It may not produce the adrenaline kick of Pac Man or Texas Hold 'Em poker, but simulation software can give you a flashy live-action 3D view of what proposed changes will really do to your DC operations.
John Johnson joined the DC Velocity team in March 2004. A veteran business journalist, John has over a dozen years of experience covering the supply chain field, including time as chief editor of Warehousing Management. In addition, he has covered the venture capital community and previously was a sports reporter covering professional and collegiate sports in the Boston area. John served as senior editor and chief editor of DC Velocity until April 2008.
If you had walked into Dave Zuern's office last fall, chances are you would have found Zuern and his team huddled around a computer screen. But this wasn't about a quick game of Everquest II or Texas Hold 'Em during lunch break. What the staffers at Briggs & Stratton were watching so intently was not doom-defying warriors, but tiny engine parts whizzing down virtual conveyor belts.
They may look like videogames with their 3D simulation and flashy graphics, but today's DC simulation software programs have nothing to do with entertainment. Like ERP or WMS systems, these programs are all business. The software Zuern used, for example, took the reams of data he entered and spit back highly detailed distribution profiles of some new product lines that will move through his company's new DC when it opens this fall, including their velocity, seasonality, expected order sizes and destinations. But perhaps more importantly, the program helped Zuern and his staff simulate the distribution center's operations under a variety of conditions and answer all the inevitable "what if" questions.
As for how all this came about, the story goes back to engine-maker Briggs & Stratton's decision to build a new 300,000-square-foot distribution center that will open this October. As the company's director of distribution operations, Zuern was put in charge of the project. Anxious for reassurance that the facility (and its rack and conveyor equipment) would be able to absorb the added volume, Zuern decided to run his data through FortnaDCmodeler, a simulation tool developed by Fortna, a consulting firm that offers design-integration services. "Your job is basically on the line here," says Zuern. When it comes to building or leasing a sizeable DC, he says, "it's good to have a tool like this to help you. I didn't want to build a brand new building and then figure out that it's full before it's even done."
In fact, that nearly happened. Within weeks of the time he started entering data into the program, Zuern had the results of the simulation in hand. And although they confirmed many of his assumptions about the new DC's operations, he also learned something that came as a distinct shock: he needed more building. To be precise, he learned that Briggs & Stratton would have to expand the facility's footprint by about 50,000 square feet if the company wanted to remain in the DC for at least 10 years as planned.
Those weren't exactly the results he was looking for, of course, but Zuern was grateful to have the simulation's findings all the same. For one thing, having hard data in hand made it that much easier to pitch the proposed expansion to management. "It's nice to be able to go back to our board and say we didn't just guess at this," says Zuern. "It may have cost us a few bucks, but we're confident that the amount we're asking the company to invest for this project is justified."
Quick fixes
It used to be that the typical simulation project ran pretty much along the lines of Briggs & Stratton's, but that's starting to change. Today, applications are no longer limited to large-scale projects like new DC design and construction. Falling prices and technological advances have made simulation affordable for smaller projects too—say, determining the best combination of material handling equipment, identifying potential bottlenecks in an expansion, or designing the optimal pick path.
"The software is definitely getting better," says Bob Silverman, president of Gross & Associates, a consultancy specializing in material handling logistics, "and [it's getting] easier to use." That's not to imply that the software has evolved to the stage where it runs itself. "There's still a significant training component," Silverman concedes, "but for people already trained in it, it's much faster to do the simulations."
In fact, Silverman reports that his firm is receiving more and more requests for quick-fix simulation projects that can suggest a solution to an individual problem within a couple of days. Gross & Associates, for example, recently conducted a "quick hit" simulation for a client that analyzed the transfer stations and interfaces between the manual and automated parts of its operation. The existing operation uses an automated guided vehicle (AGV) to feed and take pallets away from an automated storage/retrieval system (AS/RS). The AGV system is old and prone to breakdowns, so Gross & Associates designed a pallet conveyor-based replacement for the AGVs. The company then solicited quotes for the pallet conveyor system from three systems integrators, each of which came back with a different suggestion for modifications to the initial design.
To help it decide which approach to choose, the client asked Gross & Associates to run a simulation of each solution. That quick simulation of each of the proposed designs revealed that two of the three consistently achieved the required speeds based on different combinations of inputs. But the analysis also showed that the third was likely to fail with particular mixes. That was valuable information, says Silverman. "Without the simulation, we might have selected an option that would work fine on typical high-volume days, but not accommodate the required rate when out-of-the-ordinary conditions were experienced."
Endless opportunities
It may be best known for helping companies like Briggs & Stratton or Silverman's client avoid costly mistakes, but simulation software can also help uncover opportunities for savings. Take the case of Genesco, a retailer that specializes in footwear and accessories.
When Genesco designed its new DC several years ago, the original blueprint called for more than a half million square feet of space. But after running simulations of its operations at both current levels and with the higher volumes projected for the future, the company found it could cut back the square footage to 320,000 square feet, representing a substantial savings in real estate and capital equipment costs.
In addition, the simulation helped Genesco to consolidate three separate divisions (its retail store operations, its catalog operation and its direct delivery business) under one roof, while balancing the movement of highly seasonal goods and yearly growth of 20 percent. Aside from improving the center's ability to handle seasonal peaks, a new flow design for fast-moving stock-keeping units (SKUs) eliminated the need for replenishment for 50 percent of the company's product lines.
"Internet or direct-to-consumer orders are small one- or two-line orders and your operational costs can eat you alive because of the cost of picking those items," says David Farmer, vice president of sales at Fortna. "There are so many companies out there with multiple distribution channels, whether it's wholesale, retail or direct to consumer. Those orders alone all represent different businesses inside a DC, but simulation will allow you to create a virtual DC with each of those. We run the simulation model several times to capture exactly how the direct-to-consumer goods impact the DC layout, and the same for wholesale and retail. This helps to justify various storage media and layout options. The 'what if' games you can build with this are endless."
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.