Keeping the supply chain moving in turbulent times
How is technology helping transportation and logistics keep up with the accelerating pace of change? Experts share their insights in this special Modex 2022 preview.
David Maloney has been a journalist for more than 35 years and is currently the group editorial director for DC Velocity and Supply Chain Quarterly magazines. In this role, he is responsible for the editorial content of both brands of Agile Business Media. Dave joined DC Velocity in April of 2004. Prior to that, he was a senior editor for Modern Materials Handling magazine. Dave also has extensive experience as a broadcast journalist. Before writing for supply chain publications, he was a journalist, television producer and director in Pittsburgh. Dave combines a background of reporting on logistics with his video production experience to bring new opportunities to DC Velocity readers, including web videos highlighting top distribution and logistics facilities, webcasts and other cross-media projects. He continues to live and work in the Pittsburgh area.
Joe Wilkinson, Vice President, Consulting, enVista
During the past two years, even those who had never heard the term “supply chain” have seen—and personally experienced—just how much transportation and logistics affects our daily lives. It’s become clearer than ever that when the going gets tough, smart strategies supported by advanced technology are critical for tackling transportation and logistics challenges.
To find out what the future holds in this regard, DC Velocity Group Editorial Director David Maloney recently gathered three experts from companies participating in the DC Velocity Transportation & Logistics Theater at the upcoming Modex 2022 show in Atlanta to discuss a range of topics, including how technology can help to keep merchandise moving and provide customers with the service they want.
Q: Are there some common-sense steps shippers can take to alleviate the impact of the transportation bottlenecks the industry is experiencing?
Joe Wilkinson – enVista: The most common strategy for easing capacity constraints (and cost pressure) is carrier diversification. While there can be an initial hard-dollar cost to implementing carrier diversification, those initial investments pay dividends in the future and serve as insurance when capacity shrinks and more options are needed. Spreading volumes across modes is another option. Positioning inventory in stores via truckload/LTL store replenishment can, in some cases, enable ship-from-store fulfillment. This needs to be enabled by technology, staff, and facilities. But where it can be achieved, pressure can be relieved in the first and middle miles.
Raj Patel – Blue Yonder: One thing we have learned is that supply chain disruptions are a constant, and they seem to be happening more often. Take a look at last year’s Suez Canal situation or the Port of Yantian closure. To succeed, organizations need to have visibility into all aspects of their supply chain. Without this end-to-end visibility, how can they get ahead of issues in a timely manner and properly address them? Organizations also need to learn how to leverage that visibility to anticipate future issues and deduce solutions.
I have hope that this surge will stabilize over time and allow companies to catch their breath, because this system isn’t sustainable the way it’s currently operating. In the meantime, using labor management tools can help forecast shortages on the horizon and ensure employees are engaged and incentivized in their day-to-day work, which will help keep goods flowing. In the case of another three- to six-month global shutdown, extensive government involvement would be needed to keep manufacturing and the supply chain moving.
Q: What are the most significant changes you’ve seen in your industry over the past 20 years?
Raj Patel – Blue Yonder: The first is going from a “push” supply chain to a customer-centric supply chain. Consumers are in control now. They dictate what they want, where they want it, how they want it, and the price they are willing to pay. This is very different from 20 years ago, when retailers would use planning and forecasting to predict what they thought customers were looking for and then pushed that product out.
The second is the change in technology strategy. Twenty years ago, it was all about a single vendor/provider ecosystem, on-premise deployment, and long-lasting relationships. Then it went to “best of breed,” but still on-premise and with shorter relationships. Today, you are looking at going back to a single vendor in most cases, but in a cloud/SaaS model, and with shorter contract terms, as the cost to change is lower than for on-premise.
Q: Has the rise of e-commerce significantly changed transportation?
Joe Wilkinson – enVista: The rise of e-commerce is not a new phenomenon. Each year, experts make what seem to be wildly aggressive projections about peak volumes, and each year, the market surprises to the upside.
E-commerce has driven down transit time expectations dramatically. In the ’70s and ’80s, catalog order delivery times were measured in weeks. Now, we’re at a two-day standard, with same-day delivery expected in a lot of metro areas. All of this while residential deliveries have driven delivery densities down and drive time between stops up. This has had the effect of making shippers’ delivery times a big part of their brand identity and has forced transportation teams to continually optimize their processes to protect the brand’s reputation.
Q: How can real-time shipment information improve the customer experience?
Don DeLash – SICK: As the pandemic has continued to accelerate e-commerce and same-day delivery demands, the evolution of logistics technologies and processes has also accelerated to keep pace. An emerging trend is the implementation of data-capture and information technologies that support dynamic real-time package routing and routing adjustments. By integrating unique package identifiers, whether in the form of package or label data, 1D or 2D bar codes, or RFID, shippers gain the ability to make in-transit decisions about package delivery destinations.
For example, if a retailer ships a parcel from Pittsburgh to an online customer in Seattle, but while in transit that item becomes available from a facility (such as a store or warehouse) locally [in the Seattle area], the retailer can re-route that package to a customer who ordered the same product in Columbus, Ohio, or to a store in Detroit that is low on inventory of that item. When this type of dynamic transportation management is implemented across a network, the substantial improvement in customer experience becomes evident.
Raj Patel – Blue Yonder: Increased use of technological solutions like control towers provides real-time data and visibility, allowing companies to better control product flow. In a world of constant disruptions and crises, this technology offers early detection of problems and quick corrective actions that help keep products in stock and customer experiences positive.
All in all, companies will be leveraging data more than ever to determine what to make for consumers, where to manufacture and at what cost, and what service it or its third-party logistics providers (3PLs) can afford to offer. Preparation starts with what technology you have, and determining whether the data is being shared across the enterprise and decisions are being made holistically and in real time versus in silos. Those that have figured that out will succeed and continue to prosper, while others will struggle to make daily tactical decisions that will impact bottom lines.
Q: As you’ve just noted, customers expect quicker deliveries now. Can warehouse technology speed truck turns at facilities?
Don DeLash – SICK: Companies in the supply chain continue to look for ways to speed trailer loading and unloading at warehouses and distribution centers. Existing, proven methods, such as inbound product ID and destination labeling, support cross-dock and automated storage and retrieval systems. These technologies lead to greater agility and improved customer satisfaction. With the broader adoption of robotics in warehouse operations, automated methods for trailer loading and unloading using robotics are being designed and tested at an increasing pace.
Raj Patel – Blue Yonder: Deploying warehouse management and labor management technologies was a growing strategy before the Covid-19 pandemic, but that seems to have accelerated even further since the pandemic began. These technologies allow employers to consider engineering standard constraints and other warehouse-related constraints when they incentivize, monitor, and schedule their workforce. More efficient workforces lead to quicker turns, shorter wait times at docks, and more efficient transportation.
Q: What are some ways to improve the visibility of goods in transit?
Don DeLash – SICK: Asset-tracking technologies coupled with cloud-based access to information provide the platform from which visibility of goods in transit can be achieved at increased levels of specificity in terms of timeliness and accuracy. Underlying data-capture and analytics systems can provide specific information about products and items in terms of identification and condition. Proven sensing technology provides information about package or freight condition, movement, temperature, handling, and other characteristics. When all this data sits on a cloud-based analytics and user interface platform, visibility and efficiency can be greatly enhanced.
Raj Patel – Blue Yonder: Control towers are central to unlocking deep real-time visibility into goods in transit. They centralize visibility across companies’ entire global networks, making it possible to see where shipments are sitting, whether they’ll be delayed, and even at which specific ports and warehouses they are.
Q: Can good transportation management improve cubing and utilization?
Joe Wilkinson – enVista: Tier 1 transportation management systems (TMS) have the ability to create a blueprint for how to effectively load your trailer or container. This requires very accurate data for eaches, cases, pallets, and so forth. But you do not have to go this route in order to increase your trailer utilization. With accurate skid, cube, or weight data, you can analyze your lane volume and determine your trailer-utilization percentage. This will allow you to see the delta from your acceptable threshold and begin working to improve your bracket pricing, load scheduling, and product allocation in order to capitalize on the opportunity.
Q: How will artificial intelligence (AI) and machine learning affect the future design of transportation systems?
Joe Wilkinson – enVista: The two key areas where AI or machine learning can have the quickest impact on transportation management systems are data recognition and exception management. Being able to have the TMS recognize bad or missing data, and then know how to correct it or who to notify, has a direct impact on service and labor costs.
Exception management is the key to a successful transportation operation, and increasing your ability to predetermine which shipments will be late or might be missing will be a differentiator in the marketplace. Being able to link past carrier, lane, seasonal performance, and other data to accurately depict transit and on-time estimates allows for better decision-making and the ability to be proactive.
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%."