Dr. Terry L. Esper is an associate professor of logistics at the Fisher College of Business of The Ohio State University. He has published several articles on issues associated with retail logistics and supply chain management strategy in leading academic and managerial outlets.
We’ve all seen the news. The rallies and protests triggered by the killing of George Floyd have taken center stage all across this country, as persons of all races and ethnicities gather in city streets to express frustration, hurt, and anger. These are, indeed, tense and “charged” times. Times that call for tough conversations within communities, about how racism, discrimination, biases, and differences in viewpoints shape the ways in which those communities function. This includes the supply chain management (SCM) community.
We have had long-held conversations regarding gender disparities in SCM, but the widescale focus on the George Floyd incident opens a door for us to bring the race conversation to the forefront. There are many things that we could discuss on race, but as a researcher of last-mile logistics and home delivery services, I’d like to raise one concerning issue for us to talk about, ponder, and hopefully act on.
I’ve been in SCM for over 25 years. I started as an intern for a state department of transportation, worked for a major carrier in claims and billing, launched my professional career managing small package transportation for a major corporation, and throughout these experiences, worked my way through college and graduate school, eventually earning a PhD in SCM. For the last 20 years, I’ve been in the SCM academic community, serving on faculty at many of the field’s most well-respected university programs. In this capacity I not only educate emerging SCM talent, but I also spend considerable time studying strategic SCM issues (like last-mile logistics) and working with several major corporations in the process. And, I must admit...In my many years of observing our industry from these various viewpoints and perspectives, never... never have I ever... been as concerned and fearful for the safety of frontline logistics and transportation workers as I am today.
Let me be more specific by adding another of my characteristics to my credentials—I’m a black man. It is part of my identity that triggered this piece, because while I am generally concerned about the safety of all frontline logistics workers, especially in light of COVID-19, I am most and directly concerned about my fellow black men in our SCM community that are charged with the task of providing last-mile delivery services. Let me also be clear in saying that this is not a new concern. It’s been brewing for some time. But a series of recent events, including the situation in Minneapolis, Minnesota, have brought my concern to a boiling point—prompting me to pull up a chair and attempt to start a conversation.
In case you missed this story in the news... a black male delivery driver was recently stopped by members of a neighborhood community demanding answers regarding his reasons for being there. These weren’t simple inquiries, mind you... they were demands, laced with threats of calling law enforcement, apparently out of concern for the safety of their neighborhood. The driver, recording it all via a mobile device, was eventually “allowed to leave”... but only after the delivery recipient intervened, assuring neighbors that the driver had a valid reason for being in their community.
Fast forward a few days, and another such incident occurs. In this case, a pair of FedEx independent contractors, black men in full FedEx uniform, deliver a package to a home. Upon leaving, a resident of the home chased and confronted the men, yelling threats and verbal attacks. After law enforcement intervention, the resident claimed that he had done so out of fear that these men were potential burglary threats. Again, the incident was video captured by one of the drivers.
Fast forward another week, and yet another example surfaces. A black man attempting a DoorDash delivery in an Arizona apartment complex was met by a resident with a drawn firearm. The resident claimed to be afraid of the delivery worker and held him at gunpoint until law enforcement arrived.
Now, some would classify these as isolated incidents, perhaps blown out of proportion by social media retweets and reposts. Some might argue that these are nothing more than simple misunderstandings that were captured and shared, in order to highlight one side of the story. I disagree. Either way, this disturbing pattern allows for a broader conversation, because what I know for sure is that these situations represent the oft unspoken fears and concerns that many Black men shoulder when navigating neighborhoods to make deliveries.
Stories abound where African Americans, particularly men, are reported to law enforcement for what is found to be benign occurrences, simply because their presence and/or disagreement are interpreted as a threat of significant harm. A most recent example involves Amy Cooper, a New York Central Park patron, who, upon being asked to leash her dog by a black man, called law enforcement and falsely claimed that her life was in danger...all while being recorded. This story was shocking to many, but came as no surprise to black men. We know that we are often viewed as a threat. It is an awareness that we carry, and an unfortunate tax of physicality that we pay. Yet, as the recent killings of Ahmaud Arbery and George Floyd have so hurtfully illustrated, we also know that our traipsing about city streets can be interpreted as threatening, and can lead to loss of life, even if law enforcement is involved.
And, that is what I want us... the SCM community... to consider.
I am concerned. The sheer numbers suggest an increased likelihood of situations similar to the delivery examples above. As we have seen, COVID-19 has caused more marketplace consumers to shift to online retail for food and product purchases, which means an increase in home deliveries, and an increased potential for delivery-related confrontations involving African American drivers. Furthermore, many online retailers and restaurants are turning to crowdsourced home-delivery service providers for last mile logistics, which means an increase in home deliveries made by drivers in “ordinary” vehicles wearing “ordinary” clothes. And, in the event that these ordinarily clothed delivery drivers are black men, there is unfortunate likelihood that we will see more reported repeats of the aforementioned delivery incidences. Perhaps with even worse outcomes, especially if not recorded.
SCM community, let’s take this seriously! Yes, the leading story of the day involves law enforcement in Minneapolis, but this emerging pattern of delivery-related issues suggests we also have problems in our SCM community. The sad truth is that, for black male delivery drivers, simply circling a neighborhood to find an address location, or opening a screen door in order to secure a package, comes with a real threat of being accused, accosted, arrested, or dare we even say...assaulted or killed. I ask that we not turn a deaf ear or blind eye to this issue, especially in light of the heightened tensions in our country. I wish I had a list of solutions to provide, but I don’t. I can only ask that we expand our thinking regarding driver safety. In addition to investing in things like PPE, advanced technologies, and updated delivery equipment as ways of enhancing driver safety, let’s also consider implementing processes and standards to combat the safety threats that biases and racial stereotypes pose for frontline delivery drivers—especially those that are African American and men.
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.”