencies and drive growth, they said on Thursday.
Accenture and Avanade say they have already developed some AI tools for these applications. For example, a supplier discovery and risk agent can deliver real-time market insights, agile supply chain responses, and better vendor selection, which could result in up to 15% cost savings. And a procure-to-pay agent could improve efficiency by up to 40% and enhance vendor relations and satisfaction by addressing urgent payment requirements and avoiding disruptions of key services
Likewise, they have also built solutions for clients using Microsoft 365 Copilot technology. For example, they have created Copilots for a variety of industries and functions including finance, manufacturing, supply chain, retail, and consumer goods and healthcare.
Another part of the new practice will be educating clients how to use the technology, using an “Azure Generative AI Engineer Nanodegree program” to teach users how to design, build, and operationalize AI-driven applications on Azure, Microsoft’s cloud computing platform. The online classes will teach learners how to use AI models to solve real-world problems through automation, data insights, and generative AI solutions, the firms said.
“We are pleased to deepen our collaboration with Accenture to help our mutual customers develop AI-first business processes responsibly and securely, while helping them drive market differentiation,” Judson Althoff, executive vice president and chief commercial officer at Microsoft, said in a release. “By bringing together Copilots and human ambition, paired with the autonomous capabilities of an agent, we can accelerate AI transformation for organizations across industries and help them realize successful business outcomes through pragmatic innovation.”
That challenge is one of the reasons that fewer shoppers overall are satisfied with their shopping experiences lately, Lincolnshire, Illinois-based Zebra said in its “17th Annual Global Shopper Study.” While 85% of shoppers last year were satisfied with both the in-store and online experiences, only 81% in 2024 are satisfied with the in-store experience and just 79% with online shopping.
In response, most retailers (78%) say they are investing in technology tools that can help both frontline workers and those watching operations from behind the scenes to minimize theft and loss, Zebra said.
Just 38% of retailers currently use artificial intelligence-based prescriptive analytics for loss prevention, but a much larger 50% say they plan to use it in the next one to three years. Retailers also said they plan to invest in self-checkout cameras and sensors (45%), computer vision (46%), and RFID tags and readers (42%) within the next three years to help with loss prevention.
Those strategies could help improve the brick-and-mortar shopping experience, as 78% of shoppers say it’s annoying when products are locked up or secured within cases. Part of that frustration, according to consumers, is fueled by the extra time it takes to find an associate to them unlock those cases. Seventy percent of consumers say they have trouble finding sales associates to help them during in-store shopping. In response, some just walk out; one in five shoppers has left a store without getting what they needed because a retail associate wasn’t available to help, an increase over the past two years.
Additional areas of frustrations identified by retailers and associates include:
The difficulty of implementing "click and collect" or in-story returns, despite high shopper demand for them;
The struggle to confirm current inventory and pricing;
Lingering labor shortages; and
Increasing loss incidents.
“Many retailers are laying the groundwork to build a modern store experience,” Matt Guiste, Global Retail Technology Strategist, Zebra Technologies, said in a release. “They are investing in mobile and intelligent automation technologies to help inform operational decisions and enable associates to do the things that keep shoppers happy.”
The survey was administered online by Azure Knowledge Corporation and included 4,200 adult shoppers (age 18+), decision-makers, and associates, who replied to questions about the topics of shopper experience, device and technology usage, and delivery and fulfillment in store and online.