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.
Sometimes, all you need is the right partner to solve your logistics problems.
In 2021, global paint supplier Sherwin Williams faced driver and hazardous material (hazmat) capacity constraints: There simply weren’t enough hazmat drivers available in its fleet to maintain the company’s 90% fleet utilization rate expectations for key partner store deliveries while also meeting growing demand for service. Those challenges threatened to become even more acute in the future, as a competing paint supply company began to scale back its operations in the Pacific Northwest, leaving Sherwin Williams with an opportunity to fill the gap.
The paint supplier needed a logistics partner that could help it overcome the shortage of hazmat drivers while also helping to manage its West Coast trailer pools, out-of-region runs, and ad-hoc freight. It also needed a solution that would meet quarterly and annual fleet budgets.
SCALING UP
Enter ITS Logistics, a third-party logistics service provider (3PL) that offers supply chain solutions for drayage, network transportation, distribution, and fulfillment across North America. ITS proposed a combined owned-asset and asset-light approach that would provide Sherwin Williams with the equivalent of 21 additional drivers. The 3PL would leverage its carrier network to overcome the shortage of hazmat capacity while also certifying its own drivers via a three-month process. Further, ITS would help manage Sherwin Williams’ trailer pools and coordinate carriers, providing the paint company with a single point of contact for transportation.
The project would address cost concerns as well: “ITS Logistics aligned its solution with Sherwin Williams’ budgetary cadence and offered a quarterly business review to align on price structure, adding a level of transparency and trust to the relationship,” according to a case study the partners released earlier this year.
The companies soon sealed the deal and launched the program.
Not long after that, Sherwin Williams began to feel the effects of the anticipated challenges in the Pacific Northwest—but the company was prepared. When the competing paint supply company shuttered its operations, causing demand for Sherwin Williams’ products to spike, ITS injected a blend of owned trailers and carrier power to alleviate equipment challenges, cover all locations and regions, and help the paint supplier scale to meet volume.
CLOSING THE GAPS
The project has helped Sherwin Williams rapidly scale its capacity, meet fleet utilization requirements, manage trailer pools, coordinate carriers, and flex to meet spikes in regional demand.
And the results speak for themselves.
“ITS integrating themselves into our fleet was instrumental in helping increase our outbound volume by 18.4 million pounds [year over year] in the last seven months of 2023,” said Ted Taxon, regional transportation manager at Sherwin Williams, in the case study. “This equated to approximately 460 truckloads of extra freight, a large portion of which ITS [handled] on an ad-hoc basis with no operational constraints or quality issues.”
The partnership also helped Sherwin Williams maintain a 90% fleet utilization rate with big box retailers—an increase from less than 70% prior to the partnership’s launch.
Robots are revolutionizing factories, warehouses, and distribution centers (DCs) around the world, thanks largely to heavy investments in the technology between 2019 and 2021. And although investment has slowed since then, the long-term outlook calls for steady growth over the next four years. According to data from research and consulting firm Interact Analysis, revenues from shipments of industrial robots are forecast to grow nearly 4% per year, on average, between 2024 and 2028 (see Exhibit 1).
EXHIBIT 1: Market forecast for industrial robots - revenuesInteract Analysis
Material handling is among the top applications for all those robots, accounting for one-third of overall robot market revenues in 2023, according to the research. That puts warehouses and DCs on the cutting edge of robotic innovation, with projects that are helping companies reduce costs, optimize labor, and improve productivity throughout their facilities. Here’s a look at two recent projects that demonstrate the kinds of gains companies have achieved by investing in robotic equipment.
FASTER, MORE ACCURATE CYCLE COUNTS
When leaders at MSI Surfaces wanted to get a better handle on their vast inventory of flooring, countertops, tile, and hardscape materials, they turned to warehouse inventory drone provider Corvus Robotics. The seven-year-old company offers a warehouse drone system, called Corvus One, that can be installed and deployed quickly—in what MSI leaders describe as a “plug and play” process. Corvus Robotics’ drones are fully autonomous—they require no external infrastructure, such as beacons or stickers for positioning and navigation, and no human operators. Essentially, all you need is the drone and a landing pad, and you’re in business.
The drones use computer vision and generative AI (artificial intelligence) to “understand” their environment, flying autonomously in both very narrow aisles—passageways as narrow as 50 inches—and in very wide aisles. The Corvus One system relies on obstacle detection to operate safely in warehouses and uses barcode scanning technology to count inventory; the advanced system can read any barcode symbol in any orientation placed anywhere on the front of a carton or pallet.
The system was the perfect answer to the inventory challenges MSI was facing. Its annual physical inventory counts required two to four dedicated warehouse associates, who would manually scan inventory to determine the amount of stock on hand. The process was both time-consuming and error-prone, and often led to inaccuracies. And it created a chain reaction of issues and problems. Fulfillment speed is one example: Lost or misplaced inventory would delay customer deliveries, resulting in dissatisfaction, returns, and unmet expectations. Productivity was also an issue: Workers were often pulled from fulfillment tasks to locate material, slowing overall operations.
MSI Surfaces began using the Corvus One system in 2021, deploying a small number of drones for daily inventory counts at its 300,000-square-foot distribution center (DC) in Orange, California. It quickly scaled up, adding more drones in Orange and expanding the system to three other DCs: in Houston; Savannah, Georgia; and Edison, New Jersey. The company plans to add more drones to the existing sites and expand the system to some of its smaller DCs as well, according to Corvus Robotics spokesperson Andrew Burer.
Those expansion plans are based on solid results: MSI’s inventory accuracy was about 80% prior to the drone implementation, but it quickly jumped to the high 90s—ultimately reaching 99%—after the company initiated the daily drone counts, according to Burer.
“We actually had an incident early on where one of the forklift drivers ran into the landing pad, rendering it inoperable for about a week while the Corvus team fixed it,” Burer recalls. “When we restarted the system, we noticed MSI’s inventory accuracy had dropped down to the 80s. But after flights resumed, accuracy quickly improved back to near perfect.” He adds that such collisions are rare as Corvus mounts landing pads high off the floor to avoid impacts but that accidents can still happen.
Overall, the system has helped speed warehouse operations in two key ways: First, the accuracy improvement means that associates no longer waste time searching for missing material in the warehouse. And second, the associates who used to conduct the physical inventory counts have been reallocated to picking and replenishment—creating a more efficient, and optimized, workforce.
A SAFER, MORE EFFICIENT WAREHOUSE
Robot maker Boston Dynamics is well-known for its Stretch and Spot industrial robots, both of which are at work in warehouses and DCs around the world. Earlier this year, Stretch made its debut in Europe, teaming up with Spot at a fulfillment center run by German retail company Otto Group. The deployment marks the first time Stretch and Spot are being used together—in a partnership designed to improve Otto Group’s warehousing operations by increasing efficiency and making warehouse work safer and more attractive to workers.
The partnership is part of a two-year project in which Boston Dynamics will deploy dozens of its warehouse robots in Otto Group’s European DCs. The first location is a fulfillment site operated by Hermes, the company’s parcel delivery subsidiary, in Haldensleben, Germany—a facility that handles as many as 40,000 cartons of goods on peak days.
At the site, Stretch—which is a mobile case-handling robot—autonomously unloads ocean containers and trailers, using its advanced perception system to pick and place boxes onto a telescoping conveyor inside the container or trailer. Spot—a quadruped robot—helps with predictive maintenance by collecting thermal data and performing acoustic and visual detection tasks throughout the facility to reduce unplanned downtime and energy costs. One of Spot’s jobs is to detect air leaks in the facility’s warehouse automation systems; future duties may include conveyor vibration detection, according to leaders at Otto Group.
Both Stretch and Spot will help the Haldensleben facility run more efficiently, especially during fall peak season when volume increases and work intensifies. The addition of Stretch addresses safety and comfort issues as well: Trailer unloading—a process that entails repeatedly lifting and moving heavy boxes inside a trailer, which can be dark, dirty, cold, and/or hot, depending on the weather—tends to be unappealing to workers. Along with reducing the amount of labor required, automating these tasks will have the added benefit for European facilities of helping them comply with EU (European Union) regulations limiting the amount of time workers can spend in those conditions.
Essentially, the robots are making life easier on the warehouse floor and for the company at large.
“Stretch is going to have a ton of benefits for customers here in the EU,” Andrew Brueckner, of Boston Dynamics, said in a recent case study on the project.
The trucking industry faces a range of challenges these days, particularly when it comes to load planning—a resource-intensive task that often results in suboptimal decisions, unnecessary empty miles, late deliveries, and inefficient asset utilization. What’s more, delays in decision-making due to a lack of real-time insights can hinder operational efficiency, making cost management a constant struggle.
Truckload carrier Paper Transport Inc. (PTI) experienced this firsthand when the company sought to expand its over the-road (OTR), intermodal, and brokerage offerings to include dedicated fleet services for high-volume shippers—adding a layer of complexity to the business. The additional personnel required for such a move would be extremely costly, leading PTI to investigate technology solutions that could help close the gap.
Enter Freight Science and its intelligent decision-recommendation and automation platform.
PTI implemented Freight Science’s artificial intelligence (AI)-driven load planning optimization solution earlier this year, giving the carrier a high-tech advantage as it launched the new service.
“As PTI tried to diversify … we found that we needed a technological solution that would allow us to process [information] faster,” explains Jared Stedl, chief commercial officer for PTI, emphasizing the high volume of outbound shipments and unique freight characteristics of its targeted dedicated-fleet customers.
The Freight Science platform allowed PTI to apply its signature high-quality service to those needs, all while handling the daily challenges of managing drivers and navigating route disruptions.
STREAMLINING PROCESSES
Dedicated fleets face challenges that evolve from day to day and minute to minute, including truck breakdowns, drivers calling in sick, and rescheduled appointment times. PTI needed a tool that allowed for a real-time view of the fleet, ultimately enabling its team to adjust truck and driver allocation to meet those challenges.
The Freight Science solution filled the bill. The platform uses advanced analytics and algorithms to give carriers better visibility into operations while automating the decision-making process. By combining streaming data, a carrier’s transportation management system (TMS), machine learning, and decision science, the solution allows carriers to deploy their fleets more efficiently while accurately forecasting future needs, according to Freight Science.
In PTI’s case, Freight Science’s software integrates with the carrier’s TMS, real-time electronic logging device (ELD) data, and other external data, feeding an AI model that generates an optimized load plan for the planner.
“We’re an integrated data analytics company for trucking companies,” explains Matt Foster, Freight Science’s president and CEO. “We’re talking about AI.”
The benefits of the real-time data are difficult to overstate.
“We’ve been able to execute in the toughest of situations because we’ve got real, live data on how long each event is actually going to take and a system to aid and even automate the decision-making process,” says Chad Borley, PTI’s operations manager. “From what traffic patterns we are battling in the morning and evening with rush hour and things like that, to the impact of additional miles to a route, or even location-specific dwell times, it’s been a huge differentiator for us.”
REALIZING RESULTS
A case in point: the collapse of Baltimore’s Francis Scott Key Bridge in March. PTI was scheduled to go live with a new dedicated account in the area just days after the collapse, which would mean rerouting and the potential for longer transit times. Instead of recalculating based on assumptions or latent data, PTI was able to reroute freight based on real-time information and analytics to give the customer timely updates.
“With the bridge going out, that changed our ability to make as many turns a day as the customer would expect,” Stedl explains. “But one of the things Freight Science could do [was to] quickly [assess] how much of an impact that traffic would have [and] what the turns [would] be based on what’s happening on the ground.
“So we were able to go back to the customer and readjust expectations in a real way that made sense, using data. Now expectations can be reset¾we’re not asking for forgiveness when there’s no reason for it.”
The system’s advanced algorithms make load planning more cost-effective and scalable as well. The platform allows PTI to monitor trucks, trailers, and driver hours in real time, recommending additional loads with remaining driver hours that would otherwise be wasted.
And they’re doing it all with much less. Stedl says tasks that used to require five people and hours of work can now be accomplished by one person in mere minutes, improving productivity and profitability while reducing labor and operational costs.
Terms of the deal were not disclosed, but Aptean said the move will add new capabilities to its warehouse management and supply chain management offerings for manufacturers, wholesalers, distributors, retailers, and 3PLs. Aptean currently provides enterprise resource planning (ERP), transportation management systems (TMS), and product lifecycle management (PLM) platforms.
Founded in 1980 and headquartered in Durham, U.K., Indigo Software provides software designed for mid-market organizations, giving users real-time visibility and management from the initial receipt of stock all the way through to final dispatch of the finished product. That enables organizations to optimize an array of warehouse operations including receiving, storage, picking, packing, and shipping, the firm says.
Specific sectors served by Indigo Software include the food and beverage, fashion and apparel, fast moving consumer goods, automotive, manufacturing, 3PL, chemicals, and wholesale / distribution verticals.
Schneider says its FreightPower platform now offers owner-operators significantly more access to Schneider’s range of freight options. That can help drivers to generate revenue and strengthen their business through: increased access to freight, high drop and hook rates of over 95% of loads, and a trip planning feature that calculates road miles.
“Collaborating with owner-operators is an important component in the success of our business and the reliable service we can provide customers, which is why the network has grown tremendously in the last 25 years,” Schneider Senior Vice President and General Manager of Truckload and Mexico John Bozec said in a release. "We want to invest in tools that support owner-operators in running and growing their businesses. With Schneider FreightPower, they gain access to better load management, increasing their productivity and revenue potential.”