Upgraded IoT systems, drones, and handheld devices are giving DC managers better visibility into their operations than ever before. But experts warn that it takes more than super-accurate counts to master the inventory game.
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.
Ask 10 warehousing experts about the optimal level of inventory visibility, and you'll get a dozen different responses.
Sure, most would agree on the importance of accurate inventory counts—knowing exactly how many items are in every carton, crate, and pallet stored in the facility. But depending on what type of goods the warehouse handles, opinions will vary widely on how much accuracy is good enough and what's the best technique for counting.
Fortunately, we live in an age when there have never been so many tools available to take those counts. Workers can perform cycle counts with paper and clipboards, as they've done for decades. Or a facility can deploy internet of things (IoT) sensors at dock doors, computer-vision cameras mounted on conveyors, handheld RFID (radio-frequency identification) scanners, wearable devices like ring scanners or voice-picking headsets, autonomous mobile robots (AMRs), or even indoor flying drones.
In fact, many companies are now using those devices to obtain snapshots of the inventory held in various locations throughout their DCs. But assembling those snapshots into a full panoramic view remains an almost mythical pursuit, according to John Santagate, vice president, robotics at Körber Supply Chain Software. "Visibility remains the unicorn in warehouse operations," Santagate says. "No matter how much automation and RFID you have, you need to tie it all together. Visibility for visibility's sake is somewhat useless."
In other words, simply collecting data isn't enough these days. To master the inventory visibility game, a company must be able to analyze the information it collects; compare the results to the records in, say, its warehouse management system (WMS) or order management system (OMS); and quickly act on any discrepancies. Done right, these steps can lead to a number of follow-on benefits, including the ability to track and trace on demand, determine optimal restocking rates, and build the supply chain resilience needed to weather the inevitable supply disruptions.
However, few companies have reached that goal, Santagate says. "You need to know what's in the entire network, where it is, and how to capitalize on it. Most folks are still chasing that and making [only] incremental improvements."
CLOSING THE GAP
Santagate's assessment is backed up by a study conducted last August among 1,000 U.S. supply chain managers by Impinj, a developer of RFID solutions and software. In its "Supply Chain Integrity Outlook 2025" research report, the firm found that the majority (91%) of supply chain managers believe they are equipped to drive accurate supply chain visibility, but only a third (33%) can consistently obtain accurate, real-time inventory data.
According to Impinj's chief revenue officer, Jeff Dossett, that data accuracy gap leaves many struggling to attain the level of insights, visibility, and accuracy required to drive confidence in their supply chain and respond quickly to market changes. "Supply chain managers continue to face data blind spots that prevent them from ensuring secure, reliable, and adaptable supply chains," Dossett said in a release announcing the study's findings. "It's essential that organizations address the data accuracy gap by putting technology in place to surface accurate data that fuels the real-time, actionable insights and visibility needed to ensure supply chain resilience."
HOW SHARP IS YOUR VISION?
That raises a couple of questions for DC managers seeking to bridge that visibility gap: How much detail is good enough, and how can they make the optimal use of the data they collect?
Those are tricky questions to answer, because many warehouse managers probably don't realize what they're missing, says Chris Coote, head of product at Dexory, a London-based company that makes inventory-counting robots.
In fact, enhanced visibility sometimes brings to light underlying problems that managers didn't realize they had. "Visibility reveals what people don't know about their warehouse," Coote says. For example, he says, there could be a corner of the warehouse that's particularly prone to mispicks, but the managers are not aware there's a problem and don't scan for that. "Or the [problem] could be something they do scan for but don't realize they could be [addressing more effectively]."
Most people think their system of record is pretty good, but in reality, those systems can almost always be improved, according to Coote. In many cases, those improvements would bring real benefits, like freeing human workers from the drudgery of case counting so they can take on higher-level tasks, he says.
Dexory's view aligns closely with Körber's perspective on inventory visibility—so closely, in fact, that the two companies last month launched a partnership to integrate the DexoryView advanced visibility platform with Körber's warehouse management software (WMS). The partnership will enable users to swiftly uncover and address issues in the warehouse through data-driven decision-making based on Dexory's daily scans of the facility, the companies said.
Based on these and other market developments, it looks like the warehouse visibility sector is getting its moment in the sun. It's also clear that the technology used for inventory counting is getting "smarter" and faster by the day. Together, those trends could combine to shine a bright light on the darkest corners of the warehouse, illuminating every pallet, case, and carton so DCs can get a sharper view of all the inventory inside.
Supply chain technology firm Manhattan Associates, which is known for its “tier one” warehouse, transportation, and labor management software products, says that CEO Eddie Capel will retire tomorrow after 25 total years at the California company, including 12 as its top executive.
Capel originally joined Manhattan in 2000, and, after serving in various operations and technology roles, became its chief operating officer (COO) in 2011 and its president and CEO in 2013.
He will continue to serve Manhattan in the role of Executive Vice-Chairman of the Board, assisting with the CEO transition and special projects. Capel will be succeeded in the corner officer by Eric Clark, who has been serving as CEO of NTT Data North America, the U.S. arm of the Japan-based tech services firm.
Texas-based NTT Data North America says its services include business and technology consulting, data and artificial intelligence, and industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity.
Clark comes to his new role after joining NTT in 2018 and becoming CEO in 2022. Earlier in his career, he had held senior leadership positions with ServiceNow, Dell, Hewlett Packard Enterprise, Arthur Andersen Business Consulting, Ernst & Young and Bank of America.
“This is an ideal time for a CEO transition,” Capel said in a release. “Our company is in an exceptionally strong position strategically, competitively, operationally and financially. I want to thank our management team and our entire workforce, which is second to none, for their hard work and dedication to our mission of advancing global commerce through advanced technology. I look forward to working closely with Eric and continuing to contribute to our product vision, interacting with our customers and partners, and ensuring the growth and success of Manhattan Associates.”
Having reported on the supply chain world for some 25 years, I've seen technologies come and go. Many were once touted as the best thing since sliced bread but either failed to live up to the hype or else had to simmer a few years before they caught on.
Remember the hoopla surrounding dot-com retail? In the late 1990s, we were told that stores as we knew them would eventually go away, to be totally replaced by online shopping. The ease and convenience of e-commerce made that a reasonable expectation. But in March 2000, the bubble burst, and a host of online retailers closed their virtual doors forever. Of course, online shopping is still very much with us, and its share of total retail sales is growing by the year. Maybe we'll get to that retail seventh heaven someday, but it's taking much longer than originally predicted.
Then there's RFID (radio-frequency identification). These small electronic tags were going to replace barcodes largely because of the vast amount of data they can hold and their capacity to update information.
In 2003, Walmart famously demanded that its top 100 suppliers affix RFID tags to all pallets and cases shipped to its DCs. We figured that if Walmart had gone all in on RFID, the rest of the industry would automatically follow. Well, not so fast. It's true that after years of stutter-step progress, Walmart today is more heavily invested in RFID than ever. But in the rest of the world, the humble barcode is still king.
A more recently hyped technology is blockchain. It was actually conceived back in 1982 but remained just a concept until 2008, when a person (or persons) using the name "Satoshi Nakamoto" created an actual blockchain to serve as the public distributed ledger for cryptocurrency transactions. Blockchain was expected to revolutionize the way supply chain partners do business. But it, too, has been a bit slow to take off, and it's still unclear how the blockchain story will play out.
That brings us to the latest potentially game-changing technology: artificial intelligence (AI). In some ways, AI is really just data analytics on steroids. Supply chains have relied on data analytics for decades—the difference now is the promise of greater accuracy and better simulations. Will it ultimately change everything we do in supply chain management? Maybe. But it may take a while. A November report from workplace tools developer Slack showed that AI adoption rates among U.S. workers had slowed in the last quarter, while a recent analysis of open supply chain jobs by software integration specialist Cleo found that only 2% of open jobs required AI skills.
So is AI just another fad or a truly transformative technology? It appears we'll need a few good use cases before we can make that call.
The company’s Oracle Cloud SCM is part of its Oracle Fusion Cloud Applications Suite, and enables customers to connect supply chain processes and quickly respond to changing demand, supply, and market conditions. In addition, embedded AI now acts as an advisor to help analyze supply chain data, generate content, and augment or automate processes to help improve business operations and create a resilient supply network to outpace change, Oracle says.
The new tech comes in the form of role-based AI agents within Oracle Cloud SCM that are designed to automate routine tasks, deliver personalized insights and recommendations, and allow organizations to focus more time on strategic supply chain initiatives. While past versions of Oracle software already included AI assistants—that could formulate descriptions or write emails—the new AI agents can help users by answering natural language queries about complex rules such as a policy document on returns or claims.
“One of our goals is to not have AI be an esoteric thing that you need special training to use, but just to act as part of the tool, to help you accomplish each task according to the standards of your own particular company,” Srini Rajagopal, Oracle’s vice president of logistics product strategy, said in a briefing.
For example, once a company’s IT office has uploaded the firm’s unique policy documents—on issues such as packaging, deadlines, or transaction requirements—then all the company’s customer service representatives (CSRs) can use the new AI-based advisory agents to type natural-language queries into a text-based chat box to obtain quick answers to complicated questions.
In addition to providing quick business answers to current employees, that approach can also help to train new workers on company policies in a labor market with high turnover rates. Additional use cases could apply to workers in roles such as a shop floor operator or warehouse worker, Rajagopal said.
In another application of the new AI, the updates have added new capabilities to Oracle Transportation Management, Oracle Global Trade Management, and Oracle Order Management.
Applied to the transportation management system (TMS) product, the AI enables “better, faster, smarter” operations through new capabilities such as AI-powered order route predictions, transit time predictions, and a transportation emissions calculator. In the global trade management (GTM) took, the new AI supports a user-configurable platform that can provide trade incentive program processing relief and reporting. And in the order management software, the AI can provide a returns summary, pricing promotions summary, item availability check, and order fulfillment view.
“To successfully navigate an increasingly complex global landscape, supply chain leaders need agile and efficient processes that can help them diversify and strengthen supplier networks, adapt transportation and logistics strategies, and stay ahead of regulatory changes,” Rajagopal said in a release.
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.”
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.