Today’s AI-enabled chatbots can compare products, make personalized recommendations, and troubleshoot complex problems. And it appears that’s only the beginning.
Ben Ames has spent 20 years as a journalist since starting out as a daily newspaper reporter in Pennsylvania in 1995. From 1999 forward, he has focused on business and technology reporting for a number of trade journals, beginning when he joined Design News and Modern Materials Handling magazines. Ames is author of the trail guide "Hiking Massachusetts" and is a graduate of the Columbia School of Journalism.
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.
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.”
With the new Trump Administration continuing to threaten steep tariffs on Mexico, Canada, and China as early as February 1, supply chain organizations preparing for that economic shock must be prepared to make strategic responses that go beyond either absorbing new costs or passing them on to customers, according to Gartner Inc.
But even as they face what would be the most significant tariff changes proposed in the past 50 years, some enterprises could use the potential market volatility to drive a competitive advantage against their rivals, the analyst group said.
Gartner experts said the risks of acting too early to proposed tariffs—and anticipated countermeasures by trading partners—are as acute as acting too late. Chief supply chain officers (CSCOs) should be projecting ahead to potential countermeasures, escalations and de-escalations as part of their current scenario planning activities.
“CSCOs who anticipate that current tariff volatility will persist for years, rather than months, should also recognize that their business operations will not emerge successful by remaining static or purely on the defensive,” Brian Whitlock, Senior Research Director in Gartner’s supply chain practice, said in a release.
“The long-term winners will reinvent or reinvigorate their business strategies, developing new capabilities that drive competitive advantage. In almost all cases, this will require material business investment and should be a focal point of current scenario planning,” Whitlock said.
Gartner listed five possible pathways for CSCOs and other leaders to consider when faced with new tariff policy changes:
Retire certain products: Tariff volatility will stress some specific products, or even organizations, to a breaking point, so some enterprises may have to accept that worsening geopolitical conditions should force the retirement of that product.
Renovate products to adjust: New tariffs could prompt renovations (adjustments) to products that were overdue, as businesses will need to take a hard look at the viability of raising or absorbing costs in a still price-sensitive environment.
Rebalance: Additional volatility should be factored into future demand planning, as early winners and losers from initial tariff policies must both be prepared for potential countermeasures, policy escalations and de-escalations, and competitor responses.
Reinvent: As tariff volatility persists, some companies should consider investing in new projects in markets that are not impacted or that align with new geopolitical incentives. Others may pivot and repurpose existing facilities to serve local markets.
Reinvigorate: Early winners of announced tariffs should seek opportunities to extend competitive advantages. For example, they could look to expand existing US-based or domestic manufacturing capacity or reposition themselves within the market by lowering their prices to take market share and drive business growth.
Netstock included the upgrades in AI Pack, a series of capabilities within the firm’s Predictor Inventory Advisor platform, saying they will unlock supply chain agility and enable SMBs to optimize inventory management with advanced intelligence.
The new tools come as SMBs are navigating an ever-increasing storm of supply chain challenges, even as many of those small companies are still relying on manual processes that limit their visibility and adaptability, the company said.
Despite those challenges, AI adoption among SMBs remains slow. Netstock’s recent Benchmark Report revealed that concerns about data integrity and inconsistent answers are key barriers to AI adoption in logistics, with only 23% of the SMBs surveyed having invested in AI.
Netstock says its new AI Pack is designed to help SMBs overcome these hurdles.
“Many SMBs are still relying on outdated tools like spreadsheets and phone calls to manage their inventory. Dashboards have helped by visualizing the right data, but for lean teams, the sheer volume of information can quickly lead to overload. Even with all the data in front of them, it’s tough to know what to do next,” Barry Kukkuk, CTO at Netstock, said in a release.
“Our latest AI capabilities change that by removing the guesswork and delivering clear, actionable recommendations. This makes decision-making easier, allowing businesses to focus on building stronger supplier relationships and driving strategic growth, rather than getting bogged down in the details of inventory management,” Kukkuk said.
The French transportation visibility provider Shippeo today said it has raised $30 million in financial backing, saying the money will support its accelerated expansion across North America and APAC, while driving enhancements to its “Real-Time Transportation Visibility Platform” product.
The funding round was led by Woven Capital, Toyota’s growth fund, with participation from existing investors: Battery Ventures, Partech, NGP Capital, Bpifrance Digital Venture, LFX Venture Partners, Shift4Good and Yamaha Motor Ventures. With this round, Shippeo’s total funding exceeds $140 million.
Shippeo says it offers real-time shipment tracking across all transport modes, helping companies create sustainable, resilient supply chains. Its platform enables users to reduce logistics-related carbon emissions by making informed trade-offs between modes and carriers based on carbon footprint data.
"Global supply chains are facing unprecedented complexity, and real-time transport visibility is essential for building resilience” Prashant Bothra, Principal at Woven Capital, who is joining the Shippeo board, said in a release. “Shippeo’s platform empowers businesses to proactively address disruptions by transforming fragmented operations into streamlined, data-driven processes across all transport modes, offering precise tracking and predictive ETAs at scale—capabilities that would be resource-intensive to develop in-house. We are excited to support Shippeo’s journey to accelerate digitization while enhancing cost efficiency, planning accuracy, and customer experience across the supply chain.”
ReposiTrak, a global food traceability network operator, will partner with Upshop, a provider of store operations technology for food retailers, to create an end-to-end grocery traceability solution that reaches from the supply chain to the retail store, the firms said today.
The partnership creates a data connection between suppliers and the retail store. It works by integrating Salt Lake City-based ReposiTrak’s network of thousands of suppliers and their traceability shipment data with Austin, Texas-based Upshop’s network of more than 450 retailers and their retail stores.
That accomplishment is important because it will allow food sector trading partners to meet the U.S. FDA’s Food Safety Modernization Act Section 204d (FSMA 204) requirements that they must create and store complete traceability records for certain foods.
And according to ReposiTrak and Upshop, the traceability solution may also unlock potential business benefits. It could do that by creating margin and growth opportunities in stores by connecting supply chain data with store data, thus allowing users to optimize inventory, labor, and customer experience management automation.
"Traceability requires data from the supply chain and – importantly – confirmation at the retail store that the proper and accurate lot code data from each shipment has been captured when the product is received. The missing piece for us has been the supply chain data. ReposiTrak is the leader in capturing and managing supply chain data, starting at the suppliers. Together, we can deliver a single, comprehensive traceability solution," Mark Hawthorne, chief innovation and strategy officer at Upshop, said in a release.
"Once the data is flowing the benefits are compounding. Traceability data can be used to improve food safety, reduce invoice discrepancies, and identify ways to reduce waste and improve efficiencies throughout the store,” Hawthorne said.
Under FSMA 204, retailers are required by law to track Key Data Elements (KDEs) to the store-level for every shipment containing high-risk food items from the Food Traceability List (FTL). ReposiTrak and Upshop say that major industry retailers have made public commitments to traceability, announcing programs that require more traceability data for all food product on a faster timeline. The efforts of those retailers have activated the industry, motivating others to institute traceability programs now, ahead of the FDA’s enforcement deadline of January 20, 2026.