As retailers prepare for the holiday shopping season, new inventory strategies and real-time data will be key to coping with the turbulent market forces of 2019.
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.
Consumers may see June and July as lazy days for swimming pools and backyard barbecues, but for retailers, it's another story altogether. In the retail supply chain world, the summer months are the critical period when retailers ramp up for the peak holiday shopping season ahead.
In decades past, these preparations consumed the better part of a year. To stock their shelves by Thanksgiving, merchants placed orders with manufacturers many months beforehand, amassing large quantities of stock to ensure they wouldn't be caught empty-handed when shoppers came flooding into their stores.
Over the past decade or so, however, retailers have been moving away from the traditional practice and pushing their ordering out until later and later in the year. Although that might sound risky, it's actually smart business. By ordering later, they can be more responsive to real-time demand and reduce their risk of getting stuck with overstocks that eventually have to be sold off at a discount, explains Dan Gilmore, chief marketing officer at supply chain technology provider Softeon.
But now the pendulum may be swinging back again. Many are questioning whether the delayed-ordering approach will still be sound strategy in 2019, a year that has been roiled by market forces such as hot e-commerce growth, tight trucking capacity, a slowing economy, and tariff threats and trade wars. "There are more uncertainties than you would normally find, and that is causing some problems around how to manage peak-season inventory flow," Gilmore says.
DEALING WITH THE DELUGE
All this presents enormous challenges for retail supply chain professionals. Even in the best of times, retail logistics leaders often struggle to find space to house all the inventory their companies requisition in advance of peak season, says Norm Saenz, managing director at the supply chain consulting firm St. Onge Co. "Now, the tariffs are scaring everybody, and that is having major retailers thinking about scrambling to get their inventory in sooner than usual"—a move that is only exacerbating the space problem, he says.
In the face of these capacity constraints, retail distribution leaders are rethinking some of their traditional inventory practices. For instance, they might be making more frequent replenishment shipments to stores than they once did in a bid to clear space in their warehouses and DCs for the new arrivals. Or they might be cross-docking more of their freight to eliminate the need to bring it into their warehouses and DCs altogether.
Likewise, they appear to be relying more heavily on outside partners than they might have in the past. Saenz says he's seen a rise in the use of third-party logistics service providers (3PLs) by companies facing a shortage of warehouse space.
Saenz also reports that he's seeing greater use of "inventory-shifting" techniques like drop shipping and vendor-direct shipments that allow retailers to fulfill customers' orders without holding the inventory in their own stores and warehouses. All of these strategies can help retailers reduce their total-network inventory, or the total amount of goods in their supply chain at any one time.
BETTER DATA FOR BETTER PERFORMANCE
Retailers and consumer packaged-goods (CPG) companies are feeling pressure in the run-up to the 2019 holiday season, agrees Ram Krishnan, chief marketing officer at artificial intelligence provider Aera Technologies. "People are freaking out a little bit and saying, 'Let's go with the time-tested technique and front-load,'" he says.
In order to handle that flow of extra goods earlier in the season, companies are striving to be more agile by analyzing feedback from real-time data and making decisions at the "point of impact"—fulfillment centers and retail shops—instead of at a distant corporate office. "Many companies' supply chains are designed on models and assumptions created 30 years ago about capacity, supply and demand, and productivity," Krishnan says. "Supply chains were built at scale for serving the masses. But those assumptions are being challenged."
Real-time data is a key ingredient for retailers trying to adjust to that new reality and predict how economic trends will affect consumer sales, says Jim Hull, senior director for global value delivery at supply chain technology firm JDA Software Group Inc. "Companies need the ability to sense and respond in order to be flexible and resilient," he says, adding that machine learning and big data can play a role in this regard.
"The best of all worlds is to position inventory [in front of customers] early and to sell it at full price and clear out that inventory at full margin," Hull says. "But it will get harder and harder for any retailer to hit those targets because of the growth of online sales [which require retailers to maintain a vast array of stock-keeping units] and the lengthening peak season," he says, noting that what was once a four- or five-week holiday shopping season has stretched to eight, nine, or 10 weeks.
Better data is also key to optimizing internal warehouse and logistics operations, according to St. Onge's Saenz. Although that might seem obvious, he says, many companies lack the basic data necessary to make good decisions.
Building a database for inventory management doesn't always require sophisticated inputs, just basic statistics like the items' weight and dimensions, Saenz says. Armed with those specs, users can make quick decisions on such questions as whether to store inventory by units or by pallet, what type of storage rack and material handling equipment is required, and how many loads they can fit in a trailer.
"It seems really basic, and maybe the big companies can do it, but most companies don't seem to have that information, so they end up oversizing or undersizing [their inventory]," Saenz says.
And in a turbulent year like 2019, committing these kinds of business blunders could prove fatal to retailers struggling to survive in a competitive marketplace.
"The motto of the day used to be 'Stack it high and let it fly,' but as they get better at supply chain management, companies are looking for ways to [adapt to] the world of e-commerce and cope with the pressure of tariffs," Softeon's Gilmore says. "We've seen store closings and bankruptcies in recent years. If you don't get the inventory game right, it's not just a hit to your profit; your very survival is at stake."
The supply chain risk management firm Overhaul has landed $55 million in backing, saying the financing will fuel its advancements in artificial intelligence and support its strategic acquisition roadmap.
The equity funding round comes from the private equity firm Springcoast Partners, with follow-on participation from existing investors Edison Partners and Americo. As part of the investment, Springcoast’s Chris Dederick and Holger Staude will join Overhaul’s board of directors.
According to Austin, Texas-based Overhaul, the money comes as macroeconomic and global trade dynamics are driving consequential transformations in supply chains. That makes cargo visibility and proactive risk management essential tools as shippers manage new routes and suppliers.
“The supply chain technology space will see significant consolidation over the next 12 to 24 months,” Barry Conlon, CEO of Overhaul, said in a release. “Overhaul is well-positioned to establish itself as the ultimate integrated solution, delivering a comprehensive suite of tools for supply chain risk management, efficiency, and visibility under a single trusted platform.”
Artificial intelligence (AI) and data science were hot business topics in 2024 and will remain on the front burner in 2025, according to recent research published in AI in Action, a series of technology-focused columns in the MIT Sloan Management Review.
In Five Trends in AI and Data Science for 2025, researchers Tom Davenport and Randy Bean outline ways in which AI and our data-driven culture will continue to shape the business landscape in the coming year. The information comes from a range of recent AI-focused research projects, including the 2025 AI & Data Leadership Executive Benchmark Survey, an annual survey of data, analytics, and AI executives conducted by Bean’s educational firm, Data & AI Leadership Exchange.
The five trends range from the promise of agentic AI to the struggle over which C-suite role should oversee data and AI responsibilities. At a glance, they reveal that:
Leaders will grapple with both the promise and hype around agentic AI. Agentic AI—which handles tasks independently—is on the rise, in the form of generative AI bots that can perform some content-creation tasks. But the authors say it will be a while before such tools can handle major tasks—like make a travel reservation or conduct a banking transaction.
The time has come to measure results from generative AI experiments. The authors say very few companies are carefully measuring productivity gains from AI projects—particularly when it comes to figuring out what their knowledge-based workers are doing with the freed-up time those projects provide. Doing so is vital to profiting from AI investments.
The reality about data-driven culture sets in. The authors found that 92% of survey respondents feel that cultural and change management challenges are the primary barriers to becoming data- and AI-driven—indicating that the shift to AI is about much more than just the technology.
Unstructured data is important again. The ability to apply Generative AI tools to manage unstructured data—such as text, images, and video—is putting a renewed focus on getting all that data into shape, which takes a whole lot of human effort. As the authors explain “organizations need to pick the best examples of each document type, tag or graph the content, and get it loaded into the system.” And many companies simply aren’t there yet.
Who should run data and AI? Expect continued struggle. Should these roles be concentrated on the business or tech side of the organization? Opinions differ, and as the roles themselves continue to evolve, the authors say companies should expect to continue to wrestle with responsibilities and reporting structures.
Shippers today are praising an 11th-hour contract agreement that has averted the threat of a strike by dockworkers at East and Gulf coast ports that could have frozen container imports and exports as soon as January 16.
The agreement came late last night between the International Longshoremen’s Association (ILA) representing some 45,000 workers and the United States Maritime Alliance (USMX) that includes the operators of port facilities up and down the coast.
Details of the new agreement on those issues have not yet been made public, but in the meantime, retailers and manufacturers are heaving sighs of relief that trade flows will continue.
“Providing certainty with a new contract and avoiding further disruptions is paramount to ensure retail goods arrive in a timely manner for consumers. The agreement will also pave the way for much-needed modernization efforts, which are essential for future growth at these ports and the overall resiliency of our nation’s supply chain,” Gold said.
The next step in the process is for both sides to ratify the tentative agreement, so negotiators have agreed to keep those details private in the meantime, according to identical statements released by the ILA and the USMX. In their joint statement, the groups called the six-year deal a “win-win,” saying: “This agreement protects current ILA jobs and establishes a framework for implementing technologies that will create more jobs while modernizing East and Gulf coasts ports – making them safer and more efficient, and creating the capacity they need to keep our supply chains strong. This is a win-win agreement that creates ILA jobs, supports American consumers and businesses, and keeps the American economy the key hub of the global marketplace.”
The breakthrough hints at broader supply chain trends, which will focus on the tension between operational efficiency and workforce job protection, not just at ports but across other sectors as well, according to a statement from Judah Levine, head of research at Freightos, a freight booking and payment platform. Port automation was the major sticking point leading up to this agreement, as the USMX pushed for technologies to make ports more efficient, while the ILA opposed automation or semi-automation that could threaten jobs.
"This is a six-year détente in the tech-versus-labor tug-of-war at U.S. ports," Levine said. “Automation remains a lightning rod—and likely one we’ll see in other industries—but this deal suggests a cautious path forward."
Editor's note: This story was revised on January 9 to include additional input from the ILA, USMX, and Freightos.
Logistics industry growth slowed in December due to a seasonal wind-down of inventory and following one of the busiest holiday shopping seasons on record, according to the latest Logistics Managers’ Index (LMI) report, released this week.
The monthly LMI was 57.3 in December, down more than a percentage point from November’s reading of 58.4. Despite the slowdown, economic activity across the industry continued to expand, as an LMI reading above 50 indicates growth and a reading below 50 indicates contraction.
The LMI researchers said the monthly conditions were largely due to seasonal drawdowns in inventory levels—and the associated costs of holding them—at the retail level. The LMI’s Inventory Levels index registered 50, falling from 56.1 in November. That reduction also affected warehousing capacity, which slowed but remained in expansion mode: The LMI’s warehousing capacity index fell 7 points to a reading of 61.6.
December’s results reflect a continued trend toward more typical industry growth patterns following recent years of volatility—and they point to a successful peak holiday season as well.
“Retailers were clearly correct in their bet to stock [up] on goods ahead of the holiday season,” the LMI researchers wrote in their monthly report. “Holiday sales from November until Christmas Eve were up 3.8% year-over-year according to Mastercard. This was largely driven by a 6.7% increase in e-commerce sales, although in-person spending was up 2.9% as well.”
And those results came during a compressed peak shopping cycle.
“The increase in spending came despite the shorter holiday season due to the late Thanksgiving,” the researchers also wrote, citing National Retail Federation (NRF) estimates that U.S. shoppers spent just short of a trillion dollars in November and December, making it the busiest holiday season of all time.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
As U.S. small and medium-sized enterprises (SMEs) face an uncertain business landscape in 2025, a substantial majority (67%) expect positive growth in the new year compared to 2024, according to a survey from DHL.
However, the survey also showed that businesses could face a rocky road to reach that goal, as they navigate a complex environment of regulatory/policy shifts and global market volatility. Both those issues were cited as top challenges by 36% of respondents, followed by staffing/talent retention (11%) and digital threats and cyber attacks (2%).
Against that backdrop, SMEs said that the biggest opportunity for growth in 2025 lies in expanding into new markets (40%), followed by economic improvements (31%) and implementing new technologies (14%).
As the U.S. prepares for a broad shift in political leadership in Washington after a contentious election, the SMEs in DHL’s survey were likely split evenly on their opinion about the impact of regulatory and policy changes. A plurality of 40% were on the fence (uncertain, still evaluating), followed by 24% who believe regulatory changes could negatively impact growth, 20% who see these changes as having a positive impact, and 16% predicting no impact on growth at all.
That uncertainty also triggered a split when respondents were asked how they planned to adjust their strategy in 2025 in response to changes in the policy or regulatory landscape. The largest portion (38%) of SMEs said they remained uncertain or still evaluating, followed by 30% who will make minor adjustments, 19% will maintain their current approach, and 13% who were willing to significantly adjust their approach.