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.
Managers at high-volume warehouses and distribution centers are constantly looking for ways to make their processes run more smoothly and efficiently—and for many, the secret to success lies in improving the way they sort the many boxes, bags, mailers, and pouches that wend their way through facilities each day.
“We do most of our business in middle-mile [and] last-mile applications,” says Tim Kraus, product manager at conveyance and parcel automation solutions company Intralox, which serves customers in the logistics, food, and consumer packaged goods industries, among others. “[Customers are] always looking for package mix—what can and can’t they sort on [a] machine. They’re always looking for throughput—what’s the maximum throughput they can get. And they want to know the number of destinations and the footprint it will take up in a building. And price.”
Kraus says solving for those variables can lead to a more efficient operation—especially if you put the latest in automated sortation solutions to the test.
There was no shortage of new products and services designed to boost efficiency at the recent Modex 2024 show in Atlanta, a biennial event that showcases the latest material handling and technology solutions for warehousing, distribution, and supply chain operations. Here’s a look at three examples from the show floor that illustrate how sorters are getting smarter, faster, and more accurate thanks to high-tech innovations.
ADVANCED CONTROLS UNLOCK FLEXIBILITY
Sorter controls can help companies make the most of their automation investments. Intralox highlighted the availability of prepackaged advanced sorter controls for its Activated Roller Belt (ARB) Sorter S7000, a feature that provides customers with an “out of the box” solution for improving the sorting process. As Kraus explains, the company has “productized” sorter controls by offering a ready-made solution that works with a wide range of applications. The solution, which includes package-tracking and divert actuation logic, saves on installation time and increases sort accuracy and reliability.
Here's how it works: The advanced sorter controls allow customers to sort more precisely to a destination—a conveyor, bin, gaylord, or the like—by accurately controlling where products exit the sorter. This can lead to greater flexibility. Depending on the application, customers can configure sort destinations closer together or add destinations in the same amount of space, creating more destinations per footprint. This can help condense the overall footprint of the conveying and sorting solution to save money.
“The openings for the destinations can be shorter and closer together if you’re more precise, which means you can have more destinations in a compact footprint,” Kraus explains. “And that would also reduce the investment; if the sorter gets smaller, it’s usually a lower capital investment.”
Better controls can also help keep the conveying and sorting process running smoothly. For example, the system’s “SmartFill” chute logic spreads out packages that are destined for a single location, helping prevent backups. As Kraus explains, the control logic determines where to have packages exit the sorter so that the sorter can fit more items into the space—avoiding situations in which a few large boxes can effectively block other items from being sorted to the destination.
“In a normal application, any particular destination may become full after just a few large boxes,” he says. “The next package intended for that destination can’t be sorted to the ‘full’ destination and must be reprocessed or [it] might shut the system down.”
By spreading the packages out, the control logic also enables the system to run for longer intervals without having an employee step in to empty the receiving container, reducing the number of people needed to staff those sorting destinations.
“This helps middle- and last-mile operations run efficiently during both peak and nonpeak seasons,” Kraus notes.
And it’s all made possible by the out-of-the-box controls that make setup simple. What used to require customized work can now be accomplished with the touch of a few screens. And that makes the process easy to replicate, which is a boon to companies seeking to automate their last-mile operations, in particular.
“If you’re automating the last mile, it’s likely you’re not just doing that in one place. You’re probably using similar technology [in multiple locations],” Kraus explains, emphasizing the ability to get systems up and running quickly across an entire last-mile network. “If it’s all ‘plug and play,’ there are benefits for the customer who has to maintain the system as well. They can be trained once, and everything will be the same in all facilities—maintenance, diagnostics, data reporting; it’s all the same.”
AI ENHANCES ACCURACY
Sorters are also getting smarter thanks to artificial intelligence (AI) and machine learning (ML)—features that can help keep warehousing and DC operations humming along, unimpeded. Leaders at warehouse automation specialist Trew LLC touted the addition of AI to the company’s TrewSort sliding-shoe sorter as an example of how intelligent sorter design is making it easier for retail, e-commerce, and other high-throughput operations to sort cartons, parcels, totes, and poly bags, day in and day out.
Sliding-shoe sorters are among the most common types of high-speed sorter technology used in warehousing and distribution operations. The basic design consists of a conveying platform that connects to a main in-feed conveyor line. As cartons reach their sort destination, small blocks, known as shoes, slide across the conveying surface to gently push items down the next path on their journey. Trew’s “AI inside” feature incorporates self-learning actuators with mechanical and control design elements that effectively allow the sorter to “learn on the job.”
“The AI uses machine learning built into the divert actuator, allowing the sorter to maintain accuracy by self-identifying issues before they become problems,” says Andrew Herchenbach, a product manager for Trew LLC. “There is deep thinking in every detail of the sorter.”
Herchenbach offers an example to illustrate the point: “A great analogy would be high-performance cruise control in a high-performance car. The AI monitors and learns [about] the car’s performance and figures out how to feed the engine fuel to maintain constant high performance as the flow of traffic and road conditions change. For the sorter, the goal is to handle products of a wide range of sizes and weights and maintain the highest levels of divert accuracy as operations change through the life of the sorter.”
The system is designed for heavy use in facilities running three shifts per day and can flex with a company’s growth plans: Features include adjustable divert switch locations, modular machine sections, an expandable electrical design, and adjustable after-sort lane connections.
iBOTS ENABLE ONE-TOUCH SOLUTION
The application of robotics has fundamentally changed the way many warehouses and DCs operate, a trend that was underscored by the equipment on display at Opex Corp.’s booth in Atlanta. The warehouse automation equipment company showcased the newest version of its automated sortation and order retrieval system—the SureSort X with Opex Xtract—which is designed for high-speed operations in retail, e-commerce, and even returns processing. The automated put-wall system has been around since 2017, but Opex has revamped it and added the Xtract feature in response to customer feedback, creating a system that can handle a wider range of items (it can process items 60% smaller, nearly 20% larger, and up to 300% heavier than the previous version) and that automates the retrieval and transfer of orders into shipping containers.
At the heart of the system are the company’s “iBOT” sorting robots—compact, multidirectional vehicles that sort inventory in the system’s grid, traveling horizontally and vertically throughout the system. The iBOTs can also be programmed to leave the storage grid for delivery and pack out.
In a nutshell, the system works like this: Items are inducted via a drop-conveyor and are run through a scan tunnel that analyzes and determines where to send them within the system’s aisles. Then the sortation iBOTs take over, sorting items to delivery bins, totes, or boxes. The iBOTs maneuver throughout the system and are able to change their destination while in transit, if needed. With Xtract, the iBOTs are programmed to retrieve prepared orders and deliver them to a packing station. Customers can also choose to automate the packing process by using specially designed Xtract totes; these feature a “split tray” or “bomb bay” design that enables them to drop the sorted items into the final shipping box or container when opened.
The system answers customers’ calls for a single integrated solution for sorting, retrieving, and automatically getting product into its final container—another example of how sorting technology can help streamline operations and address persistent labor challenges in the warehouse.
“Labor is one of the biggest problems for many companies out there; they just don’t have enough people,” explains Monty McVaugh, head of product management, warehouse automation at Opex. “[Xtract] automates the order takeaway, which allows companies to repurpose people to other work.”
These are just a few of the many examples of advanced sorter technology on display at Modex this year. For more information, check out our Modex 2024 coverage at www.dcvelocity.com.
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.
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.”th 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 AI-based prescriptive analytics for loss prevention, but a much larger 50% say they plan to use it in the next 1-3 years. That was followed by self-checkout cameras and sensors (45%), computer vision (46%), and RFID tags and readers (42%) that are planned for use within the next three years, specifically for loss prevention.
Those strategies could help improve the brick and mortar shopping experience, since 78% of shoppers say it’s annoying when products are locked up or secured within cases. Adding to that frustration is that it’s hard to find an associate while shopping in stores these days, according to 70% of consumers. 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.
The survey also identified additional frustrations faced by retailers and associates:
challenges with offering easy options for click-and-collect or returns, despite high shopper demand for them
the struggle to confirm current inventory and pricing
lingering labor shortages and increasing loss incidents, even as shoppers return to stores
“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.
An eight-year veteran of the Georgia company, Hakala will begin his new role on January 1, when the current CEO, Tero Peltomäki, will retire after a long and noteworthy career, continuing as a member of the board of directors, Cimcorp said.
According to Hakala, automation is an inevitable course in Cimcorp’s core sectors, and the company’s end-to-end capabilities will be crucial for clients’ success. In the past, both the tire and grocery retail industries have automated individual machines and parts of their operations. In recent years, automation has spread throughout the facilities, as companies want to be able to see their entire operation with one look, utilize analytics, optimize processes, and lead with data.
“Cimcorp has always grown by starting small in the new business segments. We’ve created one solution first, and as we’ve gained more knowledge of our clients’ challenges, we have been able to expand,” Hakala said in a release. “In every phase, we aim to bring our experience to the table and even challenge the client’s initial perspective. We are interested in what our client does and how it could be done better and more efficiently.”
Although many shoppers will
return to physical stores this holiday season, online shopping remains a driving force behind peak-season shipping challenges, especially when it comes to the last mile. Consumers still want fast, free shipping if they can get it—without any delays or disruptions to their holiday deliveries.
One disruptor that gets a lot of headlines this time of year is package theft—committed by so-called “porch pirates.” These are thieves who snatch parcels from front stairs, side porches, and driveways in neighborhoods across the country. The problem adds up to billions of dollars in stolen merchandise each year—not to mention headaches for shippers, parcel delivery companies, and, of course, consumers.
Given the scope of the problem, it’s no wonder online shoppers are worried about it—especially during holiday season. In its annual report on package theft trends, released in October, the
security-focused research and product review firm Security.org found that:
17% of Americans had a package stolen in the past three months, with the typical stolen parcel worth about $50. Some 44% said they’d had a package taken at some point in their life.
Package thieves poached more than $8 billion in merchandise over the past year.
18% of adults said they’d had a package stolen that contained a gift for someone else.
Ahead of the holiday season, 88% of adults said they were worried about theft of online purchases, with more than a quarter saying they were “extremely” or “very” concerned.
But it doesn’t have to be that way. There are some low-tech steps consumers can take to help guard against porch piracy along with some high-tech logistics-focused innovations in the pipeline that can protect deliveries in the last mile. First, some common-sense advice on avoiding package theft from the Security.org research:
Install a doorbell camera, which is a relatively low-cost deterrent.
Bring packages inside promptly or arrange to have them delivered to a secure location if no one will be at home.
Consider using click-and-collect options when possible.
If the retailer allows you to specify delivery-time windows, consider doing so to avoid having packages sit outside for extended periods.
These steps may sound basic, but they are by no means a given: Fewer than half of Americans consider the timing of deliveries, less than a third have a doorbell camera, and nearly one-fifth take no precautions to prevent package theft, according to the research.
Tech vendors are stepping up to help. One example is
Arrive AI, which develops smart mailboxes for last-mile delivery and pickup. The company says its Mailbox-as-a-Service (MaaS) platform will revolutionize the last mile by building a network of parcel-storage boxes that can be accessed by people, drones, or robots. In a nutshell: Packages are placed into a weatherproof box via drone, robot, driverless carrier, or traditional delivery method—and no one other than the rightful owner can access it.
Although the platform is still in development, the company already offers solutions for business clients looking to secure high-value deliveries and sensitive shipments. The health-care industry is one example: Arrive AI offers secure drone delivery of medical supplies, prescriptions, lab samples, and the like to hospitals and other health-care facilities. The platform provides real-time tracking, chain-of-custody controls, and theft-prevention features. Arrive is conducting short-term deployments between logistics companies and health-care partners now, according to a company spokesperson.
The MaaS solution has a pretty high cool factor. And the common-sense best practices just seem like solid advice. Maybe combining both is the key to a more secure last mile—during peak shipping season and throughout the year as well.