Sagging electronics sales have driven PC makers to crank up the demands they make on the distributors that supply them with parts. One of those distributors has turned the crunch into an opportunity.
Peter Bradley is an award-winning career journalist with more than three decades of experience in both newspapers and national business magazines. His credentials include seven years as the transportation and supply chain editor at Purchasing Magazine and six years as the chief editor of Logistics Management.
When the electronics industry booms, so do the fortunes of the distributors that supply manufacturers like PC makers with the parts they use: microcontrollers, memory drives, power supplies and optoelectronics. But the corollary holds true as well: When sales in the PC and aerospace industries slip, it's the suppliers who feel the crunch almost immediately, glumly watching their earnings slide as their customers crank up their demands.
That's tough for those on the receiving end. As suppliers like Avnet Electronics Marketing have learned, many of their customers equate tightening their belts with tightening their inventories. That means they cut their own stocks to nothing—or nearly nothing—then demand that their distributors fill their orders at warp speed. At the same time, they place smaller orders and do it more frequently. Some customers now order the same part two or three times a week—and large customers will order a part two or three times a day, reports Jim Smith,senior vice president and director of operations for Avnet Electronics Marketing.
Because they carry virtually no safety stocks, Avnet's customers cannot give suppliers much leeway on delivery. Smith says that to win a "qualified supplier" designation with many of its customers, Avnet must guarantee delivery within a window that stretches from what he calls "three days early to zero days late." The window shrinks even further if you want to be a "preferred supplier," he adds.
Of course customers expect that speed with no sacrifice in accuracy and no increase in cost—a demand that's forced suppliers like Avnet to focus hard on their productivity levels. "Our challenge is to take the standard eight-hour work day and make it look like 16," Smith wryly observes.
Given its customers' reluctance to hold inventory, Avnet also has to make some tricky forecasting calls,balancing the risk of stockouts against the risk of getting stuck with inventory that could become obsolete virtually overnight. It has little to go on when creating those forecasts: In the electronics industry, historical data are not necessarily the best data for building forecasts."Looking in the rear view mirror while driving 80 miles per hour is unhealthy," Smith asserts. "We com bine historical information with customers' forecasts. We collaborate with suppliers to build forecasts. That way we're able to look at lead times and trends and make informed decisions.On the customer side, we're trying to work with customers to assure that the product sets they choose are easily available."
So far, at least, the company has succeeded in maintaining that delicate balance. The Electronics Marketing group, which is the largest operating group of Phoenix, Ariz.-based Avnet Inc., reported $5 billion in revenue in the fiscal year that ended in June.The group's core business is distributing semiconductors, interconnects, and passive and electromechanical components to electronic original equipment manufacturers, contract manufacturers and other businesses in 64 countries around the world. It currently serves more than 50,000 customers in the aerospace, military, industrial control and instrumentation industries, among others. Avnet is becoming increasingly active as a distributor of electronic components in the automotive and small appliance industries as well.
In the last few years, Avnet has been diversifying its business model, expanding beyond distributing electronics parts. Today, it provides other services, including engineering and design support as well as providing a lot of physical value-added services, Smith says. "We'll modify products to fit a customer's bill of material or identify it for processing in their plants. About 70 percent of our product goes out of the DCs modified in some way."
On the move
Faced with these challenges, Avnet Electronics Marketing's made substantial changes in its distribution operations in recent years. Where it once had 22 DCs, including six large centers, the group now operates 14 facilities, with two major locations. The two major locations are a 440,000-s quare-foot facility in Chandler, Ariz., and a 200,000-square-foot DC in Dallas. The Chandler facility has 326 employees, while the Texas operation has 356. Despite the added freight costs resulting from longer lengths of haul, Smith reports that centralizing operations has allowed the company to cut the cost per transaction by a considerable margin.
Those large facilities require sophisticated management systems. The Chandler facility, for instance, has 80,000 SKUs and processes 10,000 line items a day. The smaller Dallas DC has 50,000 SKUs and processes 5,000 line items a day. That volume and the small margin for error create enormous complexity.
To manage that, Avnet implemented the MOVE warehouse management system from Optum—a big departure from what had formerly been a largely manual operation. The WMS has been orchestrating operations in the large DCs since January 2001, when it was fully implemented.
Under the new paperless system, bar-code readers track inventory throughout the DC. When inbound products arrive, the system directs put away to take full advantage of cube within the DC. On the outbound side , the sys tem sends information to a wireless radio-frequency (RF) device. It has also helped keep picking tasks manageable: "With more than 400,000 square feet, the picks per order could be excessive," Smith says. "The system allows split picks independent of orders, which we aggregate on the outbound."
The process has proved so accurate that Avnet's been able to eliminate physical inventory counts. That's made everybody happy, Smith says. "When we had to do physical inventory, it took four months.We had to shut down product lines one at a time for 10 days. Now that we've eliminated the physical inventory, customer satisfaction has increased because we don't have to shut down operations."
In the bag
How does a typical order move through the system? Scott Garrett, director of warehousing operations, provides a rundown. "Once an order is entered in the mainframe, it goes through a number of checks," he says."When all those gates are passed, it's then downloaded into the WMS. The system tells the operator the location, then confirms the location. The operator scans the "license plate" bar code on the box and the system says to pick X number of parts and put the balance back on the shelf."
Small parts are placed in a bag, which is then sealed. The system automatically prints out the unit container label. That label includes the purchase order number, the part numbers and the quantities. The bag then goes into a tote. "The license plate in the bag is married to the license plate on the tote," Garrett explains. The tote is then routed to the next location, eventually making its way to a direct ship, aggregation or special handling area.
The system walks the operators through the packaging requirements. A shipping label generated by the system is automatically applied, and finally the shipment is diverted directly to the back of a truck.
"We have just over three miles of conveyor system in the building," Garrett says. (The conveyor system was designed and installed for Avnet by material handling consultants Fortna.) "All the picking locations feed into a main distribution loop. Once an order goes into packaging, it goes through a second distribution loop."
Garrett says that receiving activity, which follows a similar process, begins at 5 a.m. in the Chandler DC. License plates are applied as goods are received, and then the WMS takes over to direct putaway activities.
"When we open the DC in the morning, we have no idea what's coming our way," says Smith. "We receive 3,000 to 4,000 shipments a day, which may come in with unique demands for receiving, picking and reshipping." Yet its customers still continue to push the envelope: Avnet recently received requests to extend the shipping day, allowing customers to order later and still get quick shipments. The distributor was able to respond to that demand, Smith reports. Orders now can arrive as late as 6 p.m. and still meet cutoffs.
In fact,the system enables Avnet to turn inventory quickly, with a large portion of inbound goods being shipped the same day. But speed isn't everything; the system must be flexible as well. Garrett reports that the system meets this requirement, allowing the DC to shift order priorities on the fly. "We can make a hot order the next pick in the warehouse," he says.
Smith believes the new system gives his company a huge competitive advantage. "We can turn products extremely fast," he says. "Under the old way, we were lucky to find the packing slip. This system allows us flexibility by sequencing orders based on business rules we've put in place. If Scott wants to change the rules for a certain set of products, he can do so. It gives us a lot of flexibility."
"The system has helped us improve our accuracy tremendously," Garrett agrees. "The other thing is that we've been able to mine data and capture activity.We can drill down to the individual operator or a particular area. We've coupled that with incentive systems [for employees]. We've linked those together for quality and productivity."
That clash has come as retailers have been hustling to adjust to pandemic swings like a renewed focus on e-commerce, then swiftly reimagining store experiences as foot traffic returned. But even as the dust settles from those changes, retailers are now facing renewed questions about how best to define their omnichannel strategy in a world where customers have increasing power and information.
The answer may come from a five-part strategy using integrated components to fortify omnichannel retail, EY said. The approach can unlock value and customer trust through great experiences, but only when implemented cohesively, not individually, EY warns.
The steps include:
1. Functional integration: Is your operating model and data infrastructure siloed between e-commerce and physical stores, or have you developed a cohesive unit centered around delivering seamless customer experience?
2. Customer insights: With consumer centricity at the heart of operations, are you analyzing all touch points to build a holistic view of preferences, behaviors, and buying patterns?
3. Next-generation inventory: Given the right customer insights, how are you utilizing advanced analytics to ensure inventory is optimized to meet demand precisely where and when it’s needed?
4. Distribution partnerships: Having ensured your customers find what they want where they want it, how are your distribution strategies adapting to deliver these choices to them swiftly and efficiently?
5. Real estate strategy: How is your real estate strategy interconnected with insights, inventory and distribution to enhance experience and maximize your footprint?
When approached cohesively, these efforts all build toward one overarching differentiator for retailers: a better customer experience that reaches from brand engagement and order placement through delivery and return, the EY study said. Amid continued volatility and an economy driven by complex customer demands, the retailers best set up to win are those that are striving to gain real-time visibility into stock levels, offer flexible fulfillment options and modernize merchandising through personalized and dynamic customer experiences.
Geopolitical rivalries, alliances, and aspirations are rewiring the global economy—and the imposition of new tariffs on foreign imports by the U.S. will accelerate that process, according to an analysis by Boston Consulting Group (BCG).
Without a broad increase in tariffs, world trade in goods will keep growing at an average of 2.9% annually for the next eight years, the firm forecasts in its report, “Great Powers, Geopolitics, and the Future of Trade.” But the routes goods travel will change markedly as North America reduces its dependence on China and China builds up its links with the Global South, which is cementing its power in the global trade map.
“Global trade is set to top $29 trillion by 2033, but the routes these goods will travel is changing at a remarkable pace,” Aparna Bharadwaj, managing director and partner at BCG, said in a release. “Trade lanes were already shifting from historical patterns and looming US tariffs will accelerate this. Navigating these new dynamics will be critical for any global business.”
To understand those changes, BCG modeled the direct impact of the 60/25/20 scenario (60% tariff on Chinese goods, a 25% on goods from Canada and Mexico, and a 20% on imports from all other countries). The results show that the tariffs would add $640 billion to the cost of importing goods from the top ten U.S. import nations, based on 2023 levels, unless alternative sources or suppliers are found.
In terms of product categories imported by the U.S., the greatest impact would be on imported auto parts and automotive vehicles, which would primarily affect trade with Mexico, the EU, and Japan. Consumer electronics, electrical machinery, and fashion goods would be most affected by higher tariffs on Chinese goods. Specifically, the report forecasts that a 60% tariff rate would add $61 billion to cost of importing consumer electronics products from China into the U.S.
In his best-selling book
The Tipping Point, journalist and author Malcolm Gladwell describes the concept of a tipping point as "that magic moment when an idea, trend, or social behavior crosses a threshold, tips, and spreads like wildfire."
In the warehousing and freight transport world, that definition could very easily apply as well to the rise of artificial intelligence (AI) and its rapid infiltration into just about every corner of the technological ecosphere. That's driving an accelerating evolution in transportation management systems (TMS), those tech platforms that do everything from managing rates, finding trucks, and optimizing networks to booking loads, tracking shipments, and paying freight bills. They are incorporating AI tools to help shippers and carriers work smarter, faster, and better than ever before.
"Twenty years ago, we could not build [and operate] software with the capacity to store and access huge caches of historical information and data and calculate [things like] 10-dimensional optimization," recalls Pawan Joshi, chief strategy officer for
e2open, a leading developer of transportation management software. "We didn't have the data or the computing resources to build these decision-making models." With the advent of artificial intelligence and the extremely powerful computing resources behind it, "now we have the computing power with the speed to do it."
A CONTINUING JOURNEY
Srini Rajagopal, vice president of logistics product strategy for
Oracle, sees AI as just the latest step in the continuing journey of maturity and innovation in the TMS space. He breaks the development of AI into two parts. "The first is the standard, classic AI model. These support specialized [computing and analytics] models built for specific purposes," such as developing optimization and consolidation plans, routing or ETA predictions for trucking, or cycle-time predictions for warehouses.
The next step is "generative AI, which has come about because of the maturity of the large language models (LLMs) now available," he explains. This development allows the software to interact with users in a natural language format, creating new opportunities for task automation in the typical cycle of transportation planning, execution, and exception management.
"What we use that for is [to give the model] the ability to interact [with a user] in a natural language format and then do reasoning about what actions to take [based on the user's input]."
He cites as one example the returns process, where typically a customer service agent will engage with a customer and answer questions over the phone. "The AI agent can take over a lot of that role, responding to the customer's questions by voice and making recommendations based on the user's input." That frees up time for the human agent, who now may have to intervene only with a small portion of questions that the AI agent cannot handle. "Now the human agent has more time to focus on other, more complex or higher value-added tasks," he notes.
ROI STILL RULES
Yet even with the advent of more advanced and sophisticated machine learning algorithms and artificial intelligence taking on more complex tasks, at the end of the day, "when it comes to execution, that's where the rubber meets the road," says Oracle's Rajagopal about the principal role of a TMS and the realizable and measurable results it can provide.
That should be the priority, he notes: Value measured, quantified, and validated across numerous metrics—whether it's lower operating costs; more efficient, less error-prone processes; better transportation procurement; or optimized and more productive use of assets and people.
One shipper cites his rule of thumb for ROI (return on investment) as being "for every dollar spent on a TMS annually, it should return at least $2 in direct annual cost savings and/or productivity gains."
Those gains can be measured in a host of ways, notes Rajagopal. "It might be something as simple as billing accuracy," he says. "Are you getting paid accurately for your services, billing correctly, eliminating duplicate bills?" Then there are what he calls the "soft" benefits, such as user productivity and time savings from automating tedious, manual tasks. "Is your dispatcher or planner able to do more in a day with the new system?" he asks.
"ROI is all about knowing how you were doing before, quantifying the as-is state and what it costs you, and then, as you implement, measuring what it looks like in the new state and validating that you, in fact, got the savings expected."
CONNECTIVITY AND VISIBILITY
Tom McLeod, president and chief executive officer of
McLeod Software, has spent decades helping truckers and brokers use technology to work better, smarter, and more efficiently. Over those decades, he says, two demands from customers have remained constant: connectivity and visibility. "That's been an ongoing theme in technology development for our industry in the last 10 years," he notes.
He sees AI as a tool that will streamline the exchange of information between shippers and carriers, ultimately improving the executional accuracy and efficiency of the transportation planning and execution lifecycle.
One key foundational aspect of achieving that goal is integration and how effectively and seamlessly companies like McLeod and other TMS operators can help customers accomplish and maintain that. It's a continuing challenge that gets more complex but also is benefiting from technology advancements that make the task both simpler and faster to accomplish.
"We have seen a real explosion of integration requests and requirements," McLeod says. "More and more companies are coming into the market providing information services, and the pace of change is accelerating."
McLeod's focus has been "to offer the … best integration to our customers so that they have a chance to compete. And to have an open platform that enables them to do so," he says, adding that "once it's complete, that process needs to be automated, with the information going where it's needed, and being accurate and reliable." And for the technology providers to be adaptable as the industry continues to change and new solutions come on the market.
McLeod supports this strategic imperative through its Certified Integration Partner program, which offers off-the-shelf, supported integration solutions for over 180 different trucking industry software products or services, from over 130 different companies.
Even with the advances in TMS platforms, in the trucking world, there are still "a lot of niche markets that require almost totally different services" as well as a lot of repetitive, manual tasks still waiting for automated solutions, says McLeod. He sees significant opportunities for TMS providers to help customers truly re-engineer their operations, addressing important metrics such as reducing deadhead miles, increasing revenue per mile, and getting more revenue per employee.
"It's not for the faint of heart," he adds. "As apps get more sophisticated, it is important for us to continue to handle more and more details, on a more automated basis. That's what carriers want and need to help them better serve their customers, keep costs in line, and compete."
Nevertheless, with all the promise of technology and the opportunities for AI to accelerate the shift to automation, "it is still a relationship business, between people who need to ship goods and those who provide the assets, resources, and expertise to do that," McLeod stresses.
"Even as routine transactions are automated, when it is crunch time and there is a problem, people still want to have someone on the other end they can reach out to, that they know and trust," he says. "Technology cannot get in the way of strengthening those relationships—or replacing them. It must support and facilitate that."
NO PATCHWORK QUILT
As the nation's largest broker and freight forwarder,
C.H. Robinson (CHR) has a view of the market—and the role of technology in it—that could certainly be considered informed. With integrated management services that touch every mode of transportation, both nationally and globally, the company has a deep view into the needs and wants of shippers worldwide—and how technology can address those needs.
One recurring theme among CHR's customers, says Jordan Kass, CHR's president of managed solutions, is "shippers are not looking for a point solution anymore. They don't like the idea of a patchwork quilt. They want one pane of glass [through which] they can see and control their entire supply chain," he notes, adding that over 50% of CHR's revenues come from customers who use both its forwarding and surface transportation management capabilities, across modes.
He believes that is a function of shippers who are stressed to the max, are coping with a shortage of supply chain talent, "and are being asked to do much more with much less."
For CHR, he cites as a key advantage its proprietary TMS—which is both global and multimodal—and an engineering team that continually works to improve and expand its capabilities. He also believes the advent of AI will be incredibly transformative for the industry.
"Because we are building [the TMS] and using it at the same time, we have a really unique and valuable eye into how it performs and what customers want and need. As we operate the platform, we identify use cases with our customers and then go to our engineering team to build a solution," he notes.
Kass says CHR's technology approach as a builder and operator of its TMS gives it a unique look into "how transformative AI can be in this space and how we can lean into some of the larger problems that shippers are dealing with."
As one example, he cites CHR's development and implementation of "touchless" appointments for freight pickup and delivery. "If you think back, making a [pickup or delivery] appointment used to take multiple tries [with phone calls, texts, and emails], and it sometimes required more than a day to get that appointment in place," he recalls.
With its AI-driven process, "now we are doing that in under two seconds, greatly enhancing the speed of that process and adding huge value to it."
CHR has data on 35 million shipments a year, Kass says. That data informs the AI engine, which in determining the ideal appointment time, will consider things like patterns in transit time along a route, on-time performance, and dwell time at a facility. It will even take into account what's ideal for the carrier.
For example, Kass says "carriers in South Dakota need a longer time to get to the point of origin because they're typically traveling farther, so a 6 a.m. pickup appointment isn't good for them, while a 6 a.m. pickup appointment in an urban area might be great for a carrier because it can avoid traffic. The data [accounts for] these things better than a human can."
One area that TMS providers need to improve upon is predictive capabilities, Kass believes. With AI, "as you feed more data into the system, the more accurate you get." With that come more opportunities to expand the platform to automate and streamline tasks that continue to be done manually. It also helps the TMS get better at interacting in real time with transportation processes and accurately predicting outcomes. "We have the scale, and with AI, the more you feed it, the more intelligent it becomes."
IT STILL COMES DOWN TO COST
Even with the inexorable march of technology, its permutations of AI, and its promise for positive change and automation that helps its human partners work smarter, faster, and better, in the end, it still comes down to cost—measuring and weighing what's being spent on the TMS against the operational cost savings and productivity being realized.
"The shipper's main concern is still cost," says Bart De Muynck, principal at consulting firm
Bart De Muynck LLC. "That comes from a couple of areas. One is to better optimize the freight spend. Second [is to] put in a better process for the shipper to tender freight to the carrier and for the carrier to [handle] that freight in the lowest-cost manner possible. [Yet another is to obtain] transparency, providing better insights into how the shipper is procuring capacity so shippers end up with reliable, quality capacity at the most affordable rates."
And as technology has become simpler to integrate, implement, and use, "everyone can and should buy a TMS," De Muynck says. "There are many flavors; they have become more intuitive, faster, and easier to use." It's not about offering completely different things, he adds. "It's about streamlining the user activity and how the systems perform everyday tasks, making the job easier, and making it easier, more convenient, and less costly for the shipper to work with the carrier."
Not so fast …
After seeing the possibilities of what a TMS can do, companies sometimes will be in a rush to get their solution implemented and operating. That can be a mistake that leads to errors and an unsatisfactory outcome, says Keith Whalen, corporate vice president of product management for TMS provider
Blue Yonder.
Shippers should make sure they take the time to "focus not only on the really important cost savings, but also, when you scale volume, on doing performance testing" to ensure assumptions are holding up and performance meets expectations, he notes. "Not just [testing] the initial design and integration, but having a more holistic view in all areas, leaving adequate time and not rushing through. Don't skip steps," he advises.
Whalen counsels customers to spend the time and effort up front on knowing their current state, modeling out what they want the future state to look like, and, importantly, planning for training and change management to bring users who will be operating the platform successfully into the new realm.
"I think one of the things we do a really good job at is up front in the initial modeling," he notes. "The customer should be examining opportunities across its transportation network [and] do 'what if' analyses to look not only for savings, but also at where [it might get] the biggest bang for the buck." Such efforts might look at a nearshoring strategy and how it changes the supply chain, a decision on fleet asset deployment or type of service, or warehousing locations to optimize the network and respond to a shifting supply chain.
"That modeling and initial ROI calculation builds the business case. It not only justifies the deployment of the TMS, but also provides the guidance on how to roll it out as they go through their projects," he notes.
Lastly, he stresses that training the operating team, helping them change and evolve from past practice, and transition effectively to the new tools, can be the difference between success and failure.
Distribution centers (DCs) everywhere are feeling the need for speed—and their leaders are turning to automated warehouse technology to meet the challenge, especially when it comes to picking.
This is largely in response to accelerating shipment volumes and rising demand for same-day order fulfillment. Globally, package deliveries increased by more than 50% between 2018 and 2020, and they have been steadily growing ever since, reaching an estimated 380 billion last year on their way to nearly 500 billion packages shipped in 2028, according to a 2024 Capital One Shopping research report. Same-day delivery is booming as well: The global market for same-day delivery services was nearly $10 billion in 2024 and is expected to rise to more than $23 billion by 2029, according to a January report from consultancy The Business Research Co.
Adopting technologies that can boost DC throughput rates while improving accuracy and efficiency can go a long way toward helping companies keep up with those changes. Two recent projects reveal how both simple and more complex systems are answering the call for higher-velocity operations in DCs of all types and sizes.
FROM PAPER TO VOICE
Pickers at European fruit and vegetable wholesaler Gebr. Gentile AG are working faster and making fewer errors in getting fresh produce out the door after a pick-by-voice solution was installed at the wholesaler's Näfels, Switzerland, logistics center in 2023. Company leaders implemented Lydia Voice from logistics technology vendor Erhardt + Partner Group, allowing the wholesaler to move from a paper-based picking system to an automated one that has streamlined the process and is helping workers get the thousands of shipments that move through the nearly 10,000-square-foot refrigerated facility each day out the door quickly.
"The products stay in our warehouse for an average of 0.7 days, meaning the goods that come in are immediately shipped out again," Renato Häfliger, managing director at Gentile AG, said in a statement describing the project late last year. "We handle approximately 80 to 100 tons of goods daily. Ideally, our inventory rotates quickly, ensuring maximum product freshness."
In all, the Näfels facility handles between 200 and 300 different items for roughly 200 customers.
"On average, this corresponds to 6,000 to 10,000 shipping units that our pickers must process daily," Häfliger adds. "Each order involves about 20 to 60 picks. Using paper lists made this process challenging, as employees never had both hands free. This led to errors and noticeably slowed down the workflow."
Häfliger and his colleagues wanted a hands-free solution that would speed up the picking process—but they couldn't afford the downtime of a complex IT project or the added time to train both regular and seasonal workers on a new system. The beauty of the voice-picking system was that it could be used by any worker without prior training—regardless of gender, accent, or dialect—and could be installed and up and running quickly. That's because the system uses deep neural networks—technology that simulates human brain activity, particularly pattern recognition—to learn and understand language instantly. The software acts as a voice assistant, guiding workers through the picking process via a headset and wearable computer—leaving workers' hands and eyes free for picking tasks. The technology can be integrated into any enterprise resource planning (ERP) system or warehouse management system (WMS) so that work flows seamlessly to the pickers on the floor.
Häfliger says the system proved to be "very easy and intuitive to use during testing, so it [was] ready to go immediately. This was one of the main reasons why we quickly decided on this system, as we employ many seasonal workers in addition to our core team. Long training periods are simply not an option for us."
Today, workers are picking faster, with fewer errors, and orders are moving more swiftly through the Näfels DC—Häfliger cites a double-digit increase in efficiency since switching from paper to voice.
ROBOTS TO THE RESCUE
Sometimes, DC operations call for even more automation to best respond to their picking challenges.
That was the case for contract logistics services specialist DHL Supply Chain when business leaders there were looking for a way to improve warehouse operations in the company's health-care fulfillment business.
Workers supporting one of DHL's health care-focused clients were using a manual, cart-based picking system that simply wasn't allowing them to keep up with the fast-paced facility's fulfillment demands. Pushing heavy carts long distances throughout the warehouse left associates fatigued at the end of the day, slowed the overall fulfillment process, and opened the door to errors. DHL Supply Chain leaders needed a system that would alleviate the physical strain on workers, cut cycle times, and improve quality. They turned to warehouse automation vendor Locus Robotics to solve the problem, ultimately deploying 100 autonomous mobile robots (AMRs) to boost picking operations.
Today, the AMRs work alongside pickers, directing them to bin locations throughout the warehouse via the most efficient path—eliminating the need for pickers to push those heavy carts long distances and allowing for hands-free picking directly into shipping boxes. The AMRs then deliver completed orders to the next stage of the process on their own.
DHL Supply Chain has been reaping big rewards since launching the AMR system in 2018. The "pick-to-box" approach has helped reduce errors by 50% and has boosted efficiency by eliminating the need for a separate packing area in the warehouse. Cycle time for orders has fallen by 60%, worker training time has decreased by 90%, and pickers are feeling less fatigued.
"By replacing carts with AMRs, DHL saw increased consistency in warehouse associate output, as the physical demands of walking long distances with heavy loads were minimized," leaders at Locus Robotics explained in a case study about the project. "By integrating [AMRs], DHL improved order quality, reduced operational touchpoints, and enabled rapid cycle times—all essential for a health care-focused supply chain."
Demand for AMRs and similar automated material handling equipment is unlikely to slow in the years ahead: The global market for logistics automation was valued at $34 billion last year and was projected to reach more than $37 billion this year, rising to an expected $81.5 billion in 2033, according to data published last fall by Straits Research. Hardware—which includes AMRs, automated storage and retrieval systems (AS/RS), automated sorting systems, and the like—is the driving force behind that market growth, according to the research.
Such anticipated demand circles back to those accelerating shipment volumes: The Straits research also found that more than a third of material handling executives said their primary need for implementing DC automation is to fill more orders—faster and at a lower cost.
That strategy is described by RILA President Brian Dodge in a document titled “2025 Retail Public Policy Agenda,” which begins by describing leading retailers as “dynamic and multifaceted businesses that begin on Main Street and stretch across the world to bring high value and affordable consumer goods to American families.”
RILA says its policy priorities support that membership in four ways:
Investing in people. Retail is for everyone; the place for a first job, 2nd chance, third act, or a side hustle – the retail workforce represents the American workforce.
Ensuring a safe, sustainable future. RILA is working with lawmakers to help shape policies that protect our customers and meet expectations regarding environmental concerns.
Leading in the community. Retail is more than a store; we are an integral part of the fabric of our communities.
“As Congress and the Trump administration move forward to adopt policies that reduce regulatory burdens, create economic growth, and bring value to American families, understanding how such policies will impact retailers and the communities we serve is imperative,” Dodge said. “RILA and its member companies look forward to collaborating with policymakers to provide industry-specific insights and data to help shape any policies under consideration.”