Mitch Mac Donald has more than 30 years of experience in both the newspaper and magazine businesses. He has covered the logistics and supply chain fields since 1988. Twice named one of the Top 10 Business Journalists in the U.S., he has served in a multitude of editorial and publishing roles. The leading force behind the launch of Supply Chain Management Review, he was that brand's founding publisher and editorial director from 1997 to 2000. Additionally, he has served as news editor, chief editor, publisher and editorial director of Logistics Management, as well as publisher of Modern Materials Handling. Mitch is also the president and CEO of Agile Business Media, LLC, the parent company of DC VELOCITY and CSCMP's Supply Chain Quarterly.
An oft-invoked quotation from the legendary quality expert Dr. W. Edwards Deming states that "You can't manage what you don't measure." True words, indeed.
His words have prompted thousands of companies over the past three decades to implement detailed metrics programs to track their performance. Makes sense so far, right?
It seems, though, that these efforts often fall short despite the best of intentions. And the problem may have nothing to do with misaligned metrics, lack of strategic vision, or even poor management. Rather, the problem could lie in the important enabling technologies that companies use to improve (and yes, measure) their performance.
To understand why this would be, you need to know a little about the forces that have reshaped the supply chain management world in recent years. One, of course, has been the evolution of metrics. Another has been the push to break down functional silos and unify the entire enterprise around such common goals as sustained profitability, stellar customer service performance, and driving growth.
But simply dismantling silos isn't always enough. A number of companies have been disappointed in the results. Instead of getting better, in some cases, things have gotten worse.
Part of the problem may be that while these companies have broken down the functional silos, they're still mired in technological silos. What's happened is that over the years, they've invested in sophisticated technologies to manage various aspects of their operations—transportation, procurement, warehousing, production, and even point-of-purchase activity. These systems can be remarkably effective in generating large volumes of useful data. But there's just one problem: There's no way to meld it all into a single, unified database that provides a big-picture view of the operation.
As Richard Sharpe, CEO of Atlanta-based supply chain software and service specialist Competitive Insights, said in a recent interview, "The functional silos are gone, but what about the performance data silos?"
The takeaway here is that if you want to be rid of silos, you need to be sure that your technological infrastructure is built in a way that will support, rather than detract from, that mission. And it appears that companies are beginning to realize that. A recent study conducted by Sharpe's firm over an audience of CFOs indicates that businesses are placing a very high priority on finding better ways to analyze and understand their performance, especially as it relates to profitability.
Sharpe has literally staked his business on giving clients a better way to do just that. After eight years in development, Competitive Insights has rolled out a software-as-a-service package called CI.RADAaR. Its purpose is simple: bring the data generated by all the disparate systems—transportation management software, warehouse management software, enterprise resource planning systems, and the like—into a unified, customizable database that provides ready access to clear, actionable business information.
Sharpe says the product has the potential to transform many businesses. "It's all about looking at what they are doing and how it is improving the bottom line," he says. "We are providing a tool to efficiently get data from across all these systems into one place [so the information] can be analyzed to answer very specific and important questions about profitability—and we can do it with granularity right down to the SKU level."
Initiatives like this could be an important step toward getting all of the players in a supply chain on the same page. Perhaps more important, from that page, they will be able to answer the question their boardroom-level managers want answered: "Where are we making money, and where are we not?"
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%."