Author Michael Lewis sees turbulent future for freight markets in age of big data
Transportation companies will soon hire statistics experts to draw conclusions from data churned out by ELD mandate, Moneyball author says at trade show.
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.
The freight industry could see sweeping changes in leadership as the sector goes through growing pains to adjust to a new age of big data and analytics, author Michael Lewis said in keynote remarks at a transportation industry conference in Dallas today.
"We're living in a moment where we're beginning to understand that data has magical possibilities," said Lewis, who is known for nonfiction book titles including Liar's Poker and The Big Short.
Speaking at FreightWaves' MarketWaves18 show, Lewis cited an example from the world of public policy, where data compiled by the U.S. Department of Commerce has recently revealed the depth of the nation's opioid drug addiction crisis. Keeping the federal government running smoothly through transitions between political administrations is the subject of Lewis' most recent book, The Fifth Risk.
In another policy application, he described the burgeoning amount of data collected by the government's National Weather Service, allowing analysts to create five-day forecasts that are as accurate as one-day forecasts were 30 years ago.
Now those types of revelations are also on schedule to rock the world of freight and transportation, as the federal electronic logging device (ELD) mandate creates large troves of raw data that can reveal hidden patterns that allow trucking companies to operate more efficiently, he said.
In the face of that change, many transportation and logistics companies will soon be hiring experts in statistics and analysis, instead of employing leaders drawn from the traditional ranks of family-owned fleets and relationship-based businesses, Lewis predicted.
That pattern would mimic the impact made on a different industry by Lewis' 2003 book Moneyball, which described how Oakland A's manager Billy Beane pulled a coupe on his better-funded competitors by using statistics to expose inefficiencies in how teams had always signed baseball players. Beane soon started winning games, and in short order, most professional teams in the league had hired data-driven analytics experts and fired the talent scouts who had operated by gut instinct alone.
Confronted by reams of fresh data suddenly revealed to the logistics industry by the ELD mandate, that pattern could play out again. "Either the trucking industry is going to change or the people in it are going to change," Lewis said. "I would look for massive change at the management level as they adapt."
That transition could be painful. Just as many old baseball scouts lost their jobs in the new age of baseball analytics following the publication of Moneyball, an older generation of transportation professionals may soon find themselves displaced by statisticians, and truck drivers may be replaced by autonomous vehicles, he said.
"Really old businesses don't adapt really quickly. You can't turn back the clock; it's managing the change that's hard to do in a way that you don't break lives," said Lewis.
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.