Automation creates opportunity in logistics real estate
Rapid adoption of warehouse automation technologies is helping logistics customers tap potential in urban areas and make strides in e-fulfillment, research shows.
Victoria Kickham started her career as a newspaper reporter in the Boston area before moving into B2B journalism. She has covered manufacturing, distribution and supply chain issues for a variety of publications in the industrial and electronics sectors, and now writes about everything from forklift batteries to omnichannel business trends for DC Velocity.
The accelerating adoption of warehouse automation technology is creating a wave of change in the industrial real estate market, especially when it comes to tapping the potential of urban markets and making strides in e-commerce fulfilment. That’s according to a research paper from logistics real estate giant Prologis, released Wednesday.
This first in a two-part series on warehouse automation aims to help logistics customers understand the converging trends that are driving the adoption of new technologies and explain how customers can prepare to take advantage of those trends in 2021. Rapidly increasing e-commerce activity, labor-related challenges due to Covid-19, and steadily improving technology solutions are converging to make this a top issue in the industrial real estate market, according to Prologis.
“I think the key takeaway here is [that] this is all the product of a lot of change that’s happening all at once,” Melinda McLaughlin, head of Prologis’ research team, said in an interview about the report. “There’s going to be the need for more logistics space, close to end consumers—especially modern [facilities] that can accommodate [warehouse automation].”
The trend is being punctuated by a slowdown in construction that could create a crunch for logistics real estate in 2021.
“These [trends] are all coming to a head at the same time that we’ve seen construction slow down,” McLaughlin added. “[The] likelihood of a critical shortage of space to accomodate all this is real.”
Three key points highlight the overall warehouse automation trend, according to the research:
The adoption of automation within logistics facilities has rapidly accelerated–what was expected to take years to gain traction is occurring in mere months. Adoption of one or more types of automation technologies is between 20% and 25% across logistics real estate facilities.
Covid-19 has accelerated the growth of e-commerce operations, which is three times more labor intensive compared to traditional logistics operations and has twice the volatility in sales compared to brick-and-mortar retail. Automation can improve labor productivity and smooth out peaks.
Automation can help unlock urban distribution center locations where labor costs and availability have traditionally been hurdles–it spurs opportunities for expansions into markets with limited labor pools.
McLaughlin said Prologis clients are starting to experiment with micro fulfillment technologies—especially in urban locations—as they seek to put more inventory in close proximity to customers and reduce their reliance on labor. She said she expects that trend to continue in 2021.
“I think the diamond in the rough here is finding a modern facility in a great location,” she said. “Once you start to have more independence in your location choice—and automation does open up that possibility—you can start to create a supply chain that has even more of a competitive advantage than it does today.”
Oh, you work in logistics, too? Then you’ve probably met my friends Truedi, Lumi, and Roger.
No, you haven’t swapped business cards with those guys or eaten appetizers together at a trade-show social hour. But the chances are good that you’ve had conversations with them. That’s because they’re the online chatbots “employed” by three companies operating in the supply chain arena—TrueCommerce,Blue Yonder, and Truckstop. And there’s more where they came from. A number of other logistics-focused companies—like ChargePoint,Packsize,FedEx, and Inspectorio—have also jumped in the game.
While chatbots are actually highly technical applications, most of us know them as the small text boxes that pop up whenever you visit a company’s home page, eagerly asking questions like:
“I’m Truedi, the virtual assistant for TrueCommerce. Can I help you find what you need?”
“Hey! Want to connect with a rep from our team now?”
“Hi there. Can I ask you a quick question?”
Chatbots have proved particularly popular among retailers—an October survey by artificial intelligence (AI) specialist NLX found that a full 92% of U.S. merchants planned to have generative AI (GenAI) chatbots in place for the holiday shopping season. The companies said they planned to use those bots for both consumer-facing applications—like conversation-based product recommendations and customer service automation—and for employee-facing applications like automating business processes in buying and merchandising.
But how smart are these chatbots really? It varies. At the high end of the scale, there’s “Rufus,” Amazon’s GenAI-powered shopping assistant. Amazon says millions of consumers have used Rufus over the past year, asking it questions either by typing or speaking. The tool then searches Amazon’s product listings, customer reviews, and community Q&A forums to come up with answers. The bot can also compare different products, make product recommendations based on the weather where a consumer lives, and provide info on the latest fashion trends, according to the retailer.
Another top-shelf chatbot is “Manhattan Active Maven,” a GenAI-powered tool from supply chain software developer Manhattan Associates that was recently adopted by the Army and Air Force Exchange Service. The Exchange Service, which is the 54th-largest retailer in the U.S., is using Maven to answer inquiries from customers—largely U.S. soldiers, airmen, and their families—including requests for information related to order status, order changes, shipping, and returns.
However, not all chatbots are that sophisticated, and not all are equipped with AI, according to IBM. The earliest generation—known as “FAQ chatbots”—are only clever enough to recognize certain keywords in a list of known questions and then respond with preprogrammed answers. In contrast, modern chatbots increasingly use conversational AI techniques such as natural language processing to “understand” users’ questions, IBM said. It added that the next generation of chatbots with GenAI capabilities will be able to grasp and respond to increasingly complex queries and even adapt to a user’s style of conversation.
Given their wide range of capabilities, it’s not always easy to know just how “smart” the chatbot you’re talking to is. But come to think of it, maybe that’s also true of the live workers we come in contact with each day. Depending on who picks up the phone, you might find yourself speaking with an intern who’s still learning the ropes or a seasoned professional who can handle most any challenge. Either way, the best way to interact with our new chatbot colleagues is probably to take the same approach you would with their human counterparts: Start out simple, and be respectful; you never know what you’ll learn.
With the hourglass dwindling before steep tariffs threatened by the new Trump Administration will impose new taxes on U.S. companies importing goods from abroad, organizations need to deploy strategies to handle those spiraling costs.
American companies with far-flung supply chains have been hanging for weeks in a “wait-and-see” situation to learn if they will have to pay increased fees to U.S. Customs and Border Enforcement agents for every container they import from certain nations. After paying those levies, companies face the stark choice of either cutting their own profit margins or passing the increased cost on to U.S. consumers in the form of higher prices.
The impact could be particularly harsh for American manufacturers, according to Kerrie Jordan, Group Vice President, Product Management at supply chain software vendor Epicor. “If higher tariffs go into effect, imported goods will cost more,” Jordan said in a statement. “Companies must assess the impact of higher prices and create resilient strategies to absorb, offset, or reduce the impact of higher costs. For companies that import foreign goods, they will have to find alternatives or pay the tariffs and somehow offset the cost to the business. This can take the form of building up inventory before tariffs go into effect or finding an equivalent domestic alternative if they don’t want to pay the tariff.”
Tariffs could be particularly painful for U.S. manufacturers that import raw materials—such as steel, aluminum, or rare earth minerals—since the impact would have a domino effect throughout their operations, according to a statement from Matt Lekstutis, Director at consulting firm Efficio. “Based on the industry, there could be a large detrimental impact on a company's operations. If there is an increase in raw materials or a delay in those shipments, as being the first step in materials / supply chain process, there is the possibility of a ripple down effect into the rest of the supply chain operations,” Lekstutis said.
New tariffs could also hurt consumer packaged goods (CPG) retailers, which are already being hit by the mere threat of tariffs in the form of inventory fluctuations seen as companies have rushed many imports into the country before the new administration began, according to a report from Iowa-based third party logistics provider (3PL) JT Logistics. That jump in imported goods has quickly led to escalating demands for expanded warehousing, since CPG companies need a place to store all that material, Jamie Cord, president and CEO of JT Logistics, said in a release
Immediate strategies to cope with that disruption include adopting strategies that prioritize agility, including capacity planning and risk diversification by leveraging multiple fulfillment partners, and strategic inventory positioning across regional warehouses to bypass bottlenecks caused by trade restrictions, JT Logistics said. And long-term resilience recommendations include scenario-based planning, expanded supplier networks, inventory buffering, multimodal transportation solutions, and investment in automation and AI for insights and smarter operations, the firm said.
“Navigating the complexities of tariff-driven disruptions requires forward-thinking strategies,” Cord said. “By leveraging predictive modeling, diversifying warehouse networks, and strategically positioning inventory, JT Logistics is empowering CPG brands to remain adaptive, minimize risks, and remain competitive in the current dynamic market."
With so many variables at play, no company can predict the final impact of the potential Trump tariffs, so American companies should start planning for all potential outcomes at once, according to a statement from Nari Viswanathan, senior director of supply chain strategy at Coupa Software. Faced with layers of disruption—with the possible tariffs coming on top of pre-existing geopolitical conflicts and security risks—logistics hubs and businesses must prepare for any what-if scenario. In fact, the strongest companies will have scenarios planned as far out as the next three to five years, Viswanathan said.
Grocery shoppers at select IGA, Price Less, and Food Giant stores will soon be able to use an upgraded in-store digital commerce experience, since store chain operator Houchens Food Group said it would deploy technology from eGrowcery, provider of a retail food industry white-label digital commerce platform.
Kentucky-based Houchens Food Group, which owns and operates more than 400 grocery, convenience, hardware/DIY, and foodservice locations in 15 states, said the move would empower retailers to rethink how and when to engage their shoppers best.
“At HFG we are focused on technology vendors that allow for highly targeted and personalized customer experiences, data-driven decision making, and e-commerce capabilities that do not interrupt day to day customer service at store level. We are thrilled to partner with eGrowcery to assist us in targeting the right audience with the right message at the right time,” Craig Knies, Chief Marketing Officer of Houchens Food Group, said in a release.
Michigan-based eGrowcery, which operates both in the United States and abroad, says it gives retail groups like Houchens Food Group the ability to provide a white-label e-commerce platform to the retailers it supplies, and integrate the program into the company’s overall technology offering. “Houchens Food Group is a great example of an organization that is working hard to simultaneously enhance its technology offering, engage shoppers through more channels and alleviate some of the administrative burden for its staff,” Patrick Hughes, CEO of eGrowcery, said.
The 40-acre solar facility in Gentry, Arkansas, includes nearly 18,000 solar panels and 10,000-plus bi-facial solar modules to capture sunlight, which is then converted to electricity and transmitted to a nearby electric grid for Carroll County Electric. The facility will produce approximately 9.3M kWh annually and utilize net metering, which helps transfer surplus power onto the power grid.
Construction of the facility began in 2024. The project was managed by NextEra Energy and completed by Verogy. Both Trio (formerly Edison Energy) and Carroll Electric Cooperative Corporation provided ongoing consultation throughout planning and development.
“By commissioning this solar facility, J.B. Hunt is demonstrating our commitment to enhancing the communities we serve and to investing in economically viable practices aimed at creating a more sustainable supply chain,” Greer Woodruff, executive vice president of safety, sustainability and maintenance at J.B. Hunt, said in a release. “The annual amount of clean energy generated by the J.B. Hunt Solar Facility will be equivalent to that used by nearly 1,200 homes. And, by drawing power from the sun and not a carbon-based source, the carbon dioxide kept from entering the atmosphere will be equivalent to eliminating 1,400 passenger vehicles from the road each year.”
As a contract provider of warehousing, logistics, and supply chain solutions, Geodis often has to provide customized services for clients.
That was the case recently when one of its customers asked Geodis to up its inventory monitoring game—specifically, to begin conducting quarterly cycle counts of the goods it stored at a Geodis site. Trouble was, performing more frequent counts would be something of a burden for the facility, which still conducted inventory counts manually—a process that was tedious and, depending on what else the team needed to accomplish, sometimes required overtime.
So Levallois, France-based Geodis launched a search for a technology solution that would both meet the customer’s demand and make its inventory monitoring more efficient overall, hoping to save time, labor, and money in the process.
SCAN AND DELIVER
Geodis found a solution with Gather AI, a Pittsburgh-based firm that automates inventory monitoring by deploying small drones to fly through a warehouse autonomously scanning pallets and cases. The system’s machine learning (ML) algorithm analyzes the resulting inventory pictures to identify barcodes, lot codes, text, and expiration dates; count boxes; and estimate occupancy, gathering information that warehouse operators need and comparing it with what’s in the warehouse management system (WMS).
Among other benefits, this means employees no longer have to spend long hours doing manual inventory counts with order-picker forklifts. On top of that, the warehouse manager is able to view inventory data in real time from a web dashboard and identify and address inventory exceptions.
But perhaps the biggest benefit of all is the speed at which it all happens. Gather AI’s drones perform those scans up to 15 times faster than traditional methods, the company says. To that point, it notes that before the drones were deployed at the Geodis site, four manual counters could complete approximately 800 counts in a day. By contrast, the drones are able to scan 1,200 locations per day.
FLEXIBLE FLYERS
Although Geodis had a number of options when it came to tech vendors, there were a couple of factors that tipped the odds in Gather AI’s favor, the partners said. One was its close cultural fit with Geodis. “Probably most important during that vetting process was understanding the cultural fit between Geodis and that vendor. We truly wanted to form a relationship with the company we selected,” Geodis Senior Director of Innovation Andy Johnston said in a release.
Speaking to this cultural fit, Johnston added, “Gather AI understood our business, our challenges, and the course of business throughout our day. They trained our personnel to get them comfortable with the technology and provided them with a tool that would truly make their job easier. This is pretty advanced technology, but the Gather AI user interface allowed our staff to see inventory variances intuitively, and they picked it up quickly. This shows me that Gather AI understood what we needed.”
Another factor in Gather AI’s favor was the prospect of a quick and easy deployment: Because the drones can conduct their missions without GPS or Wi-Fi, the supplier would be able to get its solution up and running quickly. In the words of Geodis Industrial Engineer Trent McDermott, “The Gather AI implementation process was efficient. There were no IT infrastructure or layout changes needed, and Gather AI was flexible with the installation to not disrupt peak hours for the operations team.”
QUICK RESULTS
Once the drones were in the air, Geodis saw immediate improvements in cycle counting speed, according to Gather AI. But that wasn’t the only benefit: Geodis was also able to more easily find misplaced pallets.
“Previously, we would research the inventory’s systemic license plate number (LPN),” McDermott explained. “We could narrow it down to a portion or a section of the warehouse where we thought that LPN was, but there was still a lot of ambiguity. So we would send an operator out on a mission to go hunt and find that LPN,” a process that could take a day or two to complete. But the days of scouring the facility for lost pallets are over. With Gather AI, the team can simply search in the dashboard to find the last location where the pallet was scanned.
And about that customer who wanted more frequent inventory counts? Geodis reports that it completed its first quarterly count for the client in half the time it had previously taken, with no overtime needed. “It’s a huge win for us to trim that time down,” McDermott said. “Just two weeks into the new quarter, we were able to have 40% of the warehouse completed.”