When it needed to boost DC throughput by more than a third, Dollar Tree didn't expand the facility or hire more staff. It simply made minor adjustments to the center's software and conveyor system.
As its name implies, the Dollar Tree sells everything for a buck.That's true for all of the nearly 3,000 different items the retailer carries, which run the gamut from New Years Eve party hats to cleaning supplies.
That deceptively simple strategy has proved to be a winner for the Chesapeake, Va.-based retail chain. Over the past two decades, the company has built an empire of nearly 3,400 stores. Dollar Tree is now the nation's largest dollar-per-item retailer; last year, it reported sales of over $4 billion.
But the $1 price cap also means the company must maintain tight control over its operating costs. A key part of Dollar Tree's success in that regard has been its distribution system, a network of nine sophisticated DCs that collectively handled more than 4 billion items last year.
"Logistics is considered a core competency of the organization," says Steve White, Dollar Tree's chief logistics officer. "With the majority of our business focused on the $1 price point, cost control and productivity improvement is essential.We are always looking to raise the bar in all of our metrics to continue to leverage down costs while continuing to raise service levels. We are in the position where we cannot pass along operating cost increases to the consumer. Our quest to improve never ends."
Right now, the Dollar Tree is in the midst of an ambitious expansion campaign. The retailer opened 240 new stores last year and expects to open a similar number this year. It eventually plans to bring the total number of stores up to 4,000.
To accommodate the rising demand, the company's newest DC—a facility located in Joliet, Ill.— underwent an overhaul last year. But the 1.2 million-square-foot facility didn't require an expansion. All that was needed was some tweaking of the DC's software and conveyor system. Specifically, the company installed UniSort MXT software from FKI Logistex, a sortation subsystem that increases sorter throughput and material handling capacity without the need to expand the facili-ty's square footage or add personnel. As a result, the DC's throughput capacity has increased by more than a third.
Sorting it out
The Joliet DC is set up to enable product flow from various parts of building— full-case pick lines from pallets or carts to conveyors, cross dock lines, and pick module lines all feed products to a central merge point near the shipping doors. Twelve different conveyor lines merge into a single line of product that feeds the sorter; the sorter then diverts product to the correct lanes for the intended stores. The central merge and sorter system uses FKI high-speed Unisort XV line shoe sorter technology.
The various conveyor lines do not move at uniform speeds, however. Products fed to the central merge from the pick module move at a slower rate than products fed from the cross dock lines. By applying MXT technology at the merge, gapping, and sorter subsystem, Dollar Tree is able to balance out the flow of product moving through the facility and create a stream of high-density product leaving the merge and entering the sorter. MXT technology allows Dollar Tree to quickly scale up to meet peak product demand on a daily or seasonal basis by optimizing merging, induction, and sortation functions, enabling rates well in excess of 300 cartons per minute when demand exists (although Dollar Tree currently doesn't run at those speeds).
"We're able to balance this flow and create this high-density stream of product into the sorter and successfully divert products to their down lanes," says Jerry Koch, FKI's product director for software and controls, warehouse and distribution in North America. "We're getting 36 percent more capacity out of the existing equipment at the same conveyor speeds and still maintaining the high level of product diverting accuracy that we already had. So we're able to increase throughput without increasing speed."
That's done by simply changing settings at the control station that programs the gap optimizer, a crucial component of the system that determines the spacing between products traveling on the conveyors.
The MXT software also allows Dollar Tree's DC personnel to increase (or decrease) the flow of products on a daily basis, if desired. They're able to do that by simply adjusting the spacing between products on the conveyor—there's no need to change conveyor speed. That capability is crucial during peak demand season or at times when the DC has to boost throughput to get products out to new stores in time for the store openings.
"The beauty was we didn't increase system speed," says White. "It was all just additional throughput, and it's accomplished by reducing the gap between products. You've got to be right on top of your game when you run those small gaps."
Pump up the volume
Based on its success with the MXT technology at Joliet, the company decided to install the technology at its DC in Briar Creek, Pa., which was recently expanded from 600,000 square feet to 1 million square feet. Dollar Tree is experiencing similar throughput gains at the new facility after rolling out FKI's MXT technology in three phases over three weekends.
"That facility serves over 600 stores, and a lot of the daily demand is driven by sales and new store openings, so we need to make sure we have the capacity built into the system so we can handle those volume swings from week to week," says White. "It's easy for us to make adjustments as far as changing the gap on a day-to-day basis if we want to. It's a simple keystroke to change the parameters."
White notes that the ability to boost throughput by adjusting the gap between products—as opposed to speeding up the conveyor—helps extend the sorter's life and reduces maintenance and energy costs. But the real payoff has come in productivity gains. "It creates a big-time savings in that we don't need to stop and pump up the speed of the conveyor," he says. "Think about it; you don't increase the speed of the sortation system, yet you get an additional 30 percent throughput capacity. That's huge.
"The beauty of our business is we sell everything for a dollar, and 95 percent of it rides on the conveyor. It's crucial to our business plan."
Logistics real estate developer Prologis today named a new chief executive, saying the company’s current president, Dan Letter, will succeed CEO and co-founder Hamid Moghadam when he steps down in about a year.
After retiring on January 1, 2026, Moghadam will continue as San Francisco-based Prologis’ executive chairman, providing strategic guidance. According to the company, Moghadam co-founded Prologis’ predecessor, AMB Property Corporation, in 1983. Under his leadership, the company grew from a startup to a global leader, with a successful IPO in 1997 and its merger with ProLogis in 2011.
Letter has been with Prologis since 2004, and before being president served as global head of capital deployment, where he had responsibility for the company’s Investment Committee, deployment pipeline management, and multi-market portfolio acquisitions and dispositions.
Irving F. “Bud” Lyons, lead independent director for Prologis’ Board of Directors, said: “We are deeply grateful for Hamid’s transformative leadership. Hamid’s 40-plus-year tenure—starting as an entrepreneurial co-founder and evolving into the CEO of a major public company—is a rare achievement in today’s corporate world. We are confident that Dan is the right leader to guide Prologis in its next chapter, and this transition underscores the strength and continuity of our leadership team.”
The New York-based industrial artificial intelligence (AI) provider Augury has raised $75 million for its process optimization tools for manufacturers, in a deal that values the company at more than $1 billion, the firm said today.
According to Augury, its goal is deliver a new generation of AI solutions that provide the accuracy and reliability manufacturers need to make AI a trusted partner in every phase of the manufacturing process.
The “series F” venture capital round was led by Lightrock, with participation from several of Augury’s existing investors; Insight Partners, Eclipse, and Qumra Capital as well as Schneider Electric Ventures and Qualcomm Ventures. In addition to securing the new funding, Augury also said it has added Elan Greenberg as Chief Operating Officer.
“Augury is at the forefront of digitalizing equipment maintenance with AI-driven solutions that enhance cost efficiency, sustainability performance, and energy savings,” Ashish (Ash) Puri, Partner at Lightrock, said in a release. “Their predictive maintenance technology, boasting 99.9% failure detection accuracy and a 5-20x ROI when deployed at scale, significantly reduces downtime and energy consumption for its blue-chip clients globally, offering a compelling value proposition.”
The money supports the firm’s approach of "Hybrid Autonomous Mobile Robotics (Hybrid AMRs)," which integrate the intelligence of "Autonomous Mobile Robots (AMRs)" with the precision and structure of "Automated Guided Vehicles (AGVs)."
According to Anscer, it supports the acceleration to Industry 4.0 by ensuring that its autonomous solutions seamlessly integrate with customers’ existing infrastructures to help transform material handling and warehouse automation.
Leading the new U.S. office will be Mark Messina, who was named this week as Anscer’s Managing Director & CEO, Americas. He has been tasked with leading the firm’s expansion by bringing its automation solutions to industries such as manufacturing, logistics, retail, food & beverage, and third-party logistics (3PL).
Supply chains continue to deal with a growing volume of returns following the holiday peak season, and 2024 was no exception. Recent survey data from product information management technology company Akeneo showed that 65% of shoppers made holiday returns this year, with most reporting that their experience played a large role in their reason for doing so.
The survey—which included information from more than 1,000 U.S. consumers gathered in January—provides insight into the main reasons consumers return products, generational differences in return and online shopping behaviors, and the steadily growing influence that sustainability has on consumers.
Among the results, 62% of consumers said that having more accurate product information upfront would reduce their likelihood of making a return, and 59% said they had made a return specifically because the online product description was misleading or inaccurate.
And when it comes to making those returns, 65% of respondents said they would prefer to return in-store, if possible, followed by 22% who said they prefer to ship products back.
“This indicates that consumers are gravitating toward the most sustainable option by reducing additional shipping,” the survey authors said in a statement announcing the findings, adding that 68% of respondents said they are aware of the environmental impact of returns, and 39% said the environmental impact factors into their decision to make a return or exchange.
The authors also said that investing in the product experience and providing reliable product data can help brands reduce returns, increase loyalty, and provide the best customer experience possible alongside profitability.
When asked what products they return the most, 60% of respondents said clothing items. Sizing issues were the number one reason for those returns (58%) followed by conflicting or lack of customer reviews (35%). In addition, 34% cited misleading product images and 29% pointed to inaccurate product information online as reasons for returning items.
More than 60% of respondents said that having more reliable information would reduce the likelihood of making a return.
“Whether customers are shopping directly from a brand website or on the hundreds of e-commerce marketplaces available today [such as Amazon, Walmart, etc.] the product experience must remain consistent, complete and accurate to instill brand trust and loyalty,” the authors said.
When you get the chance to automate your distribution center, take it.
That's exactly what leaders at interior design house
Thibaut Design did when they relocated operations from two New Jersey distribution centers (DCs) into a single facility in Charlotte, North Carolina, in 2019. Moving to an "empty shell of a building," as Thibaut's Michael Fechter describes it, was the perfect time to switch from a manual picking system to an automated one—in this case, one that would be driven by voice-directed technology.
"We were 100% paper-based picking in New Jersey," Fechter, the company's vice president of distribution and technology, explained in a
case study published by Voxware last year. "We knew there was a need for automation, and when we moved to Charlotte, we wanted to implement that technology."
Fechter cites Voxware's promise of simple and easy integration, configuration, use, and training as some of the key reasons Thibaut's leaders chose the system. Since implementing the voice technology, the company has streamlined its fulfillment process and can onboard and cross-train warehouse employees in a fraction of the time it used to take back in New Jersey.
And the results speak for themselves.
"We've seen incredible gains [from a] productivity standpoint," Fechter reports. "A 50% increase from pre-implementation to today."
THE NEED FOR SPEED
Thibaut was founded in 1886 and is the oldest operating wallpaper company in the United States, according to Fechter. The company works with a global network of designers, shipping samples of wallpaper and fabrics around the world.
For the design house's warehouse associates, picking, packing, and shipping thousands of samples every day was a cumbersome, labor-intensive process—and one that was prone to inaccuracy. With its paper-based picking system, mispicks were common—Fechter cites a 2% to 5% mispick rate—which necessitated stationing an extra associate at each pack station to check that orders were accurate before they left the facility.
All that has changed since implementing Voxware's Voice Management Suite (VMS) at the Charlotte DC. The system automates the workflow and guides associates through the picking process via a headset, using voice commands. The hands-free, eyes-free solution allows workers to focus on locating and selecting the right item, with no paper-based lists to check or written instructions to follow.
Thibaut also uses the tech provider's analytics tool, VoxPilot, to monitor work progress, check orders, and keep track of incoming work—managers can see what orders are open, what's in process, and what's completed for the day, for example. And it uses VoxTempo, the system's natural language voice recognition (NLVR) solution, to streamline training. The intuitive app whittles training time down to minutes and gets associates up and working fast—and Thibaut hitting minimum productivity targets within hours, according to Fechter.
EXPECTED RESULTS REALIZED
Key benefits of the project include a reduction in mispicks—which have dropped to zero—and the elimination of those extra quality-control measures Thibaut needed in the New Jersey DCs.
"We've gotten to the point where we don't even measure mispicks today—because there are none," Fechter said in the case study. "Having an extra person at a pack station to [check] every order before we pack [it]—that's been eliminated. Not only is the pick right the first time, but [the order] also gets packed and shipped faster than ever before."
The system has increased inventory accuracy as well. According to Fechter, it's now "well over 99.9%."