James Cooke is a principal analyst with Nucleus Research in Boston, covering supply chain planning software. He was previously the editor of CSCMP?s Supply Chain Quarterly and a staff writer for DC Velocity.
Earlier this year, one of the truckers in Kimberly-Clark's carrier base went out of business. But the personal and health-care products giant wasn't caught flat-footed.
Kimberly-Clark was able to swiftly analyze the ramifications for its distribution network by using special software. "We modeled the impact [of the carrier's exit,] including how much incremental capacity we needed to acquire from our other carriers," says Tim Zoppa, transportation center of excellence manager at Kimberly-Clark.
Kimberly-Clark is a pioneer in the use of a new type of forward-looking transportation software that helps shippers plan for their future truck capacity needs. Historically, transportation management systems (TMS) have focused on shipment execution, handling tasks like carrier selection, load tendering, and freight management. But they haven't been much use in helping shippers project their capacity needs out into the future.
"TMS applications are very good at optimizing within the order-delivery planning horizon," says Gartner analyst Dwight Klappich. "But they are not good at forward planning—weeks, months, quarters in advance."
Although companies have tried using other demand forecasting and procurement applications to determine how many and what type of carriers they'll need, Klappich says they haven't had much success. In his view, so-called "product-centric planning tools" are not suited to transportation planning because they can't get down to the required level of detail. In other words, they can't look at future capacity needs by lane, carrier, or piece of equipment.
Gary Girotti, a vice president at the supply chain consulting firm Chainalytics, agrees that traditional demand planning software isn't suited for the job of forecasting transportation needs. "People have tried to apply forecasting systems from products to transportation, and it just doesn't work. Demand plans do not care about modes," says Girotti. "That's why we need special tools."
THE NEW ARRIVALS
The good news for shippers is that in the past few years, a number of software developers have stepped forward to provide these special tools.
One such vendor is JDA Software Inc., which developed the application used by Kimberly-Clark. Called Transportation Modeler, the software is designed to draw data from the vendor's own TMS but can also be used on a stand-alone basis.
Kimberly-Clark (KC) has been using the software since 2006 to optimize shipments from more than 100 distribution centers in North America, using about 100 carriers. (Although KC has an extensive carrier base, it should be noted that most of the company's shipment volume is concentrated with fewer than 10 carriers.)
Zoppa of Kimberly-Clark says his company uses the tool to analyze the effect of shipping network changes on load planning. For example, if the company gets a lower price quote from a carrier, it might use the software to model how shifting freight to the new carrier would affect overall load tendering patterns.
"We can run changes through the model to figure out how it will impact freight expense or how it will affect participation [in shipping movements] by each carrier," says Zoppa. He adds that one of the biggest pluses from his company's perspective is that the optimization engine in the modeling tool is the same engine used in the TMS that manages K-C's day-to-day transportation operations.
JDA isn't the only software developer selling this type of application. A German TMS provider, inet-logistics GmbH, also offers a strategic planning module as part of its solution.
Inet-logistics' strategic planning module uses both forecasts and historical data on freight movements to run a simulation to provide a "picture of prospective transportation activity," says Werle Oswald, the company's chief executive officer. He adds that the module helps shippers optimize costs and capacity requirements within a network.
Another vendor offering software for transportation planning is Terra Technology, a supply chain planning software specialist. Terra has an application called Transportation Forecasting that's designed to assist with capacity planning. The software uses historical shipment data drawn from the manufacturer's enterprise resource planning (ERP) system to produce a daily forecast of shipping needs by lane and mode.
The forecasting application also allows users to plan ahead for special shipping requirements. For example, it can take marketing plans for product promotions weeks in advance and use the data to help determine how much freight capacity the company should reserve from its carriers, says Robert F. Byrne, Terra Technology's president and CEO. "Shifts in sourcing and volumes due to changes in manufacturing capabilities are also reflected in the logistics forecast," says Byrne, "so contracts and budgets can be more effectively managed."
PREPARING FOR A CRUNCH
For all its potential as an advanced planning tool, transportation forecasting software has yet to see widespread adoption by shippers. Klappich attributes that to the relative ease with which shippers can find a carrier willing to move a load for a reasonable rate these days.
"When capacity is plentiful, you figure anytime you want a carrier, you can get a carrier," Klappich says.
But that could well change if the predicted trucking capacity shortage materializes, Klappich warns. As shippers find themselves going farther down their carrier lists to locate a trucker willing to haul a load, their attitude will change, he predicts. "We'll see more interest in transportation forecasting over the next few years as capacity dries up."
A coalition of truckers is applauding the latest round of $30 million in federal funding to address what they call a “national truck parking crisis,” created when drivers face an imperative to pull over and stop when they cap out their hours of service, yet can seldom find a safe spot for their vehicle.
According to the White House, a total of 44 projects were selected in this round of funding, including projects that improve safety, mobility, and economic competitiveness, constructing major bridges, expanding port capacity, and redesigning interchanges. The money is the latest in a series of large infrastructure investments that have included nearly $12.8 billion in funding through the INFRA and Mega programs for 140 projects across 42 states, Washington D.C., and Puerto Rico. The money funds: 35 bridge projects, 18 port projects, 20 rail projects, and 85 highway improvement projects.
In a statement, the Owner-Operator Independent Drivers Association (OOIDA) said the federal funds would make a big difference in driver safety and transportation networks.
"Lack of safe truck parking has been a top concern of truckers for decades and as a truck driver, I can tell you firsthand that when truckers don’t have a safe place to park, we are put in a no-win situation. We must either continue to drive while fatigued or out of legal driving time, or park in an undesignated and unsafe location like the side of the road or abandoned lot,” OOIDA President Todd Spencer said in a release. “It forces truck drivers to make a choice between safety and following federal Hours-of-Service rules. OOIDA and the 150,000 small business truckers we represent thank Secretary Buttigieg and the Department for their increased focus on resolving an issue that has plagued our industry for decades.”
Robotic technology has been sweeping through warehouses nationwide as companies seek to automate repetitive tasks in a bid to speed operations and free up human labor for other activities. Many of those implementations have been focused on picking tasks, a trend driven largely by the need to fill accelerating e-commerce orders. But as the robotic-picking market matures and e-commerce growth levels off, the robotic revolution is shifting behind the picking lines, with many companies investing in pallet-handling robots as a way to keep efficiency gains coming.
“Earlier in this decade and the previous decade, we [saw] a lot of [material handling] transformation around e-commerce and the handling of goods to order,” explains Josh Kivenko, chief marketing officer and senior vice president at Vecna Robotics, which provides autonomous mobile robots (AMRs) for pallet handling and logistics operations. “Now we’re talking about pallets—moving material in bulk behind that line.”
Kivenko explains that whether items are being packaged and shipped directly to a customer’s home address or moved as finished goods to a shipping bay for store delivery, those items are first moved in bulk in some way, often by human hands and with human-operated equipment. He describes warehouses as chaotic environments in which humans move pallets and cartons in multiple ways—up and down, side to side, from receiving to storage, from storage to shipping, or via cross-docking. Automation can help bring order to that chaos.
“What we’re trying to do is relieve some of the pressure [on the] humans [doing] this work,” Kivenko says of companies that develop pallet-handling robotic technologies. “At the end of the day, we’re trying to automate some of those flows, relieve labor pressure, save costs, and keep the goods flowing.”
But automated pallet handling isn’t right for every situation, so it’s important to understand the warehouse conditions required and the protocols and best practices needed to make it a win. Here are some guidelines for applying pallet-handling robots and gaining the most from your investment.
FIRST, UNDERSTAND THE TECHNOLOGY
Pallet-handling robots fall into four general categories, explains Rich O’Connor, vice president of storage and automation for Raymond West Group, a business unit of lift truck manufacturer The Raymond Corp. They include:
Palletizing/depalletizing robots, which are used to load or unload items onto and off of pallets, usually with the use of a robotic arm for picking and placing. Today, these systems are being increasingly integrated with automated storage and retrieval systems (AS/RS) to further streamline pallet handling in the warehouse, O’Connor explains.
Autonomous guided vehicles (AGVs) and autonomous mobile robots (AMRs), which are used to transport pallets within the warehouse. Often outfitted with lift decks or conveyors, or designed to tug or tow items, these robots move pallets from point A to B within a facility. AGVs, which often follow a marked guide-path or wire in the floor, have been around for many years, but the advent of high-performance guidance and vision systems is allowing them more flexibility today, O’Connor says. AMRs are self-guided vehicles that use software and sensors to navigate their way through the warehouse.
Forklift AGVs and AMRs, which can move products both horizontally, from place to place, and vertically, into and out of storage racks. They come in various styles—including stackers, counterbalanced trucks, reach trucks, and even very narrow aisle (VNA) vehicles for use in densely packed warehouses. These vehicles are more complex than those used only for horizontal transport, O’Connor explains. They must be “highly integrated” into the facility’s warehouse management system (WMS) or warehouse execution system (WES) so that they know precisely where to retrieve and deliver pallets within the facility.
Robotic pallet shuttles, which move pallets into, out of, and within dense storage racking. The Raymond Corp. describes such a system as “a standalone, automated deep-lane pallet storage system that utilizes self-powered shuttle carriages to move pallets toward the back or front in a racking channel. Shuttles are motor driven and travel along rails within a storage lane.”
O’Connor and others say that no matter which of these technologies you’re investing in, it’s important to remember that they are all part of a larger system designed to optimize operations throughout the warehouse.
“The expanding role of all these different styles working together is what’s amazing today,” O’Connor says.
SECOND, ENSURE THE TECHNOLOGY IS A FIT
Kivenko, of Vecna, also emphasizes the importance of pallet-handling robots working in concert, particularly AMRs and AGVs.
“The magic isn’t just that the robots are autonomous and driving by themselves. The magic is multiple robots—when you have a [whole integrated] system [in place],” he says. “[It’s] how the fleet operates autonomously and optimizes itself for continuous improvement. That’s where the exponential gains are. [It’s] not just about automating what a worker does; it’s about automating a system.”
But you can’t install these systems in just any warehouse and expect magic. Kivenko and others point to certain conditions that enable the best robotic pallet-handling outcomes, especially when it comes to transportation-based and forklift-type AMRs and AGVs.
“The robots that I sell are large-load machines with very expensive technology,” Kivenko explains. “They move material, generally, in larger facilities. And in order for them to produce a return [on investment]—because that’s the name of the game here—they have to be higher-velocity facilities.”
He says pallet-handling robots work best in large facilities running multiple shifts, usually more than five days a week. Wider aisles allow the equipment to move more freely through the facility and at higher speeds, to optimize efficiency and productivity. Strong Wi-Fi networks and clean, dry environments also help keep equipment running at top performance.
O’Connor agrees that pallet-handling robots are best suited to facilities with multishift operations, where they can ease labor constraints and boost productivity. And he says many customers are willing to extend the typical two- to three-year ROI period to five years in order to achieve those gains. But there is even more to it than that. O’Connor’s colleague John Rosenberger says customers must first step back and analyze their processes to ensure that, even if they have the right facility for pallet-handling AMRs or AGVs, they are moving material in the most efficient way to begin with.
“Many times, we find that the processes in place [are inefficient],” says Rosenberger, who is director of iWarehouse Gateway and global telematics for The Raymond Corp. He emphasizes the importance of analyzing existing data—from an equipment telematics system or similar—to determine the best path toward automation.
“Do you have congestion zones now?” he asks. “They’ll still exist if you automate [those processes exactly].”
THIRD, MAKE SIMPLICITY A PRIORITY
Another basic rule of thumb when implementing pallet-handling robotics: Keep it simple.
Andy Lockhart, director of strategic engagement for global warehouse and logistics process automation company Vanderlande, says that when designing a pallet-handling robotics system, “you want to minimize the processes you [automate]. When you can create [an automated system] that focuses on one task—for example, AMRs delivering pallets from a high-bay [storage rack] directly to the palletizing cell—you can do that efficiently and effectively. When you ask the AMR to do this and this and this … you are adding risk of failure.”
Lockhart’s colleague Jake Heldenberg advises customers to first test their target processes via pilot programs within the warehouse or DC. Heldenberg is Vanderlande’s head of solution design, warehousing, North America.
“If AGVs or AMRs for pallet handling are interesting [to a customer], the best thing to do is pilot one or two in an existing DC,” he says, explaining that the process can help companies troubleshoot, understand integration timelines, and gauge ROI. But pilot programs can add expense to a project, making it unaffordable for some.
“If that’s the case, then the best advice is work with a vendor who has experience integrating [the technology],” Heldenberg says. “Use their experience to benefit your business. You won’t have the same hiccups and challenges you would with a less-experienced vendor.”
“While there have been some signs of tightening in consumer spending, September’s numbers show consumers are willing to spend where they see value,” NRF Chief Economist Jack Kleinhenz said in a release. “September sales come amid the recent trend of payroll gains and other positive economic signs. Clearly, consumers continue to carry the economy, and conditions for the retail sector remain favorable as we move into the holiday season.”
The Census Bureau said overall retail sales in September were up 0.4% seasonally adjusted month over month and up 1.7% unadjusted year over year. That compared with increases of 0.1% month over month and 2.2% year over year in August.
Likewise, September’s core retail sales as defined by NRF — based on the Census data but excluding automobile dealers, gasoline stations and restaurants — were up 0.7% seasonally adjusted month over month and up 2.4% unadjusted year over year. NRF is now forecasting that 2024 holiday sales will increase between 2.5% and 3.5% over the same time last year.
Despite those upward trends, consumer resilience isn’t a free pass for retailers to underinvest in their stores by overlooking labor, customer experience tech, or digital transformation, several analysts warned.
"The 2024 holiday season offers more ‘normalcy’ for retailers with inflation cooling. Still, there is no doubt that consumers continue to seek value. Promotions in general will play a larger role in the 2024 holiday season. Retailers are dealing with shrinking shopper loyalties, a larger number of competitors across more channels – and, of course, a more dynamic landscape where prices are shifting more frequently to win over consumers who are looking for great deals,” Matt Pavich, senior director of strategy & innovation at pricing optimization solutions provider Revionics, said in an email.
Nikki Baird, VP of strategy & product at retail technology company Aptos, likewise said that retailers need to keep their focus on improving their value proposition and customer experience. “Retailers aren’t just competing with other retailers when it comes to consumers’ discretionary spending. If consumers feel like the shopping experience isn’t worth their time and effort, they are going to spend their money elsewhere. A trip to Italy, a dinner out, catching the latest Blake Lively and Ryan Reynolds films — there is no shortage of ways that consumers can spend their discretionary dollars,” she said.
Editor's note:This article was revised on October 18 to correct the attribution for a quote to Matt Pavich instead of Nikki Baird.
A real-time business is one that uses trusted, real-time data to enable people and systems to make real-time decisions, Peter Weill, the chairman of MIT’s Center for Information Systems Research (CISR), said at the “IFS Unleashed” show in Orlando.
By adopting that strategy, they gain three major capabilities, he said in a session titled “Becoming a Real-Time Business: Unlocking the Transformative Power of Digital, Data, and AI.” They are:
business model agility without needing a change management program to implement it
seamless digital customer journeys via self-service, automated, or assisted multi-product, multichannel experiences
thoughtful employee experiences enabled by technology empowered teams
And according to Weill, MIT’s studies show that adopting that real-time data stance is not restricted just to digital or tech-native businesses. Rather, it can produce successful results for companies in any sector that are able to apply the approach better than their immediate competitors.
While many companies are launching artificial intelligence (AI) products for use as generic “co-pilots” or consumer-focused gadgets, the Swedish enterprise resource planning (ERP) software vendor IFS says its “Industrial AI” version supports industry-specific processes in “hardcore” sectors based on assets such as power grids, cell phone networks, aircraft maintenance, elevator operation, and construction management.
“Industrial AI is at the very core the solutions we are powering for customers. They are pushing us for ready-to-use AI that they can adopt quickly to solve real industrial challenges like labor shortages, supply chain disruption, [and] stagnated productivity," IFS's Chief Customer Officer, Cathie Hall, said in a release.
In presentations at its user conference in Orlando today, known as "IFS Unleashed," the company said that its latest IFS Cloud 24R2 release supports more than 60 in-depth Industrial AI scenarios. They span generative AI examples like: content generation for training and reports; recommendations for sourcing and suppliers; and contextual knowledge for assembly instruction. The tools also include predictive AI applications like event forecasting; optimization of resources and capacity; and anomaly detection for proactive quality control.
In remarks from the keynote stage, new IFS CEO Mark Moffat—who was appointed to the top office in January—said the company may be less well known than ERP vendors such as SAP, IBM, Oracle, and Infor, but it benefits from a tighter focus on its core users. Instead of selling software across dozens of industries, IFS serves just six industries: aerospace and defense, construction and engineering, energy and utilities, manufacturing, service, and telecommunications.
Thanks to that tight approach, he said the company has earned top Gartner rankings for its software products in field service management (FSM), enterprise asset management (EAM), enterprise resource planning (ERP), and enterprise service management (ESM). And to compound that advantage, Moffat said IFS continues to grow swiftly through acquisition, having bought up a handful of companies in recent months: Assyst, Ultimo, Boka, empowermx, Bolo, Tobin, Merrick, and Copperleaf.
“You need an AI business plan” Moffat told the room. “If you have an AI business plan, that’s terrific, but you can improve it. This area is just moving so fast.”