Logistics and supply chain managers are getting smarter ... at least when it comes to using software intelligence to run their supply chains. Sixty-five percent of the respondents to a survey on supply chain software usage said they now use software for analysis.
That was one of the key findings of the annual study conducted for CSCMP's Supply Chain Quarterly's sister publication, DC Velocity. The findings are based on 167 responses received from readers of both publications. The survey, now in its third year, provides a snapshot of how logistics and supply chain managers are using software to improve their operations.
The breakdown of survey respondents resembled that of previous studies. As in past surveys, manufacturers made up the largest category of survey takers, at 35 percent of respondents. Next came third-party logistics service providers (3PLs), at 15 percent. Wholesale distribution, retail, and transportation each accounted for 9 percent, while the remaining 23 percent fell into the "other" category. A plurality of survey takers came from small companies, with 56 percent working for companies with under $500 million in annual revenue.
WMS still number one
So what software tools are readers using? As was the case in the past two surveys, warehouse management systems (WMS) topped the list, with 50 percent of respondents using this application. Because a WMS oversees distribution center operations, it's a mainstay application for any company running a logistics or supply chain operation.
[Figure 2] What are the hot areas for analytics in the supply chain?Enlarge this image
[Figure 3] Why don't companies take advantage of analytics?Enlarge this image
The second most commonly used application was also no surprise. Enterprise resource planning (ERP) software, which serves as the system of record for financial transactions, was used by 46 percent of the survey respondents. In third place were order management systems, used by 43 percent. Fourth on the list was transportation management software (TMS), used by 41 percent—an unsurprising result given that the software, which is used for managing carriers, is a mainstay of today's logistics operations. In fifth place, cited by 35 percent, was analytics, a software category that's gaining in importance. (For the full list, see Figure 1.)
The ranking of the software tools in the middle also came as little surprise. Although demand planning offers value to large companies selling or making thousands of stock-keeping units (SKUs), many of their smaller counterparts still aren't using sophisticated software tools for forecasting. Similarly, inventory optimization tends to be used by companies struggling to manage the inventory for thousands of SKUs across several locations.
The tools ranked on the bottom of this list are either of interest to a narrow base or are new technology. For example, distributed order management systems, used by 10 percent, is deployed by omnichannel retailers to determine whether to fill an online order from a store or from a warehouse/distribution center. Another application, the control tower system, also cited by 10 percent, is a nascent technology that's now only being deployed by multinational companies to manage their end-to-end supply chains. Ten percent of respondents were using trade management software, an application only of value to companies involved in cross-border trade, and 8 percent were using demand sensing, an advanced application used currently by consumer product companies to quickly discern changes in consumer buying preferences.
Thirty percent of respondents had bought new supply chain software in the past year. Most popular were WMS packages, which were bought by 33 percent, while 24 percent bought a new TMS. Interestingly, the third most frequently purchased type of software was analytics, cited by 15 percent—another indication that more companies are interested in using software intelligence to gain insights into their operations.
The payback struggle continues
The survey found that many companies are still struggling with the issue of return on investment (ROI) on their software purchases. Although 43 percent of respondents said they had received the expected payback from a purchase, an equal number said they were unsure as to whether they had recouped their investment. On the other hand, 14 percent were firm in their view that their company had not received the expected return on their supply chain software investment, not surprising considering that a supply chain software license or subscription can run into the thousands of dollars and entail additional fees for consulting, training, and systems integration.
As the survey made clear, when it comes to payback, expectations vary widely. At one end of the spectrum were companies that expected payback within three months (7 percent). At the other were those that were willing to wait more than three years (6 percent). The remainder expected a return within one year (23 percent), within two years (10 percent), within six months (8 percent), and within three years (5 percent). It should be noted that 38 percent of survey takers said they did not know what the time frame was for expected payback at their company.
Many companies have found that cloud-based software provides a faster ROI than the traditional on-premise deployments; in fact, 49 percent of the respondents that are using cloud software said that this deployment method had shortened payback. Cloud solutions do not entail added costs for installation, hardware, systems integration, maintenance, and custom coding, and their lower upfront costs can translate to a quicker payback.
With those benefits, it's no surprise that the percentage of users moving to the cloud has increased over last year. Forty-five percent of survey respondents said that they are using cloud deployment for at least one type of supply chain software tool, compared to only 33 percent in last year's survey.
Growing use of analysis
The survey results underscored the growing use of software intelligence to find answers to supply chain problems as well as some of the issues associated with using these tools. Sixty-five percent of respondents said they are now using software for analysis. What's interesting is that only 32 percent are using tools especially designed for that purpose. This suggests that many companies conducting software analysis are taking advantage of the embedded analytics that are increasingly found in more advanced TMS, WMS, and inventory optimization (IO) packages.
When it comes to using software intelligence, almost half of those doing analysis—49 percent—use their tools for diagnostics to identify the root cause of problems. Another 43 percent use software for either descriptive or predictive analytics. (Descriptive analytics details and compares performance, while predictive analytics generally takes the form of demand planning tools.) Surprisingly, 39 percent said they were engaging in "big data" analysis, which involves sifting through reams of information for operational insights. Only 13 percent were engaged in cognitive analytics, which uses self-learning and machine-intelligence technologies to mine data, while 12 percent were making use of prescriptive analytics, which proposes solutions.
As for where they're applying these tools, the survey found that 62 percent of those respondents who are using analytics were using them for demand planning or forecasting, a critical business issue for companies trying to determine what to manufacture and distribute. Second on the list was inventory management, another important business issue, as companies must balance the cost of buffer inventory against the potential loss of revenue from a missed sale. Third was transportation, an area of concern as shippers seek to control shipping costs. (See Figure 2 for the complete list.)
Although more companies are turning to analytics, 25 percent have yet to take the plunge and another 10 percent are unsure if their companies are making use of these capabilities. When the nonusers were queried about the reasons for their hesitation, the top reason was lack of information technology (IT) support, cited by 32 percent. (See Figure 3.) That response is not surprising given that one of the issues bedeviling analytics right now is that many of those tools are not easy to use and often require the expertise of data scientists to assist in interpreting the results. The lack of data-visualization capabilities (which would allow users to see the results in the form of charts and graphs) and the need to use third-party software like Tableau to provide any type of results visualization are among the factors hindering greater adoption of analytics in business disciplines like logistics and supply chain management.
The integration challenge
Survey takers were also asked to name the biggest challenge they face to the successful deployment of a supply chain software application. As was the case last year, the number one challenge was systems integration, cited by 28 percent. Clearly, companies still find it difficult to get disparate systems to exchange information. Next on the list was the lack of IT resources, cited by 21 percent of respondents. Inadequate support from upper management, named by 17 percent, was the third most frequently cited challenge. (See Figure 3 for the complete list.)
Overall, the survey's findings underscore two themes in the business world in regard to information technology that, not surprisingly, are influencing supply chain software. Companies are increasingly turning to cloud deployments for software tools to receive a faster ROI and justify the expense. And despite obstacles such as the lack of data visualization, companies are starting to apply more analytics to gain insights into their operations in an effort to cut costs and boost profits.
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.
Inclusive procurement practices can fuel economic growth and create jobs worldwide through increased partnerships with small and diverse suppliers, according to a study from the Illinois firm Supplier.io.
The firm’s “2024 Supplier Diversity Economic Impact Report” found that $168 billion spent directly with those suppliers generated a total economic impact of $303 billion. That analysis can help supplier diversity managers and chief procurement officers implement programs that grow diversity spend, improve supply chain competitiveness, and increase brand value, the firm said.
The companies featured in Supplier.io’s report collectively supported more than 710,000 direct jobs and contributed $60 billion in direct wages through their investments in small and diverse suppliers. According to the analysis, those purchases created a ripple effect, supporting over 1.4 million jobs and driving $105 billion in total income when factoring in direct, indirect, and induced economic impacts.
“At Supplier.io, we believe that empowering businesses with advanced supplier intelligence not only enhances their operational resilience but also significantly mitigates risks,” Aylin Basom, CEO of Supplier.io, said in a release. “Our platform provides critical insights that drive efficiency and innovation, enabling companies to find and invest in small and diverse suppliers. This approach helps build stronger, more reliable supply chains.”
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.
Specifically, the two sides remain at odds over provisions related to the deployment of semi-automated technologies like rail-mounted gantry cranes, according to an analysis by the Kansas-based 3PL Noatum Logistics. The ILA has strongly opposed further automation, arguing it threatens dockworker protections, while the USMX contends that automation enhances productivity and can create long-term opportunities for labor.
In fact, U.S. importers are already taking action to prevent the impact of such a strike, “pulling forward” their container shipments by rushing imports to earlier dates on the calendar, according to analysis by supply chain visibility provider Project44. That strategy can help companies to build enough safety stock to dampen the damage of events like the strike and like the steep tariffs being threatened by the incoming Trump administration.
Likewise, some ocean carriers have already instituted January surcharges in pre-emption of possible labor action, which could support inbound ocean rates if a strike occurs, according to freight market analysts with TD Cowen. In the meantime, the outcome of the new negotiations are seen with “significant uncertainty,” due to the contentious history of the discussion and to the timing of the talks that overlap with a transition between two White House regimes, analysts said.